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Home » Snowflake Hits Another Milestone: 1 Billion Queries in 24 Hours
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Snowflake Hits Another Milestone: 1 Billion Queries in 24 Hours

John FoleyBy John FoleyJune 3, 2021Updated:December 13, 20214 Mins Read
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When Snowflake announced its Q1 FY2022 earnings, one metric stood out as a harbinger of where the cloud database market is heading: Snowflake processed one billion queries in a single day, CEO Frank Slootman revealed during the Q1 review.

Why does that matter? A query is a request to access data from a database. It is an indicator of database activity and usage, and in the case of Snowflake that means business analytics. And because Snowflake’s business model is based on consumption, a growing number of queries correlates to an increase in revenue.

Indeed, those trend lines are moving upwards in parallel for Snowflake. The number of queries in Snowflake’s cloud database service grew “more than 100%” compared to the same period a year ago, while Snowflake’s product revenue grew 110%, to $214 million, in Q1 year to year.

There are other ways of measuring the growth of cloud database platforms, including number of end users, business accounts, and third-party service providers. But queries reflect activity against the database itself, so they are a measure of the usage and scale of the underlying cloud infrastructure.

Tracking database queries

Queries are not always included in database companies’ quarterly results, so it’s interesting that Snowflake has determined they are a relevant point of reference. And it’s not the first time. Prior to Snowflake’s IPO last year, Snowflake reported that it processed an average of 507 million queries per day in July of 2020, according to Bloomberg.

In fact, Snowflake keeps a running tab of queries on its website. As of April 1, Snowflake queries were tracking at an average of 920 million per day. It’s a metric worth watching as more businesses tap into Snowflake to drive analytics across their enterprises.

The context for Snowflake’s billion-query milestone is that many businesses have ramped up their digital infrastructures and deployed new customer-facing applications during the Covid pandemic, much of which translates into database queries. “The data drives digital transformation,” Slootman said on Snowflake’s May 26 earnings call.

Other Snowflake Q1 highlights:

  • 4,532 total customers, a 67% year-to-year increase
  • An impressive net revenue retention rate of 168%
  • 104 customers with trailing 12-month product revenue exceeding $1 million, a 117% Y-to-Y increase
  • 498 third-party data sets in its marketplace, a 31% increase over Q4 FY2021
Data cloud and edges

Slootman credits Snowflake’s expanding data cloud model for driving growth and customer adoption. “We seek to build and deploy core infrastructure for the digital economy, and the data cloud is exactly that,” he said.

Snowflake describes data cloud as a near real-time “active dynamic hub” of thousands of relationships between its customers and partners, including third-party data providers who make data sets available through Snowflake’s marketplace for industries including media and advertising, financial services, healthcare, and retail.

“The data cloud is the sum of all data networking relationships that are active at any point in time,” Slootman said.

Snowflake tracks these data networking relationships through what it calls data “edges.” At the end of Q1, 15% of Snowflake customers had data edges in place with external Snowflake accounts, compared to 10% a year ago. The number of edges grew 33% in Q1 compared to Q4 of FY2021.

This shows that data sharing via Snowflake’s data cloud increasingly involves a company’s business partners and customers, not just in-house analytics by the company’s own employees.

All of that data sharing will keep driving more cloud database queries.

 
RECOMMENDED READING

Cloud Database Report

Cloud Database Top 20

Cloud Vendors Confront ‘Highest Risk’ Projects: Database Migration

Snowflake: 4 Big Steps on Journey to $1 Billion in Data Cloud Revenue

Who’s #1 Cloud Database: Oracle, AWS, Microsoft? Cockroach, Databricks, Mongo?

Surging Cloud Databases Will Blow Past Legacy Databases in Mega Platform Shift

The Cloud Database Market Is Booming: 10 Key Developments

 

This news analysis is provided by the Cloud Database Report. Subscribe to our free newsletter for regular updates. 

CEO Cloud Database Data Revolution Earnings Call Snowflake
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John Foley
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John is founder of the Cloud Database Report and host/Sr. Analyst for the Data Revolution channel on Acceleration Economy. For more than 20 years, John has covered database management systems and data warehouses, and the ongoing challenges businesses face with data quality, policy, performance, and scale. He also writes and podcasts regularly about the latest trends and innovations in cloud database platforms, including data integration, analytics, machine learning, data transformation, autonomous management, and hybrid clouds. John digs into real-world use cases and best practices that lead to data-driven insights and actions. Recently he helped drive strategy as a communications leader at Oracle, IBM, and MongoDB. That first-hand industry experience informs his perspective and analysis.

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