While Snowflake Inc. has orchestrated its platform to run with ease and simplicity for users, there is a subset of customers with an interest in cost management and performance tracking on a regular basis.

At Data Cloud Summit in San Francisco this week, the company unveiled a set of tools designed to provide those insights.

Snowflake’s Josh Klahr talks about cost management with theCUBE.

“The way we think about platform performance is first: How do we make it drop dead simple to just run your workload and not even think about it working?” said Josh Klahr (pictured), head of data warehouse at Snowflake. “But there are some cases where customers need extra visibility. Am I getting optimal performance? Which queries are running slow? At Summit this week, we announced a bunch of improvements around visibility and performance and cost.”

Klahr spoke with theCUBE’s research analyst Rebecca Knight at Data Cloud Summit, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how Snowflake is deploying new tools for customer use in gaining performance visibility and controlling cost. (* Disclosure below.)

Cost management added to Snowsight

One of the steps Snowflake announced this week was the integration of a cost management experience into its Snowsight web interface.

“Snowsight is our end user-facing UI for people who are managing Snowflake,” Klahr said. “Am I on budget for my next quarter or my next month in terms of spend? We start with that high level of visibility, and then we break that down into a set of tiles that lets customers know which warehouses are the most expensive, which queries may be the most expensive.”

Snowflake is also deploying cost management and performance optimization solutions to help reduce expense by leveraging AI and machine learning tools.

“One of the things we just launched this week is a new capability called Cost Insights,” Klahr said. “It proactively looks within the customer’s environments, identifies high sources of spend or high areas of bad performance, and it makes recommendations to consumers. It’s definitely lots of AI and machine learning in the background.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of Data Cloud Summit:

(* Disclosure: Snowflake Inc. sponsored this segment of theCUBE. Neither Snowflake nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE