Introduction to Snowflake for Multi-cloud Data World

© 2023 Snowflake Inc. All Rights Reserved 5
INTRODUCTION
TO SNOWFLAKE
Jonathan Asvestis I July 2023

Safe Harbor and Disclaimers
Other than statements of historical fact, all information contained in these materials and any accompanying oral commentary (collectively, the “Materials”), including
statements regarding (i) Snowflake’s business strategy, plans or priorities, (ii) Snowflake’s new or enhanced products, services, and technology offerings, including those
that are under development or not generally available, (iii) market growth, trends, and competitive considerations, (iv) our vision for Snowpark, the Data Cloud, and
industry-specific Data Clouds, including the expected benefits and network effects of the Data Cloud; and (v) the integration, interoperability, and availability of Snowflake’s
products, services, or technology offerings with or on third-party platforms or products, are forward-looking statements. These forward-looking statements are subject to a
number of risks, uncertainties and assumptions, including those described under the heading “Risk Factors” and elsewhere in the Annual Reports on Form 10-K and the
Quarterly Reports on Form 10-Q that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, the future
events and trends discussed in the Materials may not occur, and actual results could differ materially and adversely from those anticipated or implied in the forward-looking
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© 2023 Snowflake Inc. All Rights Reserved
MISSION ALIGNMENT

The Data Cloud Is a Global Network
Connecting you
to the most relevant
content, powered
by a single platform

Innovation Journey to the Data Cloud
On-Prem
EDW
1st Gen
Data Lake
Public
Cloud
Data
Lakehouse
All Data
Single Engine
Governed
Globally Connected
Self-Managing
Programmable
Marketplace & Monetization

Snowflake Platform
Scale up and down
elastically, and scale out to
support massive concurrent
users, data volumes, and
different workloads
Single, unified platform that
delivers ease of use and
powerful automations
Access data and apps
across clouds and regions
securely with one
consistent experience
Optimized Performance
at Scale
It Just Works Globally Connected

Optimized Storage
Structured Semi-structured Unstructured
Cloud
On-Prem Open
Source
Unsiloed access to your data
Unstructured, semi-structured, and structured data together
with near-infinite scale.
Easily manage data at scale
Fast and efficient access, optimized compression,
and secure data - all automated.
Flexibility & interoperability
Work with data on-premises* or in open table formats*
to remove lock-in and adapt to new data patterns.
* in private preview

Elastic Multi-Cluster Compute
Data science
ETL
BI/Visualization
Dev/QA
One engine for every workload
Simplify your architecture. Power complex pipelines,
analytics, data science, interactive applications, and more.
Leading performance and concurrency
Fast, reliable performance for virtually all users and jobs with
no tuning or contention.
Accessible & programmable
Work in SQL, Python, or Java, and run your preferred tools
and libraries directly with Snowpark - without moving data.

The Power of Snowflake’s Scalability
The largest number of
queries within a one
minute interval that a
customer is executing
Average daily queries
from April 1, 2023 to
April 30, 2023
160K+*
The aggregate amount
of compressed data
stored in Snowflake for
the five largest
customers by data
volume
The number of rows in
the largest customer
table
50T+* 177 PB*
2.9B
*Figures as of April 30, 2023

Snowpark
17
What is Snowpark?
Snowpark is our secure
deployment and
processing of non-SQL
code to develop data
pipelines, machine
learning models, apps,
and more
Enable all data users
to bring their work to
a single platform with
native Python,
Java, Scala
support
Language
of Choice
Apply consistent
controls trusted by
over 500 of the
Forbes Global 2000
across all workloads
in Snowflake
No Governance
Trade-offs
Migrate existing Spark pipelines
with minimal code change, better
price-performance, transparent
cost and less ops overhead
Faster & Cheaper
Pipelines
Customers transitioning from
Spark-based pipelines are
reporting that Snowpark is up to 2-
3x faster at 30-50% of the cost.

Cloud Services
Self-managed
Automate encryption, access controls, availability, tuning,
maintenance, and more to keep operations simple and smooth.
Transparent improvements
Continually benefit from the latest performance enhancements
and economics - no action required.
Optimized resources & costs
Only pay for what you used and get full visibility
and cost governance controls to right-size costs.
Snowflake Managed
Maintenance
& Tuning
Multi-Cluster
Compute
Resources
Administration Availability
Networking
& Encryption
Query Design
& Tuning

The Move to Global
AWS
GCP
Azure
SNOWFLAKE REGIONS

Unified Governance
Tag-Based
Policies
Dat
Know Your Data Protect Your Data Connect Your Ecosystem
Access
History
Account
Usage
What
Where
Who Conditional
Masking
Anonymization
(PrPr)
Object Tagging
Classification
Object Dependencies External
Tokenization
Tag-Based
Policies
Row Access
Policies
Dynamic Data
Masking
Direct Secure Sharing
Data Cleanrooms
Data Marketplace
Pre-built
Partner
Integrations to
Manage Entire
Data Estate

Snowgrid
Cross-cloud collaboration
Instantly discover, access, and share data, services,
and apps globally, without ETL.
Cross-cloud governance
Flexible policies, tags, and lineage that follow the data
for consistent enforcement across users and workloads.
Cross-cloud business continuity
Leading resiliency to eliminate disruptions, comply with
changing regulations, or migrate between clouds.
AWS
GCP
Azure
SNOWFLAKE REGIONS

Snowgrid Unlocks Data Collaboration
Traditional Methods
Unsecure, once data is moved
Costly to maintain infrastructure / egress
Delayed access to data
Heavy implementation to expand beyond
a single cloud or region
Snowflake
FTP | APIs | ETL | Federated Protocols Privacy-Preserving Collaboration
Collaborate across clouds and regions
with no ETL or copies
Discover and access more than just data
Preserve privacy with robust
data governance
View, Query, Join
CONSUMER
PROVIDER
Share

Building Apps in the Data Cloud
Programmability to put your data to work
Build your way, but faster
Code directly in Python and Java with Snowpark; securely work
with your favorite libraries; and rapidly prototype live
applications with Streamlit.
Support dynamic demand
Easily scale to support growing usage without the SRE burden
through the full power of Snowflake’s platform.
Deliver better experiences
Unlock new ways to experience data through apps that run
natively in you and your customer’s Snowflake accounts.

Distribute and Monetize Data Products
24
Cross-cloud Marketplace with on-platform monetization
Distribute and monetize
data and Snowflake Native Apps to the entire Data
Cloud network. Streamline monetization with
customizable billing and on-platform purchasing.
Discover and use
data and Snowflake Native Apps that run within your
Snowflake account. No data movement = faster security
and procurement times.

Tap into 390+ Providers in the Snowflake Marketplace

One Platform

Powering Many Workloads
Build simple, reliable
data pipelines at scale
in the language of
your choice
Discover, access and
monetize live data,
services and apps in
the Data Cloud
Protect your enterprise
with near-unlimited
visibility, unified data,
and powerful analytics
Accelerate your ML
workflow with fast access
and elastically scalable
processing
Build data-intensive
applications without
operational burden
Accelerate analytics
for users and queries
with leading price /
performance and
no complexity
Deploy flexible
architectural patterns
with governance
and optimized
storage at scale
Delivers a modern
approach to working
with transactional and
analytical data together

Smoothing Your Growth Curve
Visibility Control Optimization

Continuously Maximizing Economic Value
Ongoing, transparent
updates means your price for
performance only gets better
Real time consumption-based
pricing delivers your cost
savings immediately

Data Cloud Growth
April 2020
* Visualization based on actual Data Cloud sharing activity as of April 30, 2020 and April 30, 2023 respectively.
April 2023

EVER EXPANDING ECOSYSTEM

THE DATA CLOUD
DIFFERENTIATION

NEAR-ZERO MANAGEMENT & NO DOWNTIME
Competitive Offerings
● No tuning required, zero management
● Zero-copy cloning and workload isolation
allows spinning up different environments in
seconds
● No downtime for maintenance
● Time travel allows recovering back to any
point in time for the latest 90 days
● Native support for structured, semi-
structured and unstructured data in the same
platform
● Complex tuning, security & management
● Need multiple instances for Dev/test/QA
● Regular downtime for maintenance
● Lack of granular recover
● Lack of or limited native semi-structured
data support

SCALING & CONCURRENCY
● Scale-out and Scale-up in seconds
● True workload isolation
● No downtime
● Automatic clustering
● Limited scalability
● Long time to resume and suspend
instances
● Lack of data sharing across instances
● Challenge to mix workloads within single
instance

ONE PLATFORM
● Auto-suspend, auto-resume, only pay by the
second warehouse is being used
● Same governance and capabilities across
any cloud vendor
● Cross-cloud, cross-region replication
● Snowflake Data Marketplace & Snowflake
Data Exchange
● Continuous Data Pipelines with Streams and
Tasks (CDC)
● Lack of real auto-suspend and resume
makes difficult to implement a real utility
model
● Cloud vendor lock-in
● Complex, limited or non existent data
sharing, data marketplace capabilities
● Custom configuration and code needed for
CDC

THANK YOU

Introduction to Snowflake for Multi-cloud Data World

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