Improve Data Cloud Performance
Keebo improves both performance and efficiency by automatically optimizing how your data cloud runs. Instead of reacting to performance issues, Keebo prevents them by continuously tuning your environment in real time.
Trusted by Modern Data Teams
5 Layers of Performance Protection
Optimization should never come at the cost of reliability.
- Performance guardrails for latency and queue thresholds
- Algorithm aggressiveness sliders
- Custom schedules and rules
- Fine-grained per-warehouse controls
- Outside change detection
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
“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
Recent Blog Posts
Snowflake Spillage: What It Is, Why It Happens, and What It Costs You
Snowflake Pipeline Efficiency: A Hygiene Framework to Cut Waste
Snowflake Query Profile: An Autopsy for Slow Queries
Frequently Asked Questions
Keebo continuously optimizes compute resources and workload execution to reduce latency and improve query performance.
Yes. Keebo automates many of the manual tuning and optimization tasks typically handled by data engineering teams.
No. Keebo uses performance guardrails to ensure SLAs are maintained while optimizing the system.
No. Keebo uses performance guardrails to ensure SLAs are maintained while optimizing the system.