Snowflake is a cloud-based data warehouse that is built for the cloud. It was founded in 2012 and has raised $1 billion in funding. Snowflake's architecture separates storage, compute, and metadata services, allowing it to offer unlimited scalability, multiple clusters that can access shared data with no downtime, and full transactional consistency across the system. Snowflake has over 2000 customers including large enterprises that use it for analytics, data science, and sharing large volumes of data securely.

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SNOWFLAKE
THE DATA WAREHOUSE BUILT FOR THE CLOUD
James Harnischmacher
Sales Engineer | APJ
Snowflake. Inc.

2. © 2019 Snowflake Computing Inc. All Rights Reserved
3 YEARS IN STEALTH + 3 YEARS GA
2
Founded in 2012 by
industry veterans
with over 120
database patents
~$1BN in venture
capital funding from
leading investors
~$4.5BN valuation
First customers
2014, general
availability 2015
~1300 employees
Over 2000
customers today
Queries processed in
Snowflake per day:
> 165 million
Largest single
table:
> 68 trillion rows
Largest number of
tables single DB:
> 200,000
Single customer
most data:
> 55PB
Single customer most
users:
> 10,000
FUN FACTS

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SNOWFLAKE:
A FULL DATA WAREHOUSE, BUILT FOR THE CLOUD
3
Built for
the cloud
SQL Data
Warehouse
Delivered as
a service
Our vision
Allow our customers to access all their
data in one place so they can make
actionable decisions anytime, anywhere,
with any number of users.
Our solution
Next-generation data warehouse
built from the ground up for the
cloud to address today’s data and
analytics challenges.

4. Why?

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IT’S JUST NOT WORKING…
5
Complexity
Manage both
infrastructure
and data
Limited
Scalability
Can’t support
all data,
users and
workloads
Diversity
Unable to
consolidate
siloed
datasets
Inadequate
Elasticity
Stuck with rigid,
inflexible
architectures
Rigid Cost
Forced to
keep the
lights on 24/7
Sharing
Transfers limit
volume and
frequency

6. How does Snowflake
make things easier?

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A NEW ARCHITECTURE FOR DATA WAREHOUSING
Multi-cluster, shared data, in the cloud
7
Traditional Architectures Snowflake
Shared storage
Single cluster
Shared-disk
Decentralised, local storage
Single cluster
Shared-nothing Multi-cluster, shared data
Centralised, scale-out storage
Multiple, independent compute clusters

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Snowflake’s built-for-the-cloud architecture provides
many benefits. The key is separation of storage,
compute and metadata services.
● Unlimited storage scalability without refactoring
● Multiple clusters can read/write shared data
● Resize clusters instantly - no downtime
● Centrally manage logical assets (warehouse,
database, etc) - not technical assets (servers,
buckets, etc)
● Full transactional consistency (ACID) across
entire system
SNOWFLAKE ARCHITECTURE
Management Optimisation Security Availability Transactions Metadata

9. Sounds great…
show me.

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13. Let’s dive in…

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ETL/ELT
Snowpipe
XS M
Sales
Data
Science
M…
Dev Ops
Clone
XL
Multi-cluster
Structured &
semi-structured
Global Services
Transactional Control
Security
Query Planning & Optimisation
Logical Model
L
Finance/DBAs
External
Data
Sharing
Data protection &
time travel
M
AWS Glue Amazon QuickSight
XL

15. What are customers
doing with Snowflake?

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EDW
Data Sources
Data
Lake
Data-Marts
BI, Analytics &
Data Science
OLTP
Databases
Enterprise
Applications
Data
Providers
Web/Log
Data
IoT
ETL
or
ELT
Data
Consumers
MODERN DATA LANDSCAPE

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Proven by Over 2000 Customers

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ANALYSTS ARE ALSO RECOGNISING
SNOWFLAKE AS A LEADER

19. Wow…
so much to remember…

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Miller’s Number

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Simplicity
Simple,
serverless,
plug and play
Scalability
Any scale
of data,
users and
workloads
Diversity
One place for
all your data,
in any format
Elasticity
Size for what you
need, right now.
Resize performance
instantly
Flexible Cost
Pay for what
you use,
when you
use it
Sharing
Secure, live data
sharing across
regions and
clouds
SNOWFLAKE JUST WORKS!

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START FOR FREE

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