The Operating System for Data Platform Efficiency

Keebo unifies autonomous optimization and workload intelligence to help data teams scale performance, control costs, and move faster.

Keebo helps enterprises improve their Snowflake credit utilization.

Everything You Need to Improve Data Platform Efficiency

From autonomous optimization to deep workload visibility, Keebo helps you run faster and more efficiently.

Data Cloud Optimization

Keebo Warehouse Optimization

Autonomous cloud data warehouse optimization.

  • Requires no manual intervention or query rewriting
  • Continuously tunes warehouses based on workload patterns
  • Controls compute costs without sacrificing performance
  • Operates within your SLAs and guardrails
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Keebo Workload Intelligence

Deep visibility into how your data platform actually runs.

  • Make smarter decisions with complete transparency
  • Understand query behavior, bottlenecks, and inefficiencies
  • Identify high-impact optimization opportunities instantly
  • Align data and FinOps teams with shared insights

How Keebo Keeps Your Environment Safe

Keebo’s security architecture is built on fundamental principles that protect your data at every level.

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Metadata Only Access

Keebo processes metadata in‑memory and never stores query results or sensitive data.

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Restricted Permissions

Uses a dedicated user and role with strict, limited access to only necessary Snowflake or Databricks metadata.

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Encrypted Connections

Every connection to Snowflake and Databricks is fully encrypted to protect your environment at all times.

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Private Network Connectivity

Support for AWS PrivateLink, GCP Private Service Connect, and Azure PrivateLink connections to your environment

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Strict Access Controls

Firewall-protected with IP whitelisting — only your domains can connect to our infrastructure.

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Dedicated Infrastructure

Your own Kubernetes cluster with isolated resources — no shared infrastructure with other customers.

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Trusted by Modern Data Teams

Trusted by Modern Data Teams

Frequently Asked Questions

Keebo autonomously adjusts warehouse configuration in response to your real workload, so you run the right amount of compute at any moment. It operates on metadata only and operates outside the query path.

Keebo Warehouse Optimization acts on your warehouse, autonomously rightsizing compute to cut waste while holding SLA performance. Keebo Workload Intelligence analyzes queries and workloads to surface prioritized recommendations, health metrics, and savings opportunities you choose how to act on.

Yes. Keebo optimizes across multiple warehouses and teams, and can apply different settings to each so per-workload governance and performance requirements are respected.

Very little. Once configured, Keebo runs continuously on its own, learning your workload and adjusting in real time, so your team is freed from tuning cycles rather than tied to a new one.

Keebo accesses metadata only: schema, table names, and query performance statistics. It never sees query results, raw data, or PII, and all query processing stays inside your warehouse.

Setup takes about 30 minutes. Keebo connects to your warehouse and begins learning your workload right away, with no agents to deploy or infrastructure to change.

Yes. Because Keebo operates on your warehouse through metadata, it’s designed to be independent of the underlying cloud, making it compatible with AWS, Azure, and GCP. PrivateLink support is also available for AWS and Azure.  

Keebo’s optimization is built on its patented data learning technology, which models how users and applications interact with the data cloud to optimize performance and cost autonomously. 

Take Control of Data Platform Efficiency