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.
Built on Patented Data Learning Technology
Keebo’s patented algorithm powers intelligent, automated tuning for data clouds. It continuously analyzes how users and applications interact with data in the cloud, then applies those insights to automate the most tedious aspects of data management. Instead of manually managing infrastructure, teams can stay focused on driving insight and impact.
At its core Keebo is a simple, self-improving loop:
Observe usage → Learn patterns → Optimize automatically
Everything You Need to Improve Data Platform Efficiency
Start with either product. Together, they find and fix inefficiencies across your data platform.
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
Best for: Teams ready to automate ongoing warehouse tuning.
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
Best for: Teams that want insight before automation.
How Keebo Protects Your Environment
Keebo’s security architecture is built on fundamental principles that protect your data at ever level.
Metadata Only Access
Keebo processes metadata in memory. It never stores query results or sensitive data.
Restricted Permissions
A dedicated user and role limit Keebo to the Snowflake or Databricks metadata it needs.
Encrypted Connections
Every connection to Snowflake and Databricks is fully encrypted to protect your environment at all times.
Private Network Connectivity
Connect privately through AWS PrivateLink, Azure Private Link, or Google Cloud Private Service Connect.
IP Allowlisting
Firewall rules and IP allowlisting ensure only your approved domains can connect.
Dedicated Infrastructure
Each customer runs on an isolated Kubernetes cluster. No infrastructure is shared between customers.
SOC 2 Type II Certified
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.