Protect Performance While Keebo Removes Waste
Keebo improves both performance and efficiency by automatically optimizing how your data cloud runs. It rightsizes Snowflake and Databricks warehouses in both directions, adding compute when queues build and removing it when demand drops.

Trusted by Modern Data Teams
5
Layers of Performance Protection
99.9%
SLA Performance Maintained
100+
Engineering Hours Reclaimed Monthly
Multi-Layer Performance Protection
Optimization should never come at the cost of reliability. You control how Keebo optimizes, down to each warehouse.
- Per-Warehouse Controls. Set different targets for performance-critical and cost-sensitive warehouses.
- Optimization Aggressiveness Sliders. Choose how aggressively Keebo pursues savings on each warehouse.
- Performance Guardrails. Set limits for query latency and queue time. Keebo backs off when it approaches them.
- Schedules and Rules. Define custom schedules and rules around the times your workloads matter most.
- Outside Change Detection. Keebo detects warehouse changes made outside the platform.
Continuous Rightsizing in Both Directions
Keebo aligns warehouse capacity with workload demand, around the clock.
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
Consistent Performance, Without the Manual Work
“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
No. Keebo is built to protect performance while it optimizes, using five layers of performance protection to hold SLA-compliant query speed. Customers maintain 99.9% SLA performance while capturing savings.
Keebo’s guardrails are designed to prevent that, and the platform continuously monitors performance so it can detect and correct a regression automatically. A change is reversed if it would compromise your SLA.
Keebo learns each warehouse’s real workload patterns and models the performance impact before acting, so it only downsizes when it is reasonably confident it will have no negative impact on performance. You can also implement specific performance guardrails (e.g., query execution time, queue length); when Keebo hits those limits, it will back off the action on your warehouse regardless of the savings you could get.
You can set SLA targets and guardrails per warehouse, and Keebo optimizes each to its own requirement. Performance-critical and cost-sensitive workloads can be governed differently.
Keebo factors queuing and concurrency into its workload model, scaling to protect throughput under load rather than optimizing a single query in isolation.
Keebo’s workload modeling and guardrails account for heavy and long-running queries, scaling to preserve their performance rather than starving them to save cost.
Yes. Keebo Workload Intelligence analyzes spillage to local and remote storage, since undersizing that causes spillage would hurt both performance and cost.
Start Boosting Snowflake & Databricks Performance Today
See how Keebo would rightsize your warehouses without risking your SLAs. Start a 14-day free trial or get a walkthrough with your own workloads.




















