Keebo Warehouse Optimization

Keebo Warehouse Optimization | Overview

Trusted by Modern Data Teams

Warehouse Cost 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.

How Keebo Warehouse Optimization Works

Continuous optimization, handled for you.

Keebo uses AI to automatically adapt to your workload in real time.

Learn
Analyzes workload patterns using performance metadata. No access to raw or sensitive data.

Set
Define your SLA and performance guardrails. Choose autonomous or recommendations-only mode.

Optimize
Continuously rightsizes warehouses 24/7 within your guardrails to reduce cost and maintain performance.

Warehouse Optimization - Memory and Resizing

Built for Teams Operating at Scale

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

Tom Abraham, Manager of Data and Analytics
Caring.com

FAQ

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?