Upload
others
View
1
Download
0
Embed Size (px)
Citation preview
1© Cloudera, Inc. All rights reserved.
Corporate Overview
December 2017
2© Cloudera, Inc. All rights reserved.
Safe Harbor StatementStatements in this presentation 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 presentation address a variety of subjects, including our belief that
the enterprise machine learning and analytics market will quickly emerge and that we will continue to lead its direction through technology and product innovation, our expectation that we will continue our momentum in
machine learning, analytics and the cloud, and our “Progress Towards Our Long Term Model”. 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 Prospectus filed pursuant to Rule 424(b) filed with the Securities and Exchange Commission, or the SEC, on September 28, 2017 , our most recently filed Quarterly Report on Form 10-Q and in our other
SEC filings. 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.
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 release dated December 7, 2017, which is available on www.cloudera.com or on the “Investor Relations” section of our website.
We periodically update the Global 8000 list based on the FORBES Global 2000 list and information from Data.com, using the most recently published FORBES Global 2000 list (which is updated by Forbes annually) and
the most recent Data.com information (which is continuously updated by Data.com). Our customer count is subject to ongoing adjustment and, when adjustments occur, previously disclosed numbers of customers are
updated to allow for comparability.
Unless otherwise noted, the information in this presentation is as of October 31, 2017.
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.
3© Cloudera, Inc. All rights reserved.
1. Represents total revenue as of FQ3’18
2. FQ3’17: 513, FQ4’17: 566, FQ1’18: 595, FQ2’18: 643
3. Please see footnote on page 25
666 135%Global 8000 customers net expansion
Across all industry verticals
Driven by data and new use cases
$337MTTM revenue
51% TTM subscription
revenue growth
83%recurring software
Subscription software revenue
(3)
Investment highlights
• The modern platform for machine learning
and analytics optimized for the cloud
• Large addressable market – big data,
cloud, IoT, ML
• Innovation driving substantial competitive
advantage and extending category
leadership
• Vast and growing ecosystem of solution
and service provider partners
• Rapid growth with powerful land and
expand economics
(1)
(2)
4© Cloudera, Inc. All rights reserved.
The data economy
<1%of unstructured data
is analyzed or used at all
The data-driven enterprise
30Bconnected
devices
440x more data
(2)
An untapped opportunity
(1)
<50%of structured data is actively used in making decisions
1. IDC estimates that there will be 30B IoT and connected devices in 2020
2. IDC estimates that there will be 440x more data in 2020 than 2005
5© Cloudera, Inc. All rights reserved.
We deliverthe modern software platform for machine
learning and analytics optimized for the cloud
ENTERPRISE GRADE
✓ Secure
✓ Performant
✓ Compliant
SCALABLE
✓ Elastic
✓ Cost-effective
✓ Lower TCO
RUNS ANYWHERE
✓ Cloud
✓ Multi-cloud
✓ On-premises
6© Cloudera, Inc. All rights reserved.
We empower people to transform complex data
into clear and actionable insights
DRIVE
CUSTOMER INSIGHTS
CONNECT PRODUCTS &
SERVICES (IoT)
PROTECT
BUSINESS
7© Cloudera, Inc. All rights reserved.
Helping clients improve customer outreach with real-time insights
Doubling equipment utilization through IoT and machine learning
Enabling the data-driven enterprise
Improving risk prediction while maintaining compliance
Delivering greater value through improved customer understanding
Powering predictive analytics to increase performance and reduce
fleet downtime
Creating new revenue streams with an advanced anti-fraud solution
DRIVE CUSTOMER INSIGHTSCONNECT PRODUCTS & SERVICES (IoT) PROTECT BUSINESS
8© Cloudera, Inc. All rights reserved.
ADDRESSING THREE TRANSFORMATIVE MARKETS… …WHILE DISRUPTING AN EXISTING MARKET
$5B
$13B
$11B
$28B
2016 2021
21%CAGR
$45BRelational and
non-relational DBMS
$73BTAM+ =
2021 2021
Cognitive / AI
Advanced analytics
Dynamic data management
$10B
Large and growing market
Source: IDC
Note: Transformative markets represented $10.6B in 2016 and $27.7B in 2021, approximately broken down into $13.3B for Cognitive/AI Systems and Content Analytics Software, $9.7B for
Dynamic Data Management Systems, $4.7B for Advanced and Predictive Analytics Software
2021 2021
9© Cloudera, Inc. All rights reserved.
The challenge with traditional data applications
• Limited to
one data type
• Limited to
one analytic
function
• Difficult to
integrate
Data
Exploration
STORAGE
SECURITY
GOVERNANCE
WORKLOAD MGMT
INGEST & REPLICATION
DATA CATALOG
SQL & BI
Analytics
STORAGE
SECURITY
GOVERNANCE
WORKLOAD MGMT
INGEST & REPLICATION
DATA CATALOG
Operational
Real-Time DB
STORAGE
SECURITY
GOVERNANCE
WORKLOAD MGMT
INGEST & REPLICATION
DATA CATALOG
ETL & Data
Processing
STORAGE
SECURITY
GOVERNANCE
WORKLOAD MGMT
INGEST & REPLICATION
DATA CATALOG
Custom
Functions
STORAGE
SECURITY
GOVERNANCE
WORKLOAD MGMT
INGEST & REPLICATION
DATA CATALOG
10© Cloudera, Inc. All rights reserved.
Cloudera Enterprise
10
The modern platform for machine learning and analytics optimized for the cloud
EXTENSIBLE
SERVICES
CORE
SERVICES DATA
ENGINEERING
OPERATIONAL
DATABASE
ANALYTIC
DATABASE
DATA CATALOG
INGEST &
REPLICATIONSECURITY GOVERNANCE
WORKLOAD
MANAGEMENT
DATA
SCIENCE
Amazon S3 Microsoft ADLS HDFS KUDUSTORAGE
SERVICES
11© Cloudera, Inc. All rights reserved.
Machine Learning
Real-time database for fast analytics and ML
in IoT use cases
Fast, easy, and secure self-service data science
for the enterprise
Industry leading applied research in machine
learning and AI
Multi-cloud
Apache Kudu
6 major innovations this year
Powerful software framework making multi-
function data apps easier to develop, less
expensive to deploy and more secure –
on-premises and in the cloud
Shared Data Experience
Multi-Cloud PaaS for processing large-scale
data sets in AWS and Azure
Data warehouse cloud PaaS
(Beta)
12© Cloudera, Inc. All rights reserved.
8%of corporate workloads
are in the cloud(1)
12%of business analytics market in cloud
growing at 25% CAGR to 2020(2)
~20%of customers run
in the cloud
Enterprise grade | Scalable | Runs anywhere
1. Citi estimated that, in 2015, 8% of corporate workloads were in the cloud
2. IDC estimated that, in 2015, 12% of business analytics market was in the cloud growing at a 25% CAGR to 2020
Cloudera in the cloud era
13© Cloudera, Inc. All rights reserved.
Unified security – protects sensitive data with consistent
controls, even for transient and recurring workloads
Consistent governance – enables secure self-service access to
all relevant data and increases compliance
Easy workload management – increases user productivity and
boosts job predictability
Flexible ingest and replication – aggregates a single copy of all
data, provides disaster recovery, and eases migration
Shared catalog – defines and preserves structure and business
context of data for new applications and partner solutions
Open management services frameworkBuilt for multi-function analytics | Optimized for cloud
14© Cloudera, Inc. All rights reserved. 14© Cloudera, Inc. All rights reserved.
Multi-Cloud Multi-Function
Platform-as-a-Service
Altus Analytic DB (beta) the first data warehouse cloud service
to bring the warehouse to the data, enabling
enterprises to quickly and reliably perform self-
service BI and SQL analytics
Altus Data Engineering simplifies building and running large-scale elastic
data workloads, making it easy to incorporate
data engineering elements into more complex BI,
data science and real-time apps
15© Cloudera, Inc. All rights reserved.
Customers
Run IMPALA on Cloudera
Machine LearningPattern recognition
Anomaly detection
Prediction
Customers
Run on Cloudera
Enterprise-proven
machine learning and analytics
AnalyticsSelf-service intelligence
Real-time analytics
Secure reporting
© Cloudera, Inc. All rights reserved.
16© Cloudera, Inc. All rights reserved. 16© Cloudera, Inc. All rights reserved.
Supports multiple languages
TensorFlow, R, Python
Direct, secure access to production data
Impala & Spark
Collaborative and reproducible data
science
Accelerating machine learning and data science from exploration
to production
Cloudera
Data Science Workbench
17© Cloudera, Inc. All rights reserved. 17© Cloudera, Inc. All rights reserved.
Published research subscription service
Delivers cutting edge advances in applied
machine learning / artificial intelligence
Accelerates adoption in large enterprises
Drives demand for our platform
Applied research for machine learning and data science
Cloudera
Fast Forward Labs
18© Cloudera, Inc. All rights reserved.
Predict health outcomes
IoT sensor data analytics
Dodd-Frank (CCAR)
Customerexperience
Device analytics Datasecurity + PCI
Taxpayer360
Supply chainoptimization
Frauddetection
Open ecosystem driving industry solutions
INDUSTRY STANDARD 100+ PARTNER SOLUTIONS
DRIVE
CUSTOMER INSIGHTS
CONNECT
PRODUCTS & SERVICES (IoT)
PROTECT
BUSINESS
SI and reseller
Software and OEM
Data systems
Platform and cloud
Machine learning and analytics optimized for the cloud
19© Cloudera, Inc. All rights reserved.
Adoption driven by large enterprises
Customers across all verticals
660+ Global 8000customers
7/10 9/10 30+ 6/10 8/10Top Global Top Global Top Global Top GlobalCountries with
Government Customers
BANKING TELCO PUBLIC HEALTHCARE TECHNOLOGY
Plant the flagInternational strategy
Note: Banking excludes state-controlled firms.
20© Cloudera, Inc. All rights reserved.
Benefitting from multiple growth vectors
New use cases
Cloud
Partner leverage
Explosion of data
International growth
New logos
OSS market seedingLAND
EXPAND
21© Cloudera, Inc. All rights reserved.
Cloudera leadership team
Tom Reilly
CEO
Mike Olson
Co-Founder and CSO
Amr Awadallah
Co-Founder and CTO
Doug Cutting
Chief Architect,
Co-Creator Hadoop
Daniel Sturman
SVP Engineering
Charles Zedlewski
SVP Products
Jim Frankola
Chief Financial Officer
Mick Hollison
Chief Marketing Officer
Vishal Rao
SVP Field Operations
Britt Sellin
VP Human Resources
David Middler
Chief Legal Officer
22© Cloudera, Inc. All rights reserved.
Financial highlights
Rapid revenue growth at scale
Powerful land & expand
economics
Proven pathto profitability
Large marketopportunity
23© Cloudera, Inc. All rights reserved.
$34$38
$44
$50$56
$64$67
$73$80
$90$95
FQ1'16 FQ2'16 FQ3'16 FQ4'16 FQ1'17 FQ2'17 FQ3'17 FQ4'17 FQ1'18 FQ2'18 FQ3'18
HISTORICAL QUARTERLY REVENUE ($M) HISTORICAL ANNUAL REVENUE ($M)
41%TTM
growth
$109
$166
$261
$337
FY15 FY16 FY17 TTM at FQ3'18
Services Subscription
Rapid revenue growth
51%Subscription
Y/Y TTMgrowth
24© Cloudera, Inc. All rights reserved.
Operations in 30+ countries
Covering 90%+ of Global 8000
Targeting the Global 8000FQ3’18 FQ3’18
Differentiated solution
85% of the world’s data
29%International
Revenue split
~60%Global 8000
& Public Sector
>80%Global 8000
& Public Sector
Subscription revenue splitCustomer split
25© Cloudera, Inc. All rights reserved.
Significant expansion in every cohort
Note: Our quarterly net subscription revenue expansion rate equals: the subscription revenue in a given quarter from all customers that had subscription revenue in the same quarter of the
prior year, divided by the subscription revenue attributable to that same group of customers in that prior quarter. Our net expansion rate equals the simple arithmetic average of our
quarterly net subscription revenue expansion rate for the four quarters ending with the most recently completed fiscal quarter.
135%net expansion
rate
26© Cloudera, Inc. All rights reserved.
5 PLATFORM EDITIONS 3 NEW OFFERINGS SUBSCRIPTION PRICING
Diversified revenue model
BY CONSUMPTION
BY NODE
BY USER
27© Cloudera, Inc. All rights reserved.
60%
69%73%
FY16 FY17 FQ3'18
Rapid software growth drives gross margin expansionNON-GAAP GROSS MARGIN TRENDS
• Software subscription
revenue growth• scale benefits
• positive mix shift
• Benefitting from cloud
deployment
• Machine learning powers
proactive support
OVERALL
78%82%
86%
FY16 FY17 FQ3'18
SOFTWARE
Note: Presented on a non-GAAP basis. Please see pages 30-32 for a Non-GAAP to GAAP reconciliation
28© Cloudera, Inc. All rights reserved.
NON-GAAP FY16 FY17 FQ3’18 Long-term model
Subscription Margin
Services Margin
Total Gross Margin
78%
14%
60%
82%
24%
69%
86%
12%
73%
90%+
20%+
82% - 84%
R&D / Revenue
S&M / Revenue
G&A / Revenue
46%
84%
13%
37%
75%
10%
31%
57%
11%
16% - 20%
30% - 34%
5%
Operating Income Margin
Operating Cash Flow Margin
(83%)
(55%)
(54%)
(45%)
(26%)
(3%)
30%
>30%
Progress toward long-term model
1. Presented on a non-GAAP basis. Please see pages 30-32 for a Non-GAAP to GAAP reconciliation
(1)
29© Cloudera, Inc. All rights reserved.
• Machine learning and analytics platform
• Enterprise scale, security and performance
• Cloud-native and cloud-differentiated
• Open-source innovation and efficiency
• World-class partner ecosystem
30© Cloudera, Inc. All rights reserved.
GAAP to Non-GAAP Reconciliation (Three Months Ended – Oct 31, 2017)
(in thousands)
31© Cloudera, Inc. All rights reserved.
GAAP to Non-GAAP Reconciliation (Twelve Months Ended – Jan 31, 2017)
(in thousands)
32© Cloudera, Inc. All rights reserved.
GAAP to Non-GAAP Reconciliation (Twelve Months Ended – Jan 31, 2016)
(in thousands)