Autonomous Warehouse Optimization

Keebo Warehouse Optimization | Overview
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How Keebo Warehouse Optimization Works

Continuous optimization, handled for you.

Continuous Rightsizing in Both Directions

Keebo aligns warehouse capacity with workload demand, around the clock.

Downsize to Eliminate Waste

Keebo autonomously downsizes warehouses to eliminate compute 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

Keebo | Warehouse Optimization
  • 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

Optimization Levers

Keebo adjusts warehouse compute settings based on live workload demand.

  • Warehouse Size. Scales compute up and down as demand changes.
  • Auto-Suspend. Tunes idle timeouts so warehouses stop paying for unused time.
  • Scaling Behavior. Multi-cluster optimizations adjust the maximum cluster count of the warehouse. 
Snowflake memory optimization

Works With Snowflake and Databricks

Our autonomous, metadata-only AI adapts to your workloads in real time so you can reduce costs, improve performance, and maintain control without constant tuning.

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.

Keebo | Warehouse Optimization
Keebo | Warehouse Optimization

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. 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.

Ready to Optimize Your Cloud Data Warehouses?

Connect Snowflake or Databricks and let Keebo learn your workloads. Start a 14-day free trial or get a walkthrough with your own environment.