A decade-long collaboration around data integration between Amazon Web Services Inc. and Snowflake Inc. has resulted in several notable milestones announced this week during AWS re:Invent.

Among these was the news that Snowflake had doubled its transaction growth in AWS Marketplace year-over-year to exceed $2 billion in sales. Mike Gannon (pictured, left), chief revenue officer of Snowflake, attributed the milestone to the integration of Snowflake’s fully managed data and AI platform with AWS services for customers.

“We’re seeing an acceleration of revenue going through the Marketplace,” Gannon said. “The joint integration … the integration with things like Catalog and Glue and Bedrock, I mean, that’s where customers are really leaning in from an outcome based selling perspective. We’re meeting them where they are.”

Gannon spoke with Dave Vellante at AWS re:Invent, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. He was joined by Chris Grusz (right), managing director of technology partnerships at AWS, and they discussed the key elements of an ongoing partnership between the two firms.

Data integration for AI

A steady stream of integrations between Snowflake and AWS products and services accounts for the $2 billion milestone announced this week. Among the offerings unveiled at re:Invent this week was new AgentCore capabilities in Amazon Bedrock, with ties back to Snowflake’s Cortex suite of AI features.

“Cortex agents from Snowflake are available to run inside of Amazon Bedrock AgentCore,” Grusz noted. “And that includes their Cortex agent for financial services. If you want to do financial service reporting, they’ve got an agent to go do that.”

Another key area of collaboration between the two firms involves security. The Snowflake AI Data Cloud is now listed in the AWS Marketplace for the U.S. Intelligence Community. AWS also supports the Open Cybersecurity Schema Framework, or OCSF, an open-source initiative to standardize data for security events.

“If you look at what we’ve done with OCFS, we’ve really standardized the signals that are going across all these different security providers so that our customers [can] figure out what’s going on,” Grusz said. “They’ve got a standardized approach to do that.”

Snowflake is continuing to build on its generative AI solutions for customers through offerings such as Snowflake Intelligence which it launched last month. AWS is a day-zero launch partner with Snowflake on this enterprise intelligence agent.

“We just made this launch of Snowflake Intelligence where you can literally put in the hands of a CFO or a CEO a prompt using natural language,” Gannon said. “’What’s my most productive retail office in the globe?’ And it will get a response instantly saying, ‘Hey, it’s this particular office in Singapore on this corner of this block.’ When you show the realities and the power of putting this kind of technology in the hands of an executive versus it only being in the hands of any analyst, it’s a materially different game.”

The two companies are also seeing results in enterprises across industries when customers deploy Snowflake’s fully managed data and AI platform within their existing AWS environments. An example of this is the biopharmaceutical company AstraZeneca PLC.

“AstraZeneca is looking at how we do better predictive information on cancer,” Grusz explained. “That data is residing in three very large systems and we’re actually working together to combine that data from a generative AI capability.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of AWS re:Invent:

Photo: SiliconANGLE