Keebo’s Transformative Approach Earns AI-Based Snowflake Cost Optimization Honor
I’m happy to share that CIO Review has named Keebo one of its AI-Based Snowflake Cost Optimization Solutions of the Year.
The award recognizes the work our team has done to help data teams keep their Snowflake environments efficient: lower wasted spend, steady performance, and less time spent on manual tuning.
Snowflake Cost Optimization: Why This Matters
Snowflake scales with your data. Keeping warehouse configuration matched to your workloads as they grow is the part that takes ongoing work.
Snowflake records detailed performance data for every query. Acting on millions of those signals continuously is hard to do by hand. Settings tuned for last quarter’s workloads drift as those workloads change.
Without automation, data teams spend hours tuning warehouses instead of building data products.
What Makes Keebo Different
Snowflake gives teams strong native controls: auto-suspend, resource monitors, budgets, and per-warehouse sizing. Keebo adds the layer that keeps them tuned continuously.
Keebo is an agentic optimization platform for the data cloud. It gives you visibility into your data pipelines, surfaces the insights with the most impact, and automates optimizations in real time.
By adjusting warehouse settings as workloads change, Keebo lowers credit consumption while holding query performance steady. Cost optimization, FinOps and observability, and engineering efficiency sit in one place.
Driving Real Results
- Cost savings. Our customers average 26.3% Snowflake savings (that’s $720/day on a $1M annual spend)
- More predictable spend. 93% of Keebo customers stay within their planned Snowflake spend.
- Success-based pricing. We keep $1 for every $3-$4 we save you. No savings, no charge.
- Zero implementation headaches. Setup takes 30 minutes of one engineer’s time.
Thank you to CIO Review for the recognition, and to the Keebo team and our customers who made it possible.
