Joveo reduces costs of customer-facing workloads on Snowflake by 40%

Company Profile

Joveo is a B2B SaaS company, known for its AI-powered fully-integrated recruitment marketing platform.

Location

California

Key Results

40% cost savings for customer-facing workloads

16% reduction in overall Snowflake spend

Joveo is a leading HR Tech startup, known for its fully-integrated recruitment marketing platform and programmatic job ad tech. As one of America’s fastest growing private companies, Joveo has prioritized innovating for their customers, by building features such as analytics. They chose Snowflake as the data platform to build their customer-facing analytics because of its ease-of-use and scalability.

With time, the costs of this workload on Snowflake gradually started rising as the feature was adopted by Joveo’s customers. Snowflake usage was, in general, on an upward trend as the company experienced rapid growth. While manual cost optimization exercises did lead to temporary relief, Krishna Bhargav (Chief Architect & Head of Data at Joveo) was looking for a more permanent solution. That’s when he came across Baselit’s Snowflake optimization platform.

”There is a limit to what we can achieve with manual optimization, beyond which the realized cost savings does not justify the effort it takes. I got interested in Baselit’s approach because it did not require any bandwidth of our team”, said Krishna Bhargav.

Autoscaling away troubles

One area of focus at Joveo was a multi-cluster warehouse the ran customer-facing workloads. It made up around one-fifth of their total spend. ”Snowflake would very aggressively scale out the multi-cluster warehouse that was powering Joveo’s customer-facing analytics. We knew that there was an opportunity to optimize - Baselit’s Autoscaler was instrumental here,” said Chandan Gundu, Senior Software Engineer at Joveo.

Snowflake, by default, provides two options for scaling - Economy and Standard. In most scenarios, the optimal scaling lies somewhere in between. Autoscaler enabled Joveo to create a custom scaling policy for this warehouse, which led to lower costs without a significant change in performance. “With Baselit’s Autoscaler, we can now run our customer facing workloads at a 40% lower cost than before. I was really surprised to find out we had this large a headroom for savings!” said Krishna Bhargav, Chief Architect & Head of Data at Joveo.

Together with Baselit’s Agents feature, Joveo was able to cut down the overall Snowflake spend by 16% - using zero bandwidth of the team. If you’d like to see similar results at your company, book a demo with us!

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Stay updated with strategies to optimize Snowflake.

Backed by

© Merse, Inc. dba Baselit. All rights reserved.