Keebo Workload Intelligence
Continuously identify inefficiencies, optimize SQL workloads, and reduce cloud spend without risking performance.

“Recently, our analysts were running queries that were not optimal, and thanks to Keebo, we were able to find the queries and fix them quickly with minimal data engineering effort.”
Sean Cooperman, Director of Data Engineering
Sightline Payments
Actionable Insights for Smarter Optimization
Keebo Workload Intelligence is the FinOps and observability layer of the Keebo platform, analyzing warehouse, compute, query, and storage health to uncover inefficiencies and performance bottlenecks.
Reduce Costs

Identify and eliminate wasted spend with precision.
- Reduce compute costs
- Optimize storage configurations
- Eliminate unused resources
Optimize Performance

Improve query performance and warehouse efficiency.
- Reduce query latency
- Balance workloads across warehouses
- Prevent resource bottlenecks
Improve Governance

Enhance data management and compliance.
- Identify unused and unread tables
- Optimize storage retention policies
- Implement data lifecycle management
How Keebo Workload Intelligence Works
Analyze
Continuously evaluates resource utilization patterns.
Discover
Detects inefficiencies such as unused resources and inefficient queries.
Optimize
Get prioritized, actionable recommendations that your team can implement with confidence.

Built for FinOps and Data Teams
Reduce cloud spend, maintain performance, and improve governance with actionable workload intelligence.
FinOps Teams
- Attribute Snowflake spend to workloads, teams, and business units
- Identify inefficiencies and unlock measurable cost savings
- Forecast and control usage with greater confidence
Data Teams
- Analyze trends and workload efficiency
- Identify and fix inefficient or underperforming queries
- Optimize storage configurations and eliminate unused resources
FAQ
Workload intelligence is the analysis of query, compute, and storage activity to identify inefficiencies, optimize performance, and reduce cloud data warehouse costs. It helps teams understand how workloads impact spend and performance across platforms like Snowflake.
Native tools provide basic metrics and monitoring, but often lack actionable insights. Keebo goes further by delivering prioritized recommendations, query-level optimization guidance, and clear savings projections.
Yes. Keebo identifies slow or inefficient queries and provides optimization recommendations that can improve performance by 3 to 10 times in many cases.
No. Keebo provides actionable recommendations that teams can review and implement, making it ideal for organizations that want control and transparency before adopting automation.