Data Management
Buyer’s Guide
Includes a Category Overview,
Top 10 Questions to Ask, Plus, a Capabilities Reference of
the Leading 28 Providers for Data Management Solutions
\\
2017 Buyer’s Guide
2 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
2
Data Management
anagement INTRODUCTION
Data Management solutions meet at the intersection of Big Data and business analytics. These tools allow for the
ongoing care of vital data so that it may be readily and continually available for analysis – where insights are
discovered. Data Management platforms may be seen as mediators between all of the data an organization collects
for future use, and a grand organizer that makes tidy analysis possible.
Traditionally, Data Integration tools work to load data from disparate sources into the data warehouse so that analysis
could take place. While this is still prevalent, many companies are finding that their expanding data volumes are
forcing them out of the data warehouse. The sheer volume and velocity of data that has been made available to
modern businesses is just too great for legacy solutions to handle. When we talk about volume and velocity, we are
discussing the topic of Big Data, a great buzz word, but also a very real concern for organizations that collect data
from multiple sources.
This expansion in data collection has created a need for dedicated Data Management
platforms. An evolving enterprise solution for organizations to collect data from
different sources and encapsulate it all into one medium, organize it, clean it, and
ensure that it is ready to be analyzed when a business user needs. Data Management
tools provide data analysts with the flexibility they need to collect whatever data they
feel could have an impact on the bottom line. The best solutions offer what we like to
think of as ‘smart storage’, providing data quality, integrity, and data protection
capabilities.
It’s true that Big Data has helped to create a need for such tools, and as you begin your search, you’ll find that many of
the vendors may make little mention of the term ‘Data Management.’ Instead, they may call themselves Big Data
providers. While they aren’t actually providing the data, they do offer the management options to assist your
organization in dealing with it. In this way, companies can augment their existing data warehouse environment with
more modern approaches to dealing with what some see as the ‘data problem.’
As enterprises branch out and start to store more than just transaction data, the Data Lake becomes an integral
factor. The key benefit to the Data Lake is that it can store data from many connectors, which provides expanded
flexibility to those looking to analyze data in a more broad sense, providing the ability for more in-depth search and
discovery. In addition, the Data Lake gives companies the capabilities they need to accommodate more than one type
of data and run analysis on it simultaneously.
Given the recent surge in data-related disasters as a result of hacks and data breaches, organizations are looking to
secure their data with more thorough governance. Many large retailers and governmental organizations have fallen
victim to poor Data Management techniques, resulting in catastrophic loss. As regulations grow stricter and
compliance mechanisms become more common, organizations will grow increasingly interested in dedicated
management tools, ensuring that they are keeping their data in a way that safeguards it from outside influences.
These solutions are quite useful in this theatre, in many cases providing vital privacy and protection to act as a barrier.
Tim King
Editor, Data and Business Intelligence
“In this Guide,
there is a solution
for everyone, from
small groups to
multi-nationals.”
2017 Buyer’s Guide
3 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
3
Data Management
anagement
5 Questions You Should Ask Yourself Before Selecting a Data Management Solution
QUESTION #1 Why do I need a Data Management platform?
Too often organizations fall victim to vendor marketing pitches that convince them that their shiny
new toy is necessary for deriving insights. Before signing your life away, you’ll want to be sure that
dedicated Data Management platform will help you to perform more in-depth analysis. Modern
digital businesses are requiring more complex ways to store, protect and automate the processes
by which their data is held, and that’s precisely where these technologies come into play.
QUESTION #2 What kinds of data do I collect? What are my data sources?
After you’ve come to the conclusion that a Data Management platform will be of service, you’ll next
need to record all of the sources where your data comes from. This way you can weed out the
solutions that don’t immediately fit your needs. If you plan to collect data from a new source in the
near future, you’ll want to narrow down your short list of solutions to only the ones that can meet
the needs of your organization. There is no perfect tool, so if a specific vendor doesn’t offer a
connector to a vital source, simply move on to the next.
QUESTION #3 What level of data security do I need?
Some vendors offer expansive data protection capabilities inside their
platforms. Of course, these add-ons come with a price, and it would be
helpful to know upfront whether or not securing your stored data is a
priority to the degree that paying for it represents. We think it is, but
some organizations like to maintain those protocols in-house. Many
solution providers even go a step further, offering services that ensure
certain data types remain compliant with ever growing regulations,
which leads us to our next question.
QUESTION #4 Which use cases do I want to focus on? What will the impact look like?
In other words, what does the deployment of a Data Management platform help you do differently?
Focusing on specific use cases helps to ensure that the implementation of this technology helps
move the needle along the desired path. The impact should be measurable in terms of insights
gained, but it will also require collaboration amongst users. The expansion of data volumes and
velocities should always result in an end goal of expanded business value.
“Many providers
offer services
that ensure
certain data
types remain
compliant.”
2017 Buyer’s Guide
4 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
4
Data Management
anagement QUESTION #5 Will a Data Management platform help me maintain compliance?
Organizations that place a hefty emphasis on data are increasingly realizing they are not in
compliance with industry regulations which advise on how to properly maintain certain data types
that include sensitive information. In many cases, companies are flocking to Data Management
platforms for this reason, so that they may automate the process of regulatory compliance and
ensure that they are following the law. Compliance is vital in any vertical where personal records
are shared. Healthcare and government are just two of the major players. If your organization
resides in a highly regulated industry, it becomes vital to choose a tool that will help you remain up-
to-date.
And 5 Questions You Should Ask Your Potential Data Management Solution Provider
QUESTION #6 Can your solution integrate all of the data types that I require?
As the main hub for all of the data you collect, it is only natural to make sure that any vendor you
come in contact with can meet the immediate and future needs of your data environment, whether
you require the capture and storage of social media, mobile, website, or real-time streaming
Internet of Things data. Be absolutely sure that your desired data types are covered. It doesn’t hurt
to think ahead a bit, either, by planning for the projected growth of your company’s data sources.
So, be sure to discuss scalability as it relates to your particular situation.
QUESTION #7 Does your solution allow ease-of-analysis?
This is subjective, and every vendor will surely reply with the same
answer. However, it’s important to understand how the solution
provider plans to supply this. Any tool should make it easy for you to
manage your data and perform analysis when you see fit. Remember,
your organization is one that includes individuals with specific skills,
so any potential vendor’s way of making Data Management easy
should line up with how your company already operates. Your
definition of easy and theirs could easily veer in different directions, so
select a tool that bends to fit your framework, not the other way around.
“Any potential
vendor should
line up with how
your company
already
operates.”
2017 Buyer’s Guide
5 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
5
Data Management
anagement QUESTION #8 Does the tools off built-in analysis?
Since Data Management is aimed at allowing organizations to dig even deeper into their analytical
frameworks, it is only natural that some of the solutions provide their own proprietary analytics
tools inside. This boils down to personal preference. Going with a vendor that includes analytics
built-in could be a great way to save some money and avoid getting too technical. On the flip side,
perhaps you’re already using a business analytics tool you really like, in which case you can deploy
a best-of-breed approach.
QUESTION #9 Does the solution automate the connection of data from outside sources or does it require the
configuration of manual integrations?
Similarly to how you asked the vendor about the types of data
that their platform supports, you should find out whether or not
the solution includes pre-built integrations that allow for
seamless deployment. This way, you’ll be able to hook right into
whatever data sources you were already using without having to
go outside the management tool to secure connectors via a
standalone Data Integration solution.
QUESTION #10 How will your solution work inside my current environment?
Moving to a full-featured Data Management platform can certainly shake up the current
configuration of your environment, so bringing in a technical expert to consult may be a good idea.
Many companies that have traditionally utilized a data warehouse environment are adding Data
Management platforms to give themselves added flexibility and a new way to hold onto vital data
for analysis. Like anything else, if it seems too good to be true, question it, and while demoing, see
if they will entertain setting up a mock trial of their solution inside your environment so you can get
a sneak peek.
“You should ask
whether the solution
includes pre-built
integrations."
2017 Buyer’s Guide
6 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
6
Data Management
anagement
Data Management Solution Profiles
1010data ________________________________________________________________________________________________ 7
Adobe _________________________________________________________________________________________________ 8
Cloudera _________________________________________________________________________________________________ 9
EnterWorks ________________________________________________________________________________________________ 10
Hortonworks ________________________________________________________________________________________________ 11
HPE ________________________________________________________________________________________________ 12
IBM ________________________________________________________________________________________________ 13
Informatica ________________________________________________________________________________________________ 14
Krux ________________________________________________________________________________________________ 15
Lotame ________________________________________________________________________________________________ 16
MapR ________________________________________________________________________________________________ 17
MarkLogic ________________________________________________________________________________________________ 18
MemSQL ________________________________________________________________________________________________ 19
Microsoft ________________________________________________________________________________________________ 20
Oracle _______________________________________________________________________________________________ 21
Panoply.io _______________________________________________________________________________________________ 22
Pivotal _______________________________________________________________________________________________ 23
RedPoint _______________________________________________________________________________________________ 24
Relay42 _______________________________________________________________________________________________ 25
Redshift (Amazon) _______________________________________________________________________________________________ 26
Riversand _______________________________________________________________________________________________ 27
SAP _______________________________________________________________________________________________ 28
SAS _______________________________________________________________________________________________ 29
Snowflake _______________________________________________________________________________________________ 30
Stibo Systems _______________________________________________________________________________________________ 31
Talend _______________________________________________________________________________________________ 32
Teradata _______________________________________________________________________________________________ 33
Zaloni _______________________________________________________________________________________________ 34
2017 Buyer’s Guide
7 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
7
Data Management
anagement 1010data
Acquired by Advance in August 2015, 1010data is a managed service data
warehouse provider offering complete big data discovery and analytics
solution that delivers a scalable, easy to use platform. The first significant
customer for the service was the New York Stock Exchange. As digital data
volumes have grown internationally, 1010data's platform has scaled to meet
demand.
From the Company
“Because 1010data has been built as a single, integrated cloud-based platform, users have all of the analytical
tools and data they need on a purpose built platform. 1010data enables users with little knowledge of complex
programming languages to quickly and easily create powerful analytic applications on top of Big Data in minutes.
With 1010data’s QuickApps, users can create everything from form-based analyses and management dashboards
to complex applications that provide business users with the exact information they need in the precise form the
need it.”
Key Features
Scalability – The combination of technologies enables the platform to deliver fast performance and linear
scalability.
Many Service Options – 1010data offers a complete suite of products for big data discovery and data sharing for
both business and technical users.
Industry specific – 1010data's proprietary database management system is tailored to fit the needs of your
industry from healthcare, to retail, telecom, and more.
Bottom Line
1010data’s data management solution is aimed at the financial services, retail/consumer packaged goods,
telecom, government and healthcare sectors. Analysts at 1010data have built several applications atop the
1010data platform that are optimized to work in Big Data environments.
750 Third Avenue
New York, NY 10017
United States
+1 212-405-1010
www.1010data.com
2017 Buyer’s Guide
8 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
8
Data Management
anagement Adobe
Adobe recently announced the availability of Audience Marketplace, a new
data exchange in Adobe Audience Manager. Audience Marketplace is a private
data marketplace that connects advertisers and content publishers to buy and
sell second and third-party data without the time-consuming challenges of
setting up individual partnership agreements. Adobe also offers
AudienceManager, a data management platform that helps users build unique
audience profiles to identify valuable segments and use them across any
digital channel.
From the Company
“Adobe AudienceManager, the industry’s first DMP that consolidates audience information from all available
sources, helps identify and reach key audience segments so advertisers and publishers can consistently deliver
more relevant, customized digital experiences to their customers. The solution enables advertisers and publishers
to manage how their audience data is collected, shared and used among their partner technologies, systems and
processes. Adobe AudienceManager customers include Condé Nast, Intuit, Sony, and Travelocity among others.”
Key Features
Full-Stack Solution- Adobe offers a wide range of service options, including marketing tools like Adobe Audience,
and data management tools like Audience Manager.
Easily integrate services- Integrate with any of our Adobe Marketing Cloud solutions. And integrate with external
vendors, too.
Innovative Product Development- Adobe sets out to build the right tools for businesses, so you get all the right
services from one platform.
Bottom Line
Products allow businesses to use rules based on attributes, like behavior and demographics to build niche
audience segments. Businesses can grow their revenue and customer base through unified, actionable views of
their audiences.
345 Park Avenue
San Jose, CA 95110
United Sates
+1 408-536-6000
www.adobe.com
2017 Buyer’s Guide
9 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
9
Data Management
anagement Cloudera
Cloudera Incorporated is an American software company headquartered in
Palo Alto California. Cloudera's open-source Apache Hadoop distribution,
CDH (Cloudera Distribution Including Apache Hadoop), targets enterprise-
class deployments of that technology. Cloudera differentiates itself from
other Hadoop distribution vendors by continuing to invest in specific
capabilities, such as further improvements to Cloudera Navigator (which
provides metadata management, lineage and auditing), while at the same
time keeping up with the Hadoop open-source project.
From the Company
“Hadoop has evolved significantly in the past ten years, and with every advancement, we see the potential for new
applications and use cases, while improving what’s already being done. The advancement of data engineering and
ETL development with Hive-on-Spark marks a critical milestone in this evolution - further solidifying Spark’s status as
the standard data processing engine in Hadoop. Data engineering is only a part of the story in today’s business
though and, with the 5.7 release, our customers can better enable a wide range of users across the platform, all
while maintaining fast performance, easy management, and compliance-ready security.”
Key Features
Auditing Data Access and Privileges - Cloudera Navigator auditing features add secured, real-time audit
components to data and access frameworks, and allow compliance groups to configure, collect, and view audit
events, and to understand who accessed what data and how.
Searching metadata/visualizing lineage - Cloudera Navigator metadata management features allow data stewards,
business analysts, and data scientists to define, search and amend the properties of, and tag data entities.
Policies - Policy features enable data companies to specify automated actions based on data access or on a
schedule to add metadata, create alerts, and move or purge data.
Bottom Line
Cloudera provides data storage and processing platform product based on the Apache Hadoop ecosystem, as well
as a proprietary system and data management tools for design, deployment, operations and production
management.
1001 Page Mill Road
Palo Alto, CA 94304
United States
+1 888-789-1488
www.cloudera.com
2017 Buyer’s Guide
10 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
10
Data Management
anagement EnterWorks
In April of 2015, EnterWorks was acquired by Black Dragon Capital, a
growth-oriented venture fund. The Black Dragon investment has allowed
EnterWorks to accelerate its product roadmap, expand its team and position
the company for significant growth. The investment has enabled EnterWorks
to expand its product offering and meet the increased demand for solutions
that address the growing challenges of businesses looking to harness the
power of their product content. Solutions include master data management
and product information management solutions for customers in industries
such as consumer goods, hospitality, QSR, medical, technology, office
products, equipment, fashion, and services.
From the Company
“EnterWorks is a market leader in master data solutions for acquiring, managing and transforming a company’s
product information into persuasive and personalized content for marketing, sales, digital commerce and new
market opportunities. Since its inception, an excess of $40 million has been invested into the business creating a
stable and reliable company with solutions benefitting from the experience of a team with an average tenure of 10
years.”
Key Features
Customization – Businesses can tailor data domains to their specific needs, model and master/reference data
preferences.
Integration – Integrate databases, systems (ERP, CRM, WMS, OMS), or customer/social networks easily and at
large volumes.
Syndication – Extract, load, and scrub source information and publish/syndicate information to external entities.
Bottom Line
Businesses can orchestrate product content collaboration within their organization while exchanging consistent,
accurate product information with suppliers, customers, partners and marketplaces.
46040 Center Oak Plaza
Sterling, VA 20166
United States
+1 888-242-8356
www.enterworks.com
2017 Buyer’s Guide
11 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
11
Data Management
anagement Hortonworks
Hortonworks is a enterprise computer software company based in Santa
Clara, California, named after Horton the elephant in the Horton Hears a
Who! book. The company focuses on the development and support
of Apache Hadoop. Hortonworks DataFlow (HDF™) manages data-in-motion,
by securely acquiring and transporting data to Hortonworks Data Platform,
which manages data-at-rest for all types of data, with enterprise-grade
governance, security, and operations.
From the Company
“We make it possible to solve the hard problems of creating actionable intelligence from data through open
architectures for the modern digital enterprise. For all the visionaries, creators and makers who are building the
future out there, we stand right behind you: helping you with data-at-rest and data-in-motion, in real time and near
time, predictive, streaming, structured, unstructured and anything in between. How we do it matters to us. We reject
outright the notion that vendors only succeed through lock-in and proprietary technologies. We believe in a 100%
open approach. The more open we all are, the more we will each be inspired and inventive.”
Key Features
Hortonworks DataFlow – Provides immediate operational visibility and control, enabling real-time decisions and
interaction with streaming data generated by a hyper-connected world of people, systems and things.
Hortonworks Data Platform is open – The Apache Hadoop distribution that is driven by an open approach, built
around a central architecture, and prepared for the enterprise with built-in security, governance and operations.
Bottom Line
The Hortonworks Data Platform is an enterprise-grade data management platform that enables a centralized
architecture for running batch, interactive and real-time applications simultaneously across a shared dataset.
5470 Great America
Parkway
Santa Clara, CA 95054
United States
+1 855-846-7866
www.hortonworks.com
2017 Buyer’s Guide
12 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
12
Data Management
anagement Hewlett Packard Enterprise
HPE is a multinational information technology company, founded in
November of 2015 as part of the now, split, Hewlett-Packard company.
HPE’s portfolio for data management solutions for analytics includes, HPE
Vertica- based on the core Vertica DBMS, a column store analytic DBMS. It
is available as a cloud solution, as a software-only option and as an
appliance. It offers integration with Hadoop with HPE Vertica for SQL on
Hadoop
From the Company
“HP Hybrid Data Management Architecture Services harness the power of all available data, internal and external,
structured and unstructured regardless of where the data resides. We provide a strategic road map that enables
clients to discover, develop, and execute on a strategy that modernizes their BI and analytics capabilities. The
services leverage our Hybrid Data Management Reference Architecture when defining specific solutions to a set of
use cases.”
Key Features
Develop and Deploy – Rapid development and/or deployment of analytic apps in production on an integrated,
industrial-strength big data platform.
Greater ROI – Return on investment with reduced upfront costs, faster time to value, fast access to all business
data and the ability to generate analytic insights in real time.
Speed – Accelerate decision-making processes and boost business agility with Big Data analytics embedded into
frontline business applications and processes.
Bottom Line
HPE designs IT architectures that can handle volume, operate quickly, and can process a variety of data. Whether
you’re running on Hewlett Packard Enterprise or third-party gear, their open infrastructure technology and
implementation will process big data effectively.
3000 Hanover St.
Palo Alto CA 94304
United States
+1 800-607-3567
www.hpe.com
2017 Buyer’s Guide
13 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
13
Data Management
anagement IBM
IBM offers data management solutions, data warehouse appliances, a z/OS
solution, and a Hadoop distribution with BigInsights. Its appliances include
the IBM PureData System for Analytics, the IBM PureData System for
Operational Analytics, the IBM DB2 Analytics Accelerator and the IBM Smart
Analytics System. IBM offers DB2 with Blu Acceleration, as well as data
warehouse managed services.
From the Company
“The era of big data is upon us. Organizations are eager to leverage massive volumes of information and new types
of data to generate unprecedented insights and improve business outcomes. Customer data is at the heart of many
of these initiatives. IBM Information Management solutions deliver trusted information throughout your information
supply chain and help you analyze your information to gain insights, identify breakdowns, and make better decisions
that will optimize your business.”
Key Features
Services-oriented architecture – Delivers functionality through intelligent, pre-packaged web services that can be
used to seamlessly integrate with existing business processes and technical architectures.
Pre-built and extensible data models – Import existing data models or build data models from scratch.
Business process management – These capabilities enable businesses to implement policies and coordinate
multi-step / multi-role workflows for data stewardship and data governance on-premise, in the cloud, or inside a
hybrid environment.
MDM Application Toolkit – Delivers business value rapidly with governance applications through pre-built
blueprints and widgets for embedding within existing applications.
Bottom Line
IBM database solutions help you manage data across multiple workloads, while reducing administration, storage,
development and server costs. The solutions manage data from ‘requirements to retirement’, and can assure the
privacy and integrity of vital data.
590 Madison Avenue
New York, NY 10022
United States
+1 800-426-4968
www.ibm.com
2017 Buyer’s Guide
14 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
14
Data Management
anagement Informatica
Informatica is headquartered in Redwood City, California and was founded
in 1993. Informatica is an independent software provider with data
management solutions that allow businesses to leverage their information
assets residing on-premise, or the cloud. Informatica Application
Information Lifecycle Management (ILM) software empowers IT to cost-
effectively handle data growth, safely retire legacy systems and
applications, and optimize test data management. This family of software
handles every phase of the data lifecycle from creation to disposal for end-
to-end information lifecycle management.
From the Company
“Informatica helps your IT organization cost-effectively manage data growth in a range of enterprise business
applications to significantly improve their performance and reduce IT costs. With Informatica Data Archive, your IT
team can organize data into application-aware partitions based on its value to the business, safely and easily archive
application data, provide seamless access to the archived data, and deliver archived data to the business as
needed—while controlling the risk of regulatory noncompliance.”
Key Features
Development Agility – Offers tools that make it easy for business and IT to prototype, operationalize, and reuse
quickly.
Enterprise Scalability – Solutions are deployable with flexibility for departments, enterprises, or Integration
Competency Centers.
Operational Confidence – Products Provide visibility and insight into your business-critical processes.
Bottom Line
Informatica’s PowerCenter solution forms the foundation for all data integration initiatives, including analytics and
data warehousing, application migration, or consolidation and data governance. It is a service oriented architecture
and has the capability to share service and resource across several machines.
2100 Seaport Blvd.
Redwood City, CA
94063
United States
+1 650-385-5000
www.informatica.com
2017 Buyer’s Guide
15 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
15
Data Management
anagement Krux
Krux is a next-gen data management platform that unifies people data from
multiple sources, analyzes the data to identify and understand individual
preferences and expectations, and then activates the data across every
channel in real time. Krux's complete architecture delivers on-demand data
insights that are actionable and help businesses sustain a virtuous cycle of
valuable customer experiences.
From the Company
“Krux is driven by a relentless focus on people: who they are, what they need, what they want, and what they expect.
Our solution enables businesses to understand individuals and deliver experiences tuned to their needs and
preferences. Data signals are drawn from all screens and sources and used to improve experiences across all
consumer touchpoints. What’s more, Krux learns iteratively, continuously responding to new data signals and data
sources, to enable smarter interactions, deeper engagement, and improved revenue performance.”
Key Features
Governance – Guards your people data, that of your customer and partners, and controls where it goes.
Learning – Iterative, real-time learning and granular, precise responses to people’s evolving needs are at the
essence of plasticity.
Synthesis – With synthesis, your data is unified and converted into actionable insights across all screens, silos and
systems.
Identity – Lets you recognize individuals across browsers, devices and screens.
Bottom Line
People Data Activation comprises six core capabilities: completeness, governance, learning, synthesis, identity and
actionability. Through a unique combination of SaaS technology, implementation, advisory, and data science
services, Krux helps companies cultivate all six capabilities.
350 5th Avenue
New York, NY 10118
United States
+1 646-476-6261
www.krux.com
2017 Buyer’s Guide
16 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
16
Data Management
anagement Lotame
Lotame is Headquartered in Maryland, and its data management solution
has been architected to deliver for both marketers and publishers. The
platform’s tools and features enable businesses to maximize effectiveness
at every stage of a data strategy. Lotame’s DMP enables collection of first-
party data from across sites, apps and ad campaigns. Users can then
combine this data with insights from other first-party sources, such as email
data or data housed in the CRM system.
From the Company
“Industry-leading analytics tools built into Lotame’s DMP enable you to uncover new insights into both the audience
segments you create and the people who engage with your content or campaigns. The platform also includes a suite
of manual and fully automated optimization tools. These tools can be used to add scale to your cross-screen
campaigns as well as increase performance against your specific KPIs.”
Key Features
Organize – As it is collected, first-party data will automatically flow into hierarchies within the platform, then use
these hierarchies to create audience segments, selecting the specific demographics, interests and actions in a
target.
Activate – Lotame is a media agnostic platform and won’t dictate which channels users activate data within. Pre-
set direct integrations with every major DSP, ad server, exchange and SSP.
Optimize – Industry-leading analytics tools built into Lotame’s DMP enable users to uncover new insights into both
the audience segments the people who engage with content or campaigns.
Bottom Line
Lotame’s data collection allows users to capture granular data points so users can build a complete profile of
audiences. As online and offline data flows into the DMP, it will be categorized within hierarchies. Each hierarchy
will capture a specific behavior or demographic trait, such as age, gender and interests, to create audience
segments for use in ad targeting.
8850 Stanford Blvd.
Columbia, MD 21045
United States
+1 410-379-2195
www.lotame.com
2017 Buyer’s Guide
17 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
17
Data Management
anagement MapR Technologies
The MapR Converged Data Platform integrates Hadoop and Spark with global
event streaming, real-time database capabilities, and enterprise storage for
developing and running innovative data applications. The MapR Platform is
powered by fast, reliable, secure, and open data infrastructure that lowers total-
cost-of-ownership and enables global real-time data applications.
From the Company
“MapR was engineered for the data center with IT operations in mind. MapR enables big data apps using Hadoop,
Spark, and more to serve business-critical needs that cannot afford to lose data, must run on a 24x7 basis, and
require immediate recovery from node and site failures – all with a smaller data center footprint. MapR supports
these capabilities for the broadest set of data applications from batch analytics to interactive querying and real-time
streaming.”
Key Features
Architecture – MapR Converged Data Platform is 100% binary compatible with the Apache Hadoop distributed file
system (HDFS) to ensure plug-and-play compatibility and no vendor lock-in.
One Platform for Big Data Applications -- Integrates the power of Hadoop and Spark with global event streaming,
real-time database capabilities, and enterprise storage for developing and running data applications.
Open Source Commitment – MapR also contributes to open-source community through contributions to projects
such as Apache Mahout and Apache Drill.
Bottom Line
The MapR Converged Data Platform supports a broad set of applications and uses, including reliable and real-time
applications, and global event streaming with web-scale storage, for developing and running data applications in a
single cluster.
350 Holger Way
San Jose, CA 95134
United States
+1 408-914-2390
www.mapr.com
2017 Buyer’s Guide
18 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
18
Data Management
anagement MarkLogic
MarkLogic offers a next generation database that is built with a flexible data
model to store, manage, and search today’s data, without sacrificing any of
the data resiliency and consistency features of last-generation relational
databases. With these capabilities, MarkLogic is ideally suited for making
heterogeneous data integration simpler and faster and for doing dynamic
content delivery at massive scale.
From the Company
“Since our inception in 2001, MarkLogic Corporation has focused on offering organizations a new generation
database platform designed to integrate, store, manage, and search more data than ever before. Global enterprises
and governments rely on MarkLogic to power intelligent, high performance applications aimed at analyzing data for
better insights and also running crucial day-to-day business operations. With MarkLogic, organizations achieve
faster time-to-value than was possible with legacy relational databases, while minimizing risk and improving data
quality.”
Key Features
Simpler Data Integration – Cut down on expensive data integration by quickly ingesting all of your data as-is, and
then do agile application development without constraints on top of a stable data layer.
One Unified Platform – Perform all functions as a single platform, eliminating the need for separate systems for
transactions, analytics, and search.
Reduced Costs – Deploy enterprise applications on cost-effective commodity servers in the cloud, while preserving
the option to change hardware, data, and scale in the future.
Bottom Line
MarkLogic is an operational and transactional Enterprise NoSQL database that is designed to integrate, store,
manage, and search more data.
999 Skyway Road
San Carlos, CA, 94070
United States
+1 877-992-8885
www.marklogic.com
2017 Buyer’s Guide
19 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
19
Data Management
anagement MemSQL
MemSQL combines real-time streaming, database, and data warehouse
workloads for sub-second processing and reporting in a single, scalable, easy-
to-manage database. Their product offers a real-time monitoring system that
supports many applications ranging from data center management to fraud
detection. While stream processing engines get one chance to analyze data
on the fly, MemSQL provides both real-time ingest and retention for historical
data.
From the Company
“As the world changes—and it's changing faster than ever—you need to be adapting to it. You need to be anticipating
problems before they occur. You need to be able to shift direction as fast as the trends do. And you need to know, in
the moment, that you're shifting in the right direction. The businesses that shape the future will be the ones capable
of this. They will make every moment work for them. Every change will become an opportunity. Insights will become
actions. And every piece of data, a new perspective that drives innovation and engagement. This will not wait. This is
today. Tomorrow. And every second of every day to come. This is what will separate the companies that thrive from
the ones that die.”
Key Features
Horizontal Scalability – MemSQL leverages a distributed computing model that’s easy to set up, maintain, and
scale. Reduce upfront and long-term maintenance costs with scale out on commodity hardware from your data
center to the cloud.
Deploy Anywhere – Choose from on-premises or cloud deployments that align with your existing infrastructure.
Horizontally scale on commodity hardware without a large up-front investment in a data center or in the cloud.
Analytics on New Data – By converging transaction and analytic processing, MemSQL eliminates unnecessary data
transfer and ETL.
Bottom Line
MemSQL is a high-performance, in-memory database that combines the horizontal scalability of distributed
systems with the familiarity of SQL.
534 Fourth Street
San Francisco, CA 94107
United States
+1 855-463-6775
www.memsql.com
2017 Buyer’s Guide
20 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
20
Data Management
anagement
Microsoft
Microsoft’s database management solution offers easy installation,
configuration, integration, and deployment. Microsoft helps by installing and
configuring the APS appliance, offering users an ecosystem of partners,
including Mariner, who help with planning, deployment and support.
Using PolyBase, it now supports the ability to query data using SQL across
the traditional data warehouse, plus data stored in the Hadoop region,
whether in the appliance or a separate Hadoop Cluster.
From the Company
“The Microsoft Analytics Platform System can meet the demands of your evolving data warehouse environment with
its scale-out, massively parallel processing integrated system supporting hybrid data warehouse scenarios. It
provides the ability to query across relational and non-relational data by leveraging Microsoft PolyBase and industry-
leading big data technologies. It offers the lowest price per terabyte for large data warehouse workloads.”
Key Features
Enterprise-Ready Big Data – PolyBase provides data processing and analytics by enabling seamless integration
between traditional data warehouses and big data deployments.
Next-Generation Performance – Get fast information to insight across petabytes of data with Microsoft Analytics
Platform System.
Engineered for Optimal Value – Products are engineered APS for optimal value through software innovations which
result in a lower cost for the appliance.
Bottom Line
Microsoft offers a data management platform for solving the integration challenges of MDM applications by
providing a wide range of data transformation and cleansing functionalites to manage unique identifiers,
attributes, and a set of development tools to create and manage large-scale data integration solutions
One Microsoft Way
Redmond, WA 98052
United States
+1 800-642-7676
www.microsoft.com
2017 Buyer’s Guide
21 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
21
Data Management
anagement Oracle
On February 24, 2014, Oracle announced that it signed an agreement to
acquire BlueKai’s Marketing Cloud solution and combine it with Oracle’s
Data Management Platform to personalize marketing programs and
customer experience. Oracle’s DMP give companies the ability to build rich
user profiles, combining information from first party and third party sources
including media, advertising, social, and mobile sources.
From the Company
“Modern marketers require new ways of acquiring, centralizing, interpreting, and activating customer data across
marketing channels so that they can enhance the customer experience and maximize the return on their marketing
spend. The addition of BlueKai to the Oracle Marketing Cloud enables marketers to act on data across both known
customers and new audiences and precisely target customers with a personalized message across all channels.”
Key Features
Retargeting – Implement customized re-targeting campaigns based on specific activities and behaviors taken on
or offline
Prospecting – Integrate with third-party audience data source to acquire anonymous data to achieve higher
precision and scale with targeting campaigns
Site Optimization – Use first or third-party data to determine customized content for different consumers when
they come to your website
Audience Intelligence – Contrast your site audience against third-party data sources to learn more about specific
audience attributes to target more likely converters.
Bottom Line
Oracle helps marketing teams by delivering customers relevant messages that resonate with their wants and
needs. Advertisers connect with the right audiences at the right time in the purchase cycle, generating more sales
and higher marketing ROI.
500 Oracle Parkway
Redwood Shores, CA
94065
United States
+1 650-506-7000
www.oracle.com
2017 Buyer’s Guide
22 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
22
Data Management
anagement Panoply.io
Based in San Francisco and Tel Aviv, Panoply.io is the cloud-based Data
Management for analytics company. Panoply.io enables companies to
seamlessly implement an end-to-end Data Management solution simplifying
and automating analytical Data Management tasks associated with running
Big Data on the cloud for mid-stage companies. Panoply.io’s technology is
based on machine learning and self-optimizing processes that analyze
query patterns, metadata and configurations to more easily and affordably
enable and improve Data Analytics infrastructure. The company is privately-
held and funded by investors such as Blumberg Capital and Intel Capital
From the Company
“Panoply.io is a cloud-based Data Management platform for analytics that streamlines time and value for data
engineers, scientists and analysts – automating the full data stack without the overhead of preparing and modeling
data, or managing infrastructure – cutting down development time by 80 percent.”
Key Features
Machine Learning Self-Optimization – Requires no schema, modeling or configuration. Panoply.io utilizes machine
learning and natural language processing (NLP) to automate standard Data Management activities.
Any Data, any tool, any scale – With its ETL-less integration pipeline, Panoply.io connects to a wide variety of
structured and semi-structured data sources – absorbing billions of writes daily without a line of code and
seamlessly working with any analytics tool, from dashboarding to Business Intelligence and data mining.
Fully-Managed Infrastructure – Panoply.io handles the infrastructure while providing full control. With its fully-
managed, end-to-end cloud platform, Panoply.io allows users to capture, process, store and analyze all your data
fast.
Bottom Line
Panoply.io automates all the Data Management tasks associated with running Big Data on the cloud so that
engineers and data scientists can focus on exploring data to discover and drive business value.
Isserles, 22
67014 Tel Aviv
Israel
+972 54 977 7862
Panoply.io
2017 Buyer’s Guide
23 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
23
Data Management
anagement Pivotal
Pivotal is an independent software company owned by EMC, VMware and
GE. It provides an open-source managed solution and its products include
Pivotal Greenplum and Pivotal HDB. To help companies adopt big data and
analytics and create data-driven business models, Pivotal has rolled these
open source technologies into a platform called Pivotal Big Data Suite.
Pivotal Big Data Suite allows companies to modernize their data
infrastructure, discover more insights with advanced analytics, and build
analytic applications at scale.
From the Company
“Pivotal Big Data Suite is agile, cloud-ready, and open. Companies can become agile with their data - modernizing
their data infrastructure, gaining insights with fast advanced analytic queries, and quickly making it operational with
rapid app development. Big Data Suite components can be deployed on commodity hardware, pre-certified
appliances, virtualized and private cloud instances, hybrid cloud configurations and in public clouds. Finally, Big Data
Suite is based on open source software, including the ODPi core.”
Key Features
Store and Process Any Size and Type of Data – Modernizing data infrastructure allows customers to implement a
business data lake. Data from any source can be ingested in any format, whether as batch files or at real-time
streaming velocity.
Parallel Processing on Large Data Sets – By deploying an advanced analytics platform, customers can apply data
science to discover new insights for solving business problems.
Bottom Line
With Pivotal Big Data Suite users can mix use of different products in the portfolio as the business requirements
evolve. The solution is priced by the core.
3495 Deer Creek Road
Palo Alto, CA 94304
United States
+1 650-846-1600
www.pivotal.com
2017 Buyer’s Guide
24 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
24
Data Management
anagement RedPoint
RedPoint Global is a data management and integrated marketing technology
company, headquartered in Wellesley, Massachusetts, and was founded in
2006. Redpoint’s data management solutions include: RedPoint Convergent
Marketing Platform, RedPoint Interaction, Interaction Real-Time, RedPoint
Data Management and RedPoint Data Management for Hadoop. The products
drive marketing success through more precise customer engagement with
speed, efficiency and simplicity.
From the Company
“We're reaching a tipping point in which nearly every decision will be driven by data. That means everyone will need
to pay particular attention to the quality of their data. Without data quality, you can't make truly informed business
decisions. As we head into the New Year, the quality of data, along with the scalability and performance of data
management solutions will only increase in importance. The success of our customers is our top priority, and we
look forward to continuing to serve data management and data quality tools in 2016.”
Key Features
Use any Data, Any Source – Extract, transform and deliver any data – structured or unstructured — to or from any
source with market-leading speed, efficiency and accuracy.
Achieve High Data Quality Faster – Cleanse data rapidly, standardizing, geo-coding, matching, linking, and more –
while also creating and maintaining persistent keys to ensure quality is maintained over time.
One Application for Data Quality and Integration – Avoid the mistakes and inefficiencies of handling data quality
and data integration separately .Ensure data governance by creating a single point of control.
Bottom Line
RedPoint Global offers a comprehensive set of ETL, data quality and data integration applications that operate in
and across both traditional and Hadoop 2.0/YARN environments. The company also offers data-driven customer
engagement solutions that help companies derive insights from customer behaviors and create consistent,
relevant messaging across all channels
36 Washington Street
Wellesley Hills, MA
02481
United States
+1 781-725 0250
www.redpoint.net
2017 Buyer’s Guide
25 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
25
Data Management
anagement Relay42
Relay42 is an enterprise Data Management Platform (DMP), recognized by
the likes of Google, McKinsey and Deloitte for its ability to personalize
marketing at scale. By integrating every customer channel advertisers can
deliver accurate, relevant customer journeys beyond business silos.
From the Company
“Relay42 offers the next generation Data Management Platform (DMP), with a strong focus on top enterprises in
finance, travel, telco, utilities and retail. The Relay42 plug-and-play DMP is agnostic by design, delivering on
technology’s promise of data-driven personalization at scale, without ever disrupting existing IT infrastructures, or
compromising on security and compliance. Relay42 enables marketers to choose their best-of-breed marketing tech
stack. Generating more wins, reducing waste and sharpening the competitive edge for world class brands such as
Air France, ING, ABN AMRO, TNT and KLM.”
Key Features
Plug-and-Play – Eliminate the risk of disrupting or overhauling existing business infrastructure.
Agile Integrations – 150+ existing technical integrations alongside plug-and-play capabilities, enterprises can start
fast and retain control of their varied MarTech stack, delivering quick results.
Fully Configurable – With a proven 99.5% match rate, Relay42’s identity management is accurate, flexible and
reliable.
Advanced Artificial Intelligence – Advanced and comprehensive artificial intelligence technology allows marketers
to optimize campaigns.
Bottom Line
Relay42 is a fully vendor agnostic, plug-and-play Data Management Platform. It integrates with any channels
enterprises have tested and chosen to be the best fit for them. This means that any chosen martech and adtech
tools – now and in the future- can be optimized, maximizing their performance in conjunction with the broader
marketing ecosystem.
180 Oxford Street
London W1D 1NN
United Kingdom
+44 020 369 505 83
www.relay42.com
2017 Buyer’s Guide
26 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
26
Data Management
anagement Amazon Redshift
Amazon Redshift is a fully managed, petabyte-scale data warehouse that
analyzes data using existing business intelligence tools. Amazon Redshift’s
data warehouse architecture allows users to automate most of the common
administrative tasks associated with provisioning, configuring and monitoring
a cloud data warehouse. Backups to Amazon S3 are continuous, incremental
and automatic. The ability to provision huge databases as needed, without
going through a costly and slow procurement process to obtain the hardware
and software and the ability to scale to handle huge databases, perhaps well
beyond the petabyte range.
From the Company
“The architecture of Amazon Redshift enables automation of many common administrative tasks, including
provisioning, configuring and monitoring a data warehouse in the cloud. Data backup to Amazon Simple Storage
Service (S3) is continuous, incremental and automatic. Data recovery from S3 is easy, with disaster recovery across
regions.”
Key Features
Optimized for Data Warehousing – Amazon Redshift uses a variety of innovations to obtain very high query
performance on datasets ranging in size from a hundred gigabytes to a petabyte or more. It uses columnar
storage, data compression, and zone maps to reduce the amount of I/O needed to perform queries.
Scalable – With a few clicks of the AWS Management Console or a simple API call, you can easily change the
number or type of nodes in your cloud data warehouse as your performance or capacity needs change. Dense
Storage (DS) nodes allow you to create very large data warehouses using hard disk drives (HDDs).
No Up-Front Costs – You pay only for the resources you provision. You can choose On-Demand pricing with no up-
front costs or long-term commitments, or obtain significantly discounted rates with Reserved Instance pricing.
Bottom Line
Amazon Redshift is integrated with other AWS services and has built in commands to load data in parallel to each
node from Amazon S3, Amazon DynamoDB or your EC2 and on-premise servers using SSH. AWS Data
Pipeline, Amazon Kinesis, and AWS Lambda integrate with Amazon Redshift as a data target. You can also
load streaming data into Amazon Redshift using Amazon Kinesis Firehose.
1200 12th Avenue
Seattle, WA 98144
United States
+1 206-266-4064
aws.amazon.com
2017 Buyer’s Guide
27 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
27
Data Management
anagement RiverSand
A major benefit of RiverSand’s Solution suite is its integration – all of its
modules have been developed using the same interface, data model and
application framework. This offers clients a level of cohesion as they
implement flexible business processes within the Solution suite. For
instance, RiverSand’s Data Quality, Digital Asset Management, and Dynamic
Publishing functionality are all integrated with its MDM solution to increase
productivity throughout a retailer’s catalog production process.
From the Company
“Master Data is the critical information about customers, products, suppliers or similar categories. It is the
foundational information used throughout an organization to establish workflow and make key business decisions.
When Master Data is correct, consistent and up-to-date across an enterprise, management can achieve a holistic
view of its internal operations, partner interactions and customer behaviors. This 360 view provides a "Single Source
of Truth" creating increased efficiencies that result in higher profit margins.”
Key Features
Centralized – Access accurate and reliable data from one central repository. This gives users across the company
a single point of reference when they need to look up data- eliminating any mismatched data being used by the
different departments within the company.
Comprehensive – Data is presented in a structured and organized way and linked to transaction systems data
using ODS, making it easier for management to identify potential areas for improvement, and opportunities that
can be leveraged by the business to improve efficiencies or increase profitability
Bottom Line
RiverSand's Enterprise MDM Solution enables enterprises to centralize all processes relating to Master Data. The
solution can manage all CRUD (Create, Read, Update and Delete) workflows from a single data repository. Bridge
related data across multiple domains to provide accurate data globally, ensuring continued success while offering
a competitive advantage.
2929 Briarpark Drive
Houston, TX 77042
United States
+1 713-934-8899
www.riversand.com
2017 Buyer’s Guide
28 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
28
Data Management
anagement SAP
SAP SE is a multinational software company. The Company develops
business software, including e-business and enterprise management
software, consults on organizational usage of its applications software, and
provides training services. SAP markets its products and services
worldwide. Database solutions allow businesses to create, distribute, and
maintain complete, accurate master data with SAP’s master data
management software.
From the Company
“SAP offers both SAP IQ and SAP Hana. SAP IQ, the first column-store DBMS, is available as a stand-alone DBMS.
SAP Hana is an in-memory column store that supports operational and analytical use cases; it is also offered as an
appliance, a cloud solution (SAP Hana Cloud Platform) and a reference architecture (SAP Hana tailored data center
integration [TDI]). SAP also delivers SAP Business Warehouse (BW) on Hana.”
Key Features
Comprehensive – Consolidate master data from heterogeneous sources into a centralized repository
Maintain – Cleanse, normalize, and enrich master data through integration with SAP Data Services
Efficient – Improve business process efficiency by delivering reliable master data to operational system
Support – Data governance through integration with SAP business process management software
Bottom Line
The SAP HANA platform offers cloud, on-premises and hybrid deployment options to customers, with its benefits
including a smaller data footprint, higher throughput, faster analytics and faster access to data.
Dietmar-Hopp-Allee 16
69190 Walldorf
Germany
+49 (0)6227 / 7-47474
www.sap.com
2017 Buyer’s Guide
29 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
29
Data Management
anagement SAS Institute
Headquartered in North Carolina, SAS Institute started as a project at North
Carolina State University to create a statistical analysis system (hence the
proper name, Statistical Analysis System) that was originally used primarily by
agricultural departments at universities in the late 1960s. SAS Data
Management is an industry-leading solution built on a data quality platform
that helps you improve, integrate and govern your data. The company
provides software applications including business intelligence, data
integration, fraud management, financial intelligence, and IT management.
From the Company
“Spreadsheets, emails, reports, customer information, vendor records, operational events and other types of data
can too easily become background noise. Add to that the complexity of an IT environment with emerging data
sources like Hadoop colliding with traditional data sources, like Oracle or Microsoft SQL Server. Your data challenges
of the past just got trickier. SAS Data Management helps you make sense of this, turning big data into big value. You
get data access, data quality, data integration and data governance all from a single platform. Now you can spend
less time maintaining your information – and more time running your business.”
Key Features
Centralized Storage – Management and reuse helps you keep data updated and ready for action. Build, document
and collaborate on work and bring new team members up to speed, without a significant learning curve.
Govern and Secure Data – Secured authorization and auditing tools add security to your data management
program, reducing risk exposure.
Work Faster – Use grid-enabled load balancing and multithreaded parallel processing to rapidly transform and
move data, or update with SQL pass-through for popular MPP databases.
Bottom Line
SAS Data Management enables your business users to update data, tweak processes and analyze results
themselves, freeing you up for other projects. Additional services offer a built-in business glossary as well as SAS
and third-party metadata management and lineage visualization capabilities keep everyone on the same page.
100 SAS Campus Drive Cary, NC 27513
United States
+ 1 919-677-8000
www.sas.com
2017 Buyer’s Guide
30 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
30
Data Management
anagement Snowflake Computing
Snowflake created a data warehouse that brings big data together data and
makes it available to all of the users and systems that need to analyze it.
With a reinvented data warehouse, Snowflake’s solutions address today’s
data and analytics issues by offering a data warehouse that is flexible,
scalable, and easy to use. Headquartered in San Mateo, California,
Snowflake Computing is delivering a data warehouse designed from the
ground up for the cloud and for today's data needs.
From the Company
“We are a team of data professionals changing how people use data. Our mission: to safely store, transform and
analyze business data, making it easy for everyone to quickly gain insight. Founded with a vision to reinvent the data
warehouse for big data, we built a completely new SQL data warehouse designed for the cloud and for today’s
needs.”
Key Features
New Architecture – Rather than starting with an existing architecture and software package, Snowflake designed
and implemented its new, unique architecture.
Design for the Cloud – On-premise solutions are complex and can be expensive. Snowflake developed service from
the ground up for the cloud, building on Amazon Web Services.
Deliver a True Service – Focus on data, not on configuration, tuning, and administration. Snowflake’s products
deliver traditional software hosted in the cloud: data warehousing as a service.
Bottom Line
Snowflake Elastic Data Warehouse focuses on scalability, offering “multidimensional elasticity” with the ability to
expand and contract easily to support any scale of data, workloads, and users.
101 S. Ellsworth Avenue
San Mateo, CA 94401
United States
+1 844-766-9355
www.snowflake.net
2017 Buyer’s Guide
31 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
31
Data Management
anagement Stibo Systems
What originally began as a printing company in 1794, The Stibo Group now
provides information management and print technology software for
businesses. Stibo System’s Data Management platform comes with data
quality capabilities designed to handle data profiling, data matching and
enrichment with external reference data and it also includes a user-friendly
interfaces for implementing business rules, checks and controls, including a
graphical interface for verification of uncertain de-duplication and matching
with external sources.
From the Company
“Master Data Management is a combination of processes, governance, policies, standards and tools that work
together to provide a single point of reference. Master data continually defines and manages critical data such as
products, customers, suppliers, assets and their location across the enterprise.
Master Data Management provides consistency and control in maintaining and using information to ensure that an
organization does not use inconsistent versions of the same data in different parts of its business.”
Key Features
Data Quality – Business systems rely on complete, accurate and consistent data to drive high levels of
operational performance, sales conversion and customer service.
Data Governance – Stibo’s data governance capabilities combines data quality, data management and data
policies to business process and risk management while handling and organizing data.
Standards Compliant – As a certified 1WorldSync solution partner, Stibo Systems builds and manages this
connection to provide organizations with a certified resource of standards-compliant services.
Bottom Line
Stibo System’s Data Management solutions help companies manage the quality of their data through de-
duplication, classification, identification, reconciliation and more. Having a central repository for all product-related
information gives organizations a single version of truth for their product master data, delivering significant
operational efficiencies and improving business performance.
Axel Kiers Vej 11
DK-8270 Højbjerg
Denmark
+45 89 39 11 11
www.stibosystems.com
2017 Buyer’s Guide
32 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
32
Data Management
anagement Talend
Talend Studio, headquartered in Redwood City California, Talend’s Data
management solutions offers graphical drag-and-drop tools, speed design,
test creation, and generation of code in many languages. Talends solution
allows businesses to easily manage and monitor projects from simple, one-
time ETL projects to complex, ongoing data synchronization projects
requiring thousands of jobs.
From the Company
“Talend Data Quality offers a complete solution to profile, cleanse, anonymize and mask data, while monitoring data
quality over time regardless of format or size. Through data de-duplication, validation, standardization and
enrichment you create clean and high-quality data for access, reporting and analytics. Integrate external reference
data sources for postal validation, business identification, credit score information, and more.”
Key Features
Collaborate Effectively – Enable teams of developers to collaborate better and continuously deliver new
functionality reliably using Team Repository feature.
Manage Easily – Centralize deployment and manage more through a web-based Administration Console.
Scale Quickly – Scale up with a high availability environment, virtual servers, and advanced clustering.
Bottom Line
Talend offers data integration in an open and scalable architecture to maximize its value to your business. As
part of the Talend Data management service offering, users are able to access unified tools to integrate, cleanse,
mask and profile all of data.
800 Bridge Parkway Redwood City, CA
94065 United States
+1 650-539 3200 www.talend.com
2017 Buyer’s Guide
33 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
33
Data Management
anagement Teradata
Teradata operates out of Dayton Ohio and offers a diverse selection of
products to help businesses manage data. Teradata offers a data
management platform to deliver high performance, diverse queries, in-
database analytics and sophisticated workload management. Its database
supports and is compatible with enables all of Teradata’s Data Warehouse
solutions.
From the Company
“For 35 years, Teradata has led the industry in building superior enterprise data warehousing solutions and bringing
improved management agility to organizations. Built from the ground up to be mission critical and highly
responsive, Teradata’s Integrated Data Warehouses are what the world’s largest and most competitive
organizations use for actionable insights and decision based analytics.”
Key Features
Security – The Teradata Database and Teradata Platform Family support a rich set of information security
controls for managing, protecting and auditing access to stored data.
Input and Extraction – Tools and Utilities help integrate the Teradata system into an enterprise and streamline
data warehouse management tasks such as moving massive volumes of data, and accessing multiple data
sources in parallel, while taking crucial steps toward improving your overall Teradata system performance.
Cloud Solutions – Large organizations that want sophisticated business intelligence but do not want to operate a
data center will find the Teradata Cloud Solution ideal.
Bottom Line
Teradata’s DM products provide solutions and services in data warehousing, big data and analytics, and
marketing applications that enable the realization of a data-driven business. In early 2015, the company formed
two divisions: Data & Analytics for its data analytics platforms and related services and Marketing Applications
for its marketing software and related services.
10000 Innovation Drive
Dayton, OH 45342
United States
+1 866-548-8348
www.teradata.com
2017 Buyer’s Guide
34 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
34
Data Management
anagement Zaloni
Zaloni’s data management product operates on-top of Hadoop, with an
enterprise-grade solution: Bedrock. Bedrock is a data lake management
platform that provides visibility, governance, and reliability to a business’s
data. By simplifying and automating common data management tasks, users
can focus time and resources on building insights and analytics. Bedrock is
compatible with all major Hadoop distributions, most data processing
engines, and applicable to on-premise, cloud-based, or hybrid deployment
models.
From the Company
“Zaloni, the data lake company, is an award-winning provider of enterprise data lake management solutions. Our
software, Bedrock and Mica, enable customers to gain competitive advantage through organized, actionable big
data lakes. Serving the Fortune 500, Zaloni has helped its customers build production implementations at many of
the world’s leading companies.”
Key Features
Process Large Amounts of Data – Bedrock makes it easy to ingest data into the data lake, and all transactions are
defined in advance, tracked and logged and the process is automatable and scalable.
Improve Data Visibility and Reliability – Easily organize and manage data, regardless of volume. It captures
operational, technical, and business metadata so that consumers can search, browse, and find the data they need
for analytics.
Protect Sensitive Data – Data lakes enable multiple groups to share access to centrally stored data. But users
have differing permissions to view information, providing masking and tokenization of data.
Bottom Line
Zaloni Bedrock is a Hadoop-based data management platform that integrates data ingestion, organization, and
preparation and since it was built for hadoop, the need for multiple tools is eliminated. The solution delivers a
scalable, manageable, cost effective, and rapidly deployable platform for building and managing a Hadoop Data
Lake.
633 Davis Drive
Durham, NC 27713
United States
+1 919-323-4050
www.zaloni.com
2017 Buyer’s Guide
35 © 2017 | Solutions Review | 500 West Cummings Park | Woburn, Massachusetts 01801 | USA
35
Data Management
anagement
About Solutions Review
Solutions Review is a collection of technology news sites that aggregates, curates and creates the best content
within leading technology categories. Solutions Review mission is connect buyers of enterprise technology with
the best solution sellers.
Over the past three years, Solutions Review has launched ten tech Buyer's Guide sites in categories ranging from
Cybersecurity to Wireless 802.11ac as well as Mobility Management and Business Intelligence, Data Analytics,
Data Integration and Cloud Platforms.
Information for this report was gathered via a meta-analysis of available online materials and reports, conversations with vendor
representatives, and examinations of product demonstrations and free trials. Solutions Review does not endorse any vendor, product or
service depicted in this publication and does not advise technology users to base their vendor selection entirely on this research. Solutions
Review disclaims all warranties, expressed or implied, regarding this research, including any warranties of merchantability or fitness for a
particular purpose.