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GeezerVison is showing select.dev — SELECT - See Automated Query Optimization in Action See how SELECT improves every workloadWalk through how SELECT surfaces expensive Snowflake and Databricks queries, shows what to fix, and helps engineers improve performance without rewriting code. SELECT gives data engineers query-level visibility into cost, runtime, and workload behavior across Snowflake and Databricks. Instead of digging through dashboards, logs, and warehouse settings by hand, you can see which queries are driving spend, where contention starts, and which optimizations will have the biggest impact. In your demo, we'll show how SELECT identifies waste, prioritizes tuning opportunities, and helps teams improve performance with less manual analysis. You'll see the product through the lens of real engineering workflows, not a generic sales walkthrough. ![]() Let us show you how we optimize Snowflake!(times are shown in )November 2026
Retrieving Doers’ availability worldwide Available timesPick a highlighted date once availability loads. Trusted by 250 data teams at scale worldwide “ We saved over 35% on our Snowflake account in 2 months. We've been able to literally roll on more workloads onto Snowflake and keep our contract the same. One of the most helpful cost rituals we've setup from SELECT is the weekly spend digest sent to Slack. I can start high level and ensure things are in check. Our costs had jumped up 3X as we scaled, so we're talking about 60% savings in Snowflake spend after adopting SELECT. Blake Baggett, Head of Data Operations at Entain Michael Revelo, Manager of Data and Analytics Engineering at ClickUp Edward Mancey, GTM Lead at Synthesia | ||||||||||||||||||||||||||||||||||||||||||
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