Autonomous Warehouse Optimization

Keebo Warehouse Optimization | Overview

Trusted by Modern Data Teams

Warehouse Optimization Without Tradeoffs

Keebo delivers measurable savings that can be reinvested into analytics, AI, and high-value data initiatives. By freeing teams from manual tuning, Keebo increases engineering velocity and ensures innovation is never limited by infrastructure complexity.

Tom Abraham, Manager of Data and Analytics
Caring.com

How Keebo Warehouse Optimization Works

Continuous optimization, handled for you.

Built for Teams Operating at Scale

Stop making tradeoffs between performance and cost. Keebo helps your teams achieve both at scale.

Keebo | Warehouse Optimization
Keebo | Warehouse Optimization

Frequently Asked Questions

Warehouse optimization is the process of aligning compute resources with workload demand to reduce cost while maintaining performance. Keebo automates warehouse optimization by continuously analyzing workloads and adjusting resources in real time, ensuring efficiency without sacrificing reliability.

No. SLA guardrails ensure performance remains consistent or improves.

No. Optimization is fully autonomous, with optional recommendations mode.

Yes. Keebo operates on metadata only and does not access raw data.

Ready to Optimize Your Snowflake and Databricks Warehouses?