Snowflake Inc. · NYSE:SNOW

Snowflake — Investor Presentation (March 2020)

36 slides from Snowflake's investor presentation, March 2020

  1. Slide 1: Date per bree Heit,

    Date per bree Heit, $46 snowflake

  2. Slide 2: Snowflake: The Cloud Data Platform

    SNOWFLAKE THE CLOUD DATA PLATFORM © 2020 Snowflake Inc. All Rights Reserved.

  3. Slide 3: Data...The New Frontier

    DATA…THE NEW FRONTIER © 2020 Snowflake Inc. All Rights Reserved.

  4. Slide 4: New Technology Changes How We Use Data

    NEW TECHNOLOGY CHANGES HOW WE USE DATA Diversification of Explosion of Data Rise of the Cloud Analytics Analytics is growing in IoT, mobile, and social Cloud gives us the importance, everywhere, open up new opportunities ability to scale and and for everyone for insight centralize data © 2020 Snowfl

  5. Slide 5: Taking a Platform Approach Leads to Big Business Impact

    TAKING A PLATFORM APPROACH LEADS TO BIG BUSINESS IMPACT Make Better, Quicker Reduce the Cost of Create a Great Customer Business Decisions Scaling Data Management Experience with Data and Analytics © 2020 Snowflake Inc. All Rights Reserved.

  6. Slide 6: Journey to a Cloud Data Platform

    JOURNEY TO A CLOUD DATA PLATFORM Value of Data Time On Premises Data Lake, 1st Gen Cloud Cloud Data EDW Hadoop EDW Platform All Data All Users Fast Answers SQL Database © 2020 Snowflake Inc. All Rights Reserved.

  7. Slide 7: Traditional Data Architecture

    TRADITIONAL DATA ARCHITECTURE Complex and Costly with Multiple Copies of Data Data Data Normalization Data Analytics Data Sources Integration Transformation & Aggregation Data Consumers OLTP Data Warehouses File Sharing Databases Operational Enterprise Reporting ETL ELT Applications Data Marts Data

  8. Slide 8: Modern Data Architecture with Snowflake

    MODERN DATA ARCHITECTURE WITH SNOWFLAKE Data Sources Data Consumers OLTP Data Data Data Data Data Data Data ETL, Streaming Databases Warehouse Lake Engineering Exchange Applications Science Monetization Enterprise Applications Operational Reporting Third-Party Ad Hoc Web/Log Analysis Data IoT Real-t

  9. Slide 9: The Value of a Cloud Data Platform

    THE VALUE OF A CLOUD DATA PLATFORM One Platform Unlimited One Copy of Data, Performance Many Workloads and Scale Secure & Near-zero Governed Access Maintenance, to All Data as a Service © 2020 Snowflake Inc. All Rights Reserved.

  10. Slide 10: One Platform, One Copy of Data, Many Workloads

    ONE PLATFORM, ONE COPY OF DATA, MANY WORKLOADS Data Warehouse Data Engineering Data Lake Modernize data Rethink transformation Simplify and accelerate warehousing to deliver with robust and integrated your data lake with one faster analytics at scale data pipelines platform for all your data Data Ap

  11. Slide 11: The Impact of a Cloud Data Platform

    THE IMPACT OF A CLOUD DATA PLATFORM Productivity Economics Scale Concurrency Performance Elasticity © 2020 Snowflake Inc. All Rights Reserved.

  12. Slide 12: Situation / Value

    SITUATION VALUE ● Shift to the cloud with focus ● 60+ analytics teams served on speed and value by single cloud data platform ● Managing infrastructure ● Migrated in < 90 days ● Significant governance, ● Load speeds improving 86% regulatory requirements ● 5x faster complex queries ● Improved governa

  13. Slide 13: Situation / Value

    SITUATION VALUE ● Multiple data warehouses, ● Diverse data ingested for some end-of-life analytics, data science ● Data silos caused ambiguity ● Improved agility, scalability and and reporting disparities analytics performance ● Poor consumer insight ● In depth customer knowledge and improved servic

  14. Slide 14: Situation / Pain, Solution / Value

    SITUATION / PAIN SOLUTION / VALUE ● Painfully slow analytics cycles ● Hundreds of newly empowered analysts ● Limited ability to answer complex questions ● Improved scalability and faster query times ● Inability to provide business continuity and ensure security ● Guaranteed security and data availab

  15. Slide 15: Proven by Over 3000 Customers

    PROVEN BY OVER 3000 CUSTOMERS © 2020 Snowflake Inc. All Rights Reserved.

  16. Slide 16: Ever Expanding Ecosystem

    Platform BI/Analytics ETL EVER EXPANDING ECOSYSTEM Data Science Services © 2020 Snowflake Inc. All Rights Reserved.

  17. Slide 17: Technical Deep Dive

    TECHNICAL DEEP DIVE © 2020 Snowflake Inc. All Rights Reserved.

  18. Slide 18: Architecture: How Is Snowflake Unique?

    HOW IS SNOWFLAKE UNIQUE? ARCHITECTURE © 2020 Snowflake Inc. All Rights Reserved.

  19. Slide 19: A Closer Look

    A CLOSER LOOK Traditional Architectures Snowflake Shared-disk Shared-nothing Multi-cluster, shared data Additional capacity requires Resizing cluster requires • Centralized, scale-out storage that expands and forklift upgrade redistributing data. Shut down contracts automatically requires unloading.

  20. Slide 20: Snowflake Architecture

    SNOWFLAKE ARCHITECTURE Scale Out Services Multi-Cluster Compute Centralized Storage Cloud Agnostic Layer © 2020 Snowflake Inc. All Rights Reserved.

  21. Slide 21: Modern Data Architecture with Snowflake Cloud Data Platform

    MODERN DATA ARCHITECTURE WITH SNOWFLAKE CLOUD DATA PLATFORM Data Sources Data Consumers OLTP Data Data Data Data Data Data Data ETL, Streaming Databases Warehouse Lake Engineering Exchange Applications Science Monetization Enterprise Applications Operational Reporting Third-Party Ad Hoc Web/Log Anal

  22. Slide 22: One Platform, One Copy of Data, Many Workloads

    ONE PLATFORM, ONE COPY OF DATA, MANY WORKLOADS Data Warehouse Data Engineering Data Lake Modernize data Rethink transformation Simplify and accelerate warehousing to deliver with robust and integrated your data lake with one faster analytics at scale data pipelines platform for all your data Data Ap

  23. Slide 23: ETL/ELT Sales Cloud Services

    L ETL/ELT Sales XS M Snowpipe S S Cloud Services Metadata Management Data Security Science Query Planning & Optimization M Transactional Control © 2020 Snowflake Inc. All Rights Reserved.

  24. Slide 24: Multi-cluster compute and Cloud Services

    ETL/ELT Sales XS M … M Multi-cluster Snowpipe XL S Cloud Services Metadata Management Data Security Science Query Planning & Optimization Transactional Control © 2020 Snowflake Inc. All Rights Reserved.

  25. Slide 25: Workload isolation with data sharing and cloning

    External M ETL/ELT Sales XS Data M … M Sharing Multi-cluster Snowpipe Structured & semi-structured Clone S XL XL Cloud Services Data protection & Metadata Management time travel Data Dev Ops Security Science Query Planning & Optimization L Transactional Control © 2020 Snowflake Inc. All Rights Reser

  26. Slide 26: Secure by Design, Data Availability

    SECURE BY DESIGN, DATA AVAILABILITY Authentication Access Data External Data Control Encryption Validation Availability • Embedded multi-factor • IP whitelisting • All data encrypted, • Certified against • User error: Time Travel, authentication always, end-to-end enterprise-class Failsafe, Cloning

  27. Slide 27: More on Workloads

    MORE ON WORKLOADS Data Data Data Data Lake Exchange Engineering Science © 2020 Snowflake Inc. All Rights Reserved.

  28. Slide 28: How Does Scalable Cloud Data Platform Enable Data Lakes?

    HOW DOES SCALABLE CLOUD DATA PLATFORM ENABLE DATA LAKES? Snowflake Data Lake Attributes Additional Benefits No silos – all data Multiple workloads Governance Global Open formats Cheap storage Transactional Performance Raw Representation Schema on read Data sharing Managed service © 2020 Snowflake In

  29. Slide 29: Augmenting Existing Data Lakes

    AUGMENTING EXISTING DATA LAKES Azure S3 Storage GCS Materialized SQL over Views materialized data New Files Notifications SQL over External Snowflake tables Hive Events Tables SQL over Hive external table Metastore Data Lake © 2020 Snowflake Inc. All Rights Reserved.

  30. Slide 30: Low Latency Ingest

    LOW LATENCY INGEST Web IoT External Stage Unload (S3, Azure Staging Mobile Blobs, GCS) Snowpipe Tables External Stage (S3, Azure Blobs, Enterprise GCS) Apps Data Sources © 2020 Snowflake Inc. All Rights Reserved.

  31. Slide 31: Scalable Transactional Transformations

    SCALABLE TRANSACTIONAL TRANSFORMATIONS Table Streams & Tasks Target Table 1 Unload Target Staging Transformations Table 2 External Stage Tables (S3, Azure Blobs, GCS) © 2020 Snowflake Inc. All Rights Reserved.

  32. Slide 32: Secure Data Sharing

    SECURE DATA SHARING Secure Live Frictionless Personalized Global © 2020 Snowflake Inc. All Rights Reserved.

  33. Slide 33: Enabling AI, ML, and Data Science

    ENABLING AI, ML, AND DATA SCIENCE • Improving data science speed and efficiency with centralized source of high performance data • Accelerating data exploration and preparation by 10-100x • Connectors to leading and emerging technologies • First class ecosystem of partners © 2020 Snowflake Inc. All

  34. Slide 34: Speaker Q&A

    SPEAKER Q&A © 2020 Snowflake Inc. All Rights Reserved.

  35. Slide 35: Join Us After the Break

    JOIN US AFTER THE BREAK © 2020 Snowflake Inc. All Rights Reserved.

  36. Slide 36: Thank You

    THANK YOU © 2020 Snowflake Inc. All Rights Reserved.

Snowflake — Investor Presentation (March 2020) on 6ix