Keebo AI
Keebo continuously optimizes Snowflake and Databricks warehouses for maximum efficiency, saving up to 27% on costs.
At a glance
3.9 out of 5
Scored by Alex after real useOur verdict
Keebo autonomously optimizes cloud data warehouses with agentic AI. It’s great for reducing operational overhead but may not be the best fit if you need manual intervention or query rewriting.
✓What it does well
✕Where it falls short
Key features
Questions about Keebo AI
What does Keebo AI do?
Keebo AI continuously optimizes Snowflake and Databricks data warehouses using agentic AI, tuning them in real time without manual intervention. The vendor says it saves up to 27% on costs, and it tracks those savings with verifiable data down to individual credits saved.
How does Keebo AI pricing work?
Keebo AI's Pay-As-You-Go plan is listed at $0 per month, with charges based on the percentage of savings Keebo generates. A 14-day free trial is available to start, and an Enterprise Subscription is offered at a price available by contacting the vendor.
Which data warehouses does Keebo AI support?
Keebo AI currently supports only Snowflake and Databricks warehouses, and the reviewer notes there is no support for other platforms yet. It runs on the web and through an API, and it gives data and FinOps teams full observability into query behavior and inefficiencies.
What are the downsides of Keebo AI?
Keebo AI does not support manual optimization or query rewriting, and it offers no inline rewrite or SDK solutions. The reviewer adds that its metadata-only approach may add latency, and that it may not be the best fit for teams that want manual intervention.
Who is Keebo AI best for?
Toolio lists Keebo AI as best for modern data engineering teams that want to reduce operational overhead on cloud data warehouses. It is not for teams needing inline rewrite or SDK solutions. Alex scored it 3.9 out of 5 after real use.