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Enterprise Layer Intelligence
Categories/APM & Observability/Keebo
Keebo

Keebo

Founded 2019

Rightsize and tune Snowflake and Databricks data warehouses to reduce compute costs

Pricing model

Free

You can use Keebo to automatically reduce cloud data warehouse costs across Snowflake and Databricks. The service continuously tunes warehouse sizes and auto-suspend settings based on real workload patterns, ensuring queries meet performance expectations without over-provisioning compute resources. Because it operates out-of-band using metadata only, it never intercepts query traffic, rewrites SQL, or accesses your proprietary dataset. Engineering and FinOps teams can track usage bottlenecks, monitor query behavior, eliminate wasted credits, and avoid manual capacity planning without changing application code.

What Keebo does

Rightsize warehouse compute instances based on workload demandTune warehouse auto-suspend timings dynamicallyAudit Snowflake credit consumption across teamsMonitor Databricks serverless compute performanceDetect slow-running queries and compute bottlenecksTrack FinOps cloud spend metrics over timeAutomated warehouse rightsizing based on real query trafficOut-of-band architecture using metadata without intercepting SQLDynamic auto-suspend parameter adjustmentsQuery bottleneck and resource inefficiency reportingZero code change setup requiring no SDKs or proxiesSLA protection safeguards during compute scale-down

Pricing breakdown

Pricing model: Free

Frequently asked

SnowflakeSnowflakeDatabricksDatabricks

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Keebo, Snowflake tuning, Databricks tuning, warehouse rightsizing, FinOps, cloud compute costs, query performance, auto-suspend, data warehouse, compute management, metadata monitoring