Xinglian Liu
Oct. 17, 2018
The Problem
• Enterprises need a better solution to store and analyze their
diverse data
• Traditional data warehouses have limitations
The Product
• Snowflake: Cloud-based Data Warehouse System
The Product – Load diverse data
• handles both structured and semi structured data
structured data
semi-structured data
Photo: Snowflake Computing Inc. All Rights reserved.
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.
The product – Do the query!
Photo: Snowflake Compu.ng Inc. All Rights reserved.
Financial Info
• Snowflake is profitable!
• Growing exponentially!
January
1.5 B
October
3.5 B
Business model
• Sell its data warehousing services
• Pay as you use
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 valuaHon
Sep. 2018• – generally available in Azure, 1000+ customers
Oct.• 2018 – 3.5 B pre-IPO valuaHon
Secret Sauce
Its unique architecture
Competition
• Industry: data warehouse
• Role: mover and shaker
Competition
Amazon Redshift Google BigQuery Snowflake
On demand pricing
Time Travel
Support semi-structured
data with no transformation
Separate Storage and
Compute
My prediction
•Success!
reference
• https://resources.snowflake.net/
• https://www.snowflake.com/about/
• https://resources.snowflake.net/youtube-all-videos/snowflake-
introduction-demo
• https://www.wsj.com/articles/snowflake-more-than-doubles-valuation-in-
nine-months-1539252001
• https://en.wikipedia.org/wiki/Snowflake_Computing#Products
• https://www.snowflake.com/news/snowflake-announces-general-
availability-on-microsoft-azure/
• https://www.periscopedata.com/blog/interactive-analytics-redshift-
bigquery-snowflake
• https://fivetran.com/blog/warehouse-benchmark

Company report xinglian

  • 1.
  • 2.
    The Problem • Enterprisesneed a better solution to store and analyze their diverse data • Traditional data warehouses have limitations
  • 3.
    The Product • Snowflake:Cloud-based Data Warehouse System
  • 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 Compu.ng Inc. All Rights reserved.
  • 7.
    Financial Info • Snowflakeis profitable! • Growing exponentially! January 1.5 B October 3.5 B
  • 8.
    Business model • Sellits data warehousing services • Pay as you use
  • 9.
    History 2012• – Foundedin San Mateo Oct. 2014• – Came out of stealth mode Jun. 2015• – generally available in AWS with ~80 customers Jan. 2018• – 1.5B unicorn valuaHon Sep. 2018• – generally available in Azure, 1000+ customers Oct.• 2018 – 3.5 B pre-IPO valuaHon
  • 10.
  • 11.
    Competition • Industry: datawarehouse • Role: mover and shaker
  • 12.
    Competition Amazon Redshift GoogleBigQuery Snowflake On demand pricing Time Travel Support semi-structured data with no transformation Separate Storage and Compute
  • 13.
  • 14.
    reference • https://resources.snowflake.net/ • https://www.snowflake.com/about/ •https://resources.snowflake.net/youtube-all-videos/snowflake- introduction-demo • https://www.wsj.com/articles/snowflake-more-than-doubles-valuation-in- nine-months-1539252001 • https://en.wikipedia.org/wiki/Snowflake_Computing#Products • https://www.snowflake.com/news/snowflake-announces-general- availability-on-microsoft-azure/ • https://www.periscopedata.com/blog/interactive-analytics-redshift- bigquery-snowflake • https://fivetran.com/blog/warehouse-benchmark