Keebo Warehouse Optimization | Overview

Trusted by Modern Data Teams

Why Teams Choose Keebo

Stop choosing between cost savings and performance. Most optimization tools force a tradeoff between reducing cloud costs and maintaining performance and reliability. Keebo eliminates that tradeoff by automating optimization while keeping your team in control with safe production guardrails and no black-box behavior.

“Recently, our analysts were running queries that were not optimal, and thanks to Keebo, we were able to find the queries and fix them quickly with minimal data engineering effort. Keebo autonomously identifies what is wrong and provides the extra profiling we didn’t have before.” 

Sean Cooperman, Director of Data Engineering
Sightline Payments

Data Warehouse Optimization Without Sacrificing Control

Disclaimer: Information is based on public sources and internal analysis as of April 27, 2026 and may change over time.

How Does Keebo Pricing Compare to Espresso AI?

Both solutions reduce your Snowflake spend. The difference is whether the savings you’re charged for are projected or actually verified.

Pay based on verified savings


No projections. No estimates. Just your real numbers.

Pay based on projected savings

Espresso AI estimates what you could save and charges against that figure. There’s no metadata-backed verification so the number you pay from and the number you actually save may not match.


You’re paying based on a projection, not what your data proves.

The bottom line: When a solution charges on projected savings, there’s an incentive to overestimate. Keebo’s model is tied to verified savings, so the savings figure you see is the one you can take to your CFO.

Customer Stories

Don’t just take our word for it. See what our customers are saying.

Ready to Optimize Your Data Warehouses?