Autonomous Warehouse Optimization
Your warehouse isn’t inefficient by accident. It’s overprovisioned to protect performance and manually tuned to control costs. Neither approach scales. Keebo delivers autonomous cloud data warehouse optimization that continuously balances performance, efficiency, and reliability.

Autonomous Optimizations Implemented
Continuous Warehouse Rightsizing
Keebo continuously rightsizes warehouses to match workload demand.
Downsize to Eliminate Waste

- Detects underutilized warehouses automatically
- Downsizes compute as demand declines
- Uses performance guardrails to protect SLAs
- Automatically backs off to prevent performance impact
Upsize to Protect Performance

- Monitors latency, queue time, and queue depth
- Detects sustained performance degradation
- Upsizes compute when performance thresholds are breached
- Prevents prolonged query delays during workload spikes
Trusted by Modern Data Teams
How Keebo Warehouse Optimization Works
Continuous optimization, handled for you.
Learn
Keebo’s agentic AI analyzes your workload patterns using performance metadata.
Constrain
You define your SLAs and performance guardrails to control how Keebo operates.
Optimize
Keebo continuously optimizes warehouses 24/7 within your guardrails.
“Keebo dynamically scales our Snowflake resources up and down, allowing us to maintain an excellent user experience while staying within budget. The process is nearly hands-free, which has been invaluable for our team.”
Tom Abraham
Manager of Data and Analytics
Caring.com
Built for Teams Operating at Scale
Stop making tradeoffs between performance and cost. Keebo helps your teams achieve both at scale.
Data & Analytics Teams
- Deliver faster analytics with consistent performance
- Maximize the value of every compute credit or DBU
- Eliminate manual tuning and free your team to build
FinOps Teams
- Predictable spend with fewer budget surprises
- Verified savings you can measure and trust
- Cost optimization aligned with your business goals
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.















