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2Pivotal Confidential–Internal Use Only 2Pivotal Confidential–Internal Use Only
The Pivotal Big Data Suite
4Pivotal Confidential–Internal Use Only
How Pivotal Accelerates Value Creation
70% of data generated by
customers
80% of data being stored
3% being prepared for
analysis
0.5% being analyzed
<0.5% being operationalized
First Movers
Smart Enterprises
~20X $2.9B
~30X$4B
~7X $290B
~20X $120B
Average Enterprises
SOLVE THE BIG DATA UTILITY GAP
5Pivotal Confidential–Internal Use Only
The Journey to Technology Leadership
COLLECT
Business Data Lake
Store everything
ANALYZE
Big Data Analytics
Generate Insights
DEVELOP
Data-Driven Applications
Operationalize
INNOVATE
AgileEnterprise
Iterate Rapidly
PDL Data Science
Pivotal Labs Agile
Pivotal CF Services
PDL Data Architecture
Agile Development
Big Data
Predictive Analytics
Enterprise PaaS
6Pivotal Confidential–Internal Use Only
Data Driven: Harder than it Sounds
Operationalize
Ingest
Distill
Interface
Process
Analytical Transactional
Operationalize
Ingest
Distill
Interface
Process
Analytical Transactional
Operationalize
Ingest
Distill
Interface
Process
Analytical Transactional
Real Time Near Real Time Batch
Predictive Call Routing, Fraud Prediction, Dynamic Pricing,
Re-Marketing, Stream Analytics
Analytic Model Designs, Transaction Analysis, Trend Analysis
ETL, Archive, Trending, Monthly and Weekly Jobs
7Pivotal Confidential–Internal Use Only
Data Driven: Impossible in Silos
Finance Manufacturing Marketing IT
Data Growth Over 60%Floods These Silos
8Pivotal Confidential–Internal Use Only
Pivotal Business Data Lake Architecture
Centralized Management
System monitoring System management
Unified Data Management TierData mgmt.
servicesMDMRDM
Audit and policy mgmt.
Processing Tier
Workflow Management
Distillation Tier
HDFS storageUnstructured and structured data
In-memory
MPP database
Unified Sources Flexible Actions
Real-timeingestion
Micro batchingestion
Batch ingestion
Real-time insights
Interactive insights
Batch insights
9Pivotal Confidential–Internal Use Only
The Scenario Yesterday…
Application Type
Database
Hadoop Distributed File System
Parallel Query Engine
In-Memory Data Grid for Hadoop
In-Memory Data Grid with SQL Layer
In-Memory Data Grid
Pricing MetricPivotal Component
Data storage: tiered terabytes
Nodes
Nodes
CPU
CPUs and Add Ons with restrictions
CPUs and Add Onswith restrictions
1
3
4
2
5
6
?Greenplum DB
Pivotal HD
HAWQ
GemFire XD
SQLFire
GemFire
10Pivotal Confidential–Internal Use Only
1The Scenario Today…
Application Type
Greenplum DBDatabase
Pivotal HDHadoop Distributed File System
HAWQParallel Query Engine
In-Memory Data Grid for Hadoop
SQLFireIn-Memory Data Grid with SQL Layer
GemFireIn-Memory Data Grid
Pricing Metric:Pivotal Component
SKU
1
3
4
2
5
6
Unit of Measure
PriceGemFire XD
11Pivotal Confidential–Internal Use Only
World’s Leading ExpertsPivotal Labs – Pivotal Data Labs
BATCH BATCH
INTERACTIVE INTERACTIVEHAWQGreenplum DB
Unlimited Pivotal HD
REAL-TIME REAL-TIMEGemFire XDGemFire | SQLFire
12Pivotal Confidential–Internal Use Only
Customer Centric Model
UNLIMITED PIVOTAL HD INCLUDED
SoftwareOnly
Core Based
SubscriptionBased
FlexibleLicensing
CustomerIncentives
13Pivotal Confidential–Internal Use Only
How Does this Work in Practice?
• Use insights to iteratively improve your product
Build the Right Thing
• Cleanse, organize, and manage your data lake
• Make the right tools available
• Use the resources wisely to compute, analyze, and understand data
• Obsessively collectdata
• Keep it forever
• Put the data in one place
Analyze Anything
Store Everything