Post on 23-May-2020
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CORPORATE OVERVIEWSeptember 2019
© 2019 Cloudera, Inc. All rights reserved. 2
SAFE HARBOR STATEMENTStatements in this press release that are not historical in nature are forward-looking statements that, within the meaning of the federal securities laws including the safe harbor provisions of the Private Securities
Litigation Reform Act of 1995, involve known and unknown risks and uncertainties. Words such as "may", "will", "expect", "intend", "plan", "believe", "seek", "could", "estimate", "judgment", "targeting", "should",
"anticipate", "goal" and variations of these words and similar expressions, are also intended to identify forward-looking statements. The forward-looking statements in this press release address a variety of
subjects, including statements about our short-term and long-term goals and targets, including expectations regarding the acceptance by our enterprise customers of enterprise data cloud and the Cloudera Data
Platform, and our “Business Outlook” for our third quarter of fiscal 2020 and our full year fiscal 2020 operating results. Readers are cautioned that actual results could differ materially from those implied by such
forward-looking statements due to a variety of factors, including global economic conditions, competitive pressures and pricing declines, intellectual property infringement claims, and other risks or uncertainties
that are described under the caption “Risk Factors” in our Quarterly Report on Form 10-Q filed with the Securities and Exchange Commission (SEC), and in our other SEC filings. You can obtain copies of the
company’s SEC filings on the SEC’s website at www.sec.gov. Although we believe the expectations reflected in such forward-looking statements are based upon reasonable assumptions, we can give no
assurances that our expectations will be attained. We undertake no obligation to update or revise any forward-looking statements, whether as a result of new information, future events or otherwise.
We report all financial information required in accordance with U.S. generally accepted accounting principles (GAAP). To supplement our unaudited condensed consolidated financial statements presented in
accordance with GAAP, we use certain non-GAAP measures of financial performance. The presentation of these non-GAAP financial measures is not intended to be considered in isolation from, as a substitute
for, or superior to, the financial information prepared and presented in accordance with GAAP, and may be different from non-GAAP financial measures used by other companies. In addition, these non-GAAP
measures have limitations in that they do not reflect all of the amounts associated with the results of our operations as determined in accordance with GAAP.
We believe that these non-GAAP financial measures, when taken together with the corresponding GAAP financial measures, provide meaningful supplemental information regarding our performance by excluding
certain items that may not be indicative of our core business, operating results or future outlook. Management uses, and believes that investors benefit from referring to, these non-GAAP financial measures in
assessing our operating results, as well as when planning, forecasting and analyzing future periods. We use these non-GAAP financial measures in conjunction with traditional GAAP measures to communicate
with our board of directors concerning our financial performance. These non-GAAP financial measures also facilitate comparisons of our performance to prior periods.
Annualized Recurring Revenue (“ARR”) is a performance metric, which we use to assess the health and trajectory of our business. ARR equals the annualized value of all recurring subscription contracts with
active entitlements as of the end of the period, including pre-merger Hortonworks contracts. ARR does not reflect non-recurring partner revenue, subscription revenue with certain related parties, custom
engineering and premium add-on support.
Please see the slides entitled GAAP to Non-GAAP Reconciliation at the end of this presentation for a reconciliation of each of these measures to the most directly comparable GAAP financial measure. This
reconciliation can also be found in the earnings press release issued September 4, 2019, which is available on www.cloudera.com or on the “Investor Relations” section of our website.
Unless otherwise noted, the information in this presentation is as of July 31, 2019.
Cloudera and associated marks are trademarks or registered trademarks of Cloudera, Inc. All other company and product names may be trademarks of their respective owners.
© 2019 Cloudera, Inc. All rights reserved. 3
INVESTMENT HIGHLIGHTS
• The enterprise data cloud company
• Large addressable market – big data,
Streaming, IoT, Data Warehouse, ML/AI
• Innovation driving substantial competitive
advantage and extending category
leadership
• Vast and growing ecosystem of solution
and service provider partners
• Strong growth and operating cash flow
Customers
$100K+ software ARR
recurring
Q2’FY20 subscription software revenue
gross margin
Q2’FY20 subscription software gross margin
Q2’FY20 ARR
16% Annualized Recurring Revenue (ARR) Y/Y growth
Notes:
1. Annualized value of all recurring subscription contracts with active entitlements as of the end of the period, including
pre-merger Hortonworks contract. ARR excludes non-recurring partner revenue, subscription revenue with certain
related parties, custom engineering and premium add-on support.
2. Q2’FY19 to Q1’FY20: 862, 904, 943, 929
© 2019 Cloudera, Inc. All rights reserved. 4
OPPORTUNITY
“AI, IoT and Augmented
Reality are about to
reinvent how industries
utilize data—and could
drive an era of
productivity growth in our
cities, farms, factories
and hospitals.”
Morgan Stanley Research
ORGANIZATIONS STRUGGLE TO
REACH DATA MATURITY
Gartner
REALITY
© 2019 Cloudera, Inc. All rights reserved. 5
THE ENTERPRISE DATA CLOUD COMPANY
We believe that datacan make what is impossible today, possible tomorrow
We empower peopleto transform complex data into clear and actionable insights
We deliver an enterprise data cloud
for any data, anywhere, from the Edge to AI
© 2019 Cloudera, Inc. All rights reserved. 6
AN ENTERPRISE DATA CLOUD IS DIFFERENT THAN ANYTHING ENTERPRISES HAVE EVER EXPERIENCED
MULTI-FUNCTION
ANALYTICS
Integrates data
management and analytic
experiences from the
Edge to AI
for data anywhere
HYBRID &
MULTI-CLOUD
Operates across all
major public clouds
and the private cloud
with a public cloud
experience everywhere
SECURE &
GOVERNED
Meets enterprise security,
compliance, migration and
metadata management
needs across all
environments
OPEN
PLATFORM
Open source, open
integrations, extensible,
open to multiple data
stores (S3, ADLS) &
compute architectures
© 2019 Cloudera, Inc. All rights reserved. 7
WE EMPOWER PEOPLE TO TRANSFORM COMPLEX DATA INTO CLEAR AND ACTIONABLE INSIGHTS
CONNECT BUSINESS (IoT)GROW BUSINESS PROTECT BUSINESS
Marketing automation
Personalized &
relevancy marketing
Customer experience
Churn prevention
Customer retention
Predictive
maintenance
Connected vehicles
Smart cities
Healthcare analytics
Industrial IoT
Regulatory compliance
Risk modeling & analysis
Financial crime
prevention
Fraud detection
Cybersecurity
© 2019 Cloudera, Inc. All rights reserved. 8
POWERING DATA-DRIVEN CUSTOMERS
Making decisions 20x faster saves
patients’ lives through early detection
GROW CONNECT PROTECT
Doubling equipment utilization through
IoT and machine learning
Applying predictive analytics to retain
human capital & monetize data
© 2019 Cloudera, Inc. All rights reserved. 9
KEY INDUSTRY VERTICALS & USE CASES
BANKING
• Fraud detection
• Anti-money
laundering
• Spend analytics
• Barclays
• Bank of America
• Citi
HEALTHCARE /
PHARMA
• Patient care (IoT)
• Genomics research
• Regulatory
compliance
• GlaxoSmithKline
• Symphony Health
• Sharp Healthcare
TECHNOLOGY
• Customer
analytics
• Threat detection
• Predictive support
• Cisco
• Intel
• NetApp
TELCO
• Churn analysis
• Customer care
• Network
optimization
• Comcast
• British Telecom
• Bharti Airtel
MANUFACTURING
• Predictive
maintenance (IoT)
• Supply chain
optimization
• Remote monitoring
• Navistar
• Faurecia
• Sikorsky
USE
CASES
CUSTOMERS
© 2019 Cloudera, Inc. All rights reserved. 10
TOP GLOBAL
TOP GLOBAL
TOP GLOBAL
GOVERNMENT CUSTOMERS
TOP GLOBAL
TOP GLOBAL
ADOPTION DRIVEN BY LARGE ENTERPRISES
BANKING TELCO PHARMAPUBLIC TECHNOLOGYAUTOMOTIVE
© 2019 Cloudera, Inc. All rights reserved. 11
MARKET DEVELOPMENT & PHASES OF GROWTH
BIG DATA
TECH
DATA
PLATFORM
CIO
& Data Admins
ML, ANALYTICS
& CLOUD
LOB
& Data ScientistsIT early
adopters &
Developers
ENTERPRISE DATA CLOUDDigital Transformation
C-suite &
Boards
© 2019 Cloudera, Inc. All rights reserved. 12
MAJOR ARCHITECTURE & TECHNOLOGY SHIFTS UNDERWAY
Easy to use,
self-service, on-
demand, elastic,
consumption
Adoption as standard
operating environment
for flexibility and agility
Multi-function
analytics for the
data-driven enterprise
Separation in public
and private clouds for
increased performance
CLOUD
EXPERIENCE
COMPUTE
& STORAGE
KUBERNETES
& CONTAINERS
STREAMING
& ML/AI
© 2019 Cloudera, Inc. All rights reserved. 13
ENTERPRISE DATA CLOUD ARCHITECTURE
• Multi-function analytics
• Hybrid and multi-cloud
• Secure and governed
• Open platform IOT, INGEST &
STREAMING
DATA
WAREHOUSING
SECURITY & GOVERNANCE
ML / AI
DATA SCIENCE
PUBLIC CLOUDS
compute & storage
DATACENTER
compute & storage
© 2019 Cloudera, Inc. All rights reserved. 14
CLOUDERA DATA PLATFORM
• Hybrid & multi-cloud
• Shared data experience
• Analytics from Edge to AI
• Powered by open source
• Single pane of glass
Deliver secure, powerful data management and analytic experiences to diverse sets of
users – BI analysts, data scientists & developers – faster, safer and more cost effectively
© 2019 Cloudera, Inc. All rights reserved. 15
CLOUDERA DATA PLATFORM
Machine learning and analytics for any data, anywhere, from the Edge to AI
EXPERIENCES
• 5 analytic
workloads
• Containerized
services
• Easy, self-service
consumption
• Faster expansions
OPEN SOURCE
• Complete, familiar
open source
software
• For IT & complex
requirements
• Flexibility, control
and customization
• Protects renewals
SDX
• One model for
security, governance
& metadata
• Different users and
workloads work on
same data
• Key for de-coupled
compute & storage
MULTI & HYBRID
• 2 public clouds,
private and hybrid
• Support the clouds
customers want
• Workload portability
• Expands market
CONTROL PLANE
• Single-pane of
glass
• View and manage
across public and
private cloud
• Manage upgrades
from current HDP
and CDH platforms
© 2019 Cloudera, Inc. All rights reserved. 16
CLOUDERA DATA PLATFORM
Public cloud , private cloud, hybrid and CDH/HDP expansions
DW MLODDEDFEdge to AI
CDP – AWS, Azure, GCP
Storage ComputePublic
Multi-Cloud
CDP – Private Cloud
Datacenter
Storage
Container
CloudPrivate
CDP – Data Center
Storage &
Compute
SDX – security, governance & metadata
Control plane & Management console
Cloudera Runtime (distribution)
DH DW MLODDEDFEdge to AI DHEdge to AI DE | DW | OD | ML
© 2019 Cloudera, Inc. All rights reserved. 17
CLOUDERA SHARED DATA EXPERIENCE
Common security, governance and metadata management from the Edge to AI
• Security: protects sensitive data with consistent controls for both
transient and recurring workloads
• Governance: enables safe self-service access to all relevant data and
increases compliance
• Catalog: defines and preserves structure and business context of data
for new applications and partner solutions
• Data lifecycle: aggregates a single copy of all data, provides disaster
recovery and data migration services
• Simplifies the development and deployment of multi-function
applications in the cloud without sacrificing centralized security,
governance, and metadata management traditionally associated with
on-premises deployments
© 2019 Cloudera, Inc. All rights reserved. 18
WE DELIVER AN ENTERPRISE DATA CLOUD FOR ANY DATA ANYWHERE, FROM THE EDGE TO AI
Enterprise grade
Secure, performant and compliant
Scalable
Elastic, cost-effective and lower TCO
Runs anywhere
Public cloud, on-premises, multi, hybrid
© 2019 Cloudera, Inc. All rights reserved. 19
CLOUDERA DATAFLOW
A real-time streaming data platform to collect, curate and analyze data-in-motion
• Continuous data ingestion, transformation and routing from any
streaming source or IoT device using 250+ pre-built processors
• Edge data collection, processing and content routing of sensor
data from edge and IoT devices
• Real-time stream processing and content syndication for massive
IoT infrastructures supporting millions of messages per second
• Simplifies building streaming apps and analytics from the edge to
the enterprise data warehouse
• Deliver actionable insights with pattern matching and complex
event processing from real-time streams
© 2019 Cloudera, Inc. All rights reserved. 20
CLOUDERA DATA WAREHOUSE
Data warehouse with a scale-up architecture that handles 50PB
• Bring the warehouse to the data with zero copy simplicity
• Use your security policies with your data - no proprietary stacks
• Apply enterprise governance to transient workloads
• Shared Data Experience (SDX) for analytic, ML & real-time
workloads
• Ultimate hybrid choice - storage, compute & control
• Optimized for Azure & AWS
© 2019 Cloudera, Inc. All rights reserved. 21
WHY IS DATA-DRIVEN SO DIFFICULT?
Data-driven means getting Machine Learning & AI into production
AI
MACHINE LEARNING
DATA SCIENCE
ANALYTICS
"BIG DATA"
DATA SCIENCE & MACHINE
LEARNING HIERARCHY OF NEEDS
• ML cannot be done without data science
• Data science cannot be done without
analytics
• Analytics cannot be done without Big Data
• They are all dependent on each other,
and must operate on the same platform
© 2019 Cloudera, Inc. All rights reserved. 22
MACHINE LEARNING FOR THE ENTERPRISE
• Open platform
• Open algorithms
• Team collaboration
• Enterprise ready
• Runs anywhere
DATA SCIENCE WORKBENCH
CLOUD ON-PREMISES
SPARK | IMPALA |
GPUs | CPUs
ADLSS3 HDFSSTORAGE
COMPUTE
ALGORITHMS
OPEN SOURCE &
VENDOR
ECOSYSTEMEXPLORATORY
ANALYSIS
SOLUTIONS | USE CASES | UXDATA APPS
KUDU
DATA SCIENCE WORKBENCHPRODUCTION
© 2019 Cloudera, Inc. All rights reserved. 23
HOW CLOUDERA HELPS CUSTOMERS INDUSTRIALIZE AIDeliver the platform to accelerate AI development at scale, anywhere
Manage pipelines + modelsDeploy models
Automate pipelines
Monitor performance
DEPLOYDEVELOPMake teams more productive
Explore data
Develop reports, pipelines, models
Collaborate with peers
TRAINScale resources efficiently
Train models
Tune parameters
Track performance
MANAGERun anywhere with a common architecture
Manage access and resources
Scale cost with usage
© 2019 Cloudera, Inc. All rights reserved. 24
PARTNER ECOSYSTEM
• Strategic partnerships for
expanded reach, integrated
solutions and richer technical
and industry expertise
ISVs & SOLUTIONS
CLOUD & PLATFORM
SYSTEM
INTEGRATORSRESELLERS
© 2019 Cloudera, Inc. All rights reserved. 25
BENEFITTING FROM MULTIPLE GROWTH VECTORS
© 2019 Cloudera, Inc. All rights reserved. 26
CLOUDERA LEADERSHIP TEAM
Hilary MasonGM Machine Learning
Vikram MakhijaGM Data-in-Motion
THANK YOU
© 2019 Cloudera, Inc. All rights reserved. 28
GAAP TO NON-GAAP RECONCILIATION
Three Months Ended – Jul 31, 2019