Improve Data Cloud Performance and Efficiency
Keebo improves both performance and efficiency by automatically optimizing how your data cloud runs. Instead of reacting to performance issues, Keebo prevents them by continuously tuning your environment in real time.
Trusted by Modern Data Teams
Performance You Can Trust
Optimization should never come at the cost of reliability.
Keebo enforces:
- Performance guardrails for latency and queue thresholds
- Protection of SLAs and critical workloads
- Controlled optimization policies
- Continuous monitoring of changes
100s of Engineering Hours Reclaimed
Performance tuning is often manual, reactive, and time consuming. Keebo reduces that burden by automating optimization work.
What changes:
- More time for feature development and innovation
- Less manual tuning and debugging
- Fewer firefighting incidents
- Reduced need for constant performance monitoring
“Time is money. We used to spend 15 hours a week on manual optimization. With Keebo, you can install it and forget it. You don’t really need to touch it. It makes my life easier. If we didn’t have Keebo, I would need to hire additional resources to monitor Snowflake.”
Sean Cooperman, Director of Data Engineering
Sightline Payments
Frequently Asked Questions
Keebo continuously optimizes compute resources and workload execution to reduce latency and improve query performance.
Yes. Keebo automates many of the manual tuning and optimization tasks typically handled by data engineering teams.
No. Keebo uses performance guardrails to ensure SLAs are maintained while optimizing the system.
No. Keebo uses performance guardrails to ensure SLAs are maintained while optimizing the system.