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.
24,000,000
Autonomous Optimizations Implemented
Continuous Warehouse Rightsizing
Keebo continuously aligns warehouse capacity to 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
Keebo Warehouse Optimization is an AI-powered, autonomous solution that continuously rightsizes your Snowflake or Databricks warehouses and adjusts auto-suspend. It removes over-provisioning during lulls and scales for peaks automatically, maintaining SLA performance 24/7.
Keebo adjusts warehouse compute settings, chiefly size, auto-suspend, and scaling behavior based on live workload demand. It does not alter your data, tables, clustering keys, or queries.
Keebo adjusts continuously and in real time as your workload changes. That’s what keeps efficiency high without engineering intervention.
No. Keebo does not rewrite or modify your queries; it optimizes the warehouse they run on. Your SQL, data, and schema remain untouched.
Yes. Keebo offers a choice of fully autonomous operation or human-in-the-loop recommendations, and any change it makes can be reviewed and reversed. You stay in control of what Keebo is permitted to do.
Yes. You can apply different optimization settings and guardrails per warehouse, so each workload is tuned to its own performance and cost requirements. You can also exclude specific warehouses or workloads at any time, keeping full control over what Keebo manages.
It’s all three. Over-provisioning wastes money, manual tuning drains engineering time, and misconfigured warehouses put performance at risk. Keebo addresses the efficiency gap across cost, performance, and engineering velocity together.
No. Keebo operates on your existing warehouse through metadata and makes no structural changes to your data, schema, or configuration, so turning it off simply returns control to your team. There’s no migration and nothing proprietary embedded in your infrastructure.