2. The Problem
• Enterprises need a better solution to store and analyze their
diverse data
• Traditional data warehouses have limitations
3. The Product
• Snowflake: Cloud-based Data Warehouse Service
• Load diverse data
• Create virtual warehouses as needed
4. The Product – Load diverse data
• handles both structured and semi structured data
structured data
semi-structured data
Photo: Snowflake Computing Inc. All Rights reserved.
5. The Product – Create virtual warehouses
• Separate virtual warehouses created for different workload
• not competing for the computing resources
• Easily scale up and down
Photos: Snowflake Computing Inc. All Rights reserved.
6. The product – Do the query!
Photo: Snowflake Computing Inc. All Rights reserved.
7. Financial Info
• Snowflake is profitable!
• Growing exponentially!
• Valuation in 2018:
January
1.5 B
October
3.5 B
8. Business model
• Sell its data warehousing services
• Pay as you use
• Prepay with discount
9. History
• 2012 – Founded in San Mateo
• Oct. 2014 – Came out of stealth mode
• Jun. 2015 – generally available in AWS with ~80 customers
• Jan. 2018 – 1.5B unicorn valuation
• Sep. 2018 – generally available in Azure, 1000+ customers
• Oct. 2018 – 3.5 B pre-IPO valuation
10. Secret Sauce
• Its unique architecture
• Market demands for elasticity
• Cloud Computing
12. Competition
Amazon Redshift Google BigQuery Snowflake
On demand pricing
Time Travel
Support semi-structured
data with no transformation
Separate Storage and
Compute