Keebo Workload Intelligence
SQL Optimization
AI insights surface waste—identify ~18% additional savings (avg) and speed up queries 3-10x on Snowflake & Databricks.
What is Keebo Workload Intelligence?
Keebo Workload Intelligence is the FinOps & observability module of the Keebo platform that analyzes warehouse, compute, query, and storage health to uncover inefficiencies and performance bottlenecks—surfacing ~18% additional savings opportunities with clear, prioritized recommendations.
Analyze Patterns
Gain deep insights into workload patterns with AI analysis:
Discover Waste
Surface inefficiencies across all workloads with AI-powered discovery:
Prioritize Fixes
Get prioritized, actionable recommendations with savings projections:
Actionable Insights for FinOps and Data Teams
Deep insights across every aspect of your environment
Spend Analytics
Warehouse Health
Query Health
Data Health
Storage Optimization
Optimization Recommendations
Drive warehouse and data efficiency with prescriptive guidance.
360 Health Diagnostics
Monitor warehouse utilization and identify performance bottlenecks.
Performance Monitoring
Track key performance metrics to ensure optimal warehouse operation.
Cost Attribution & Chargeback
Attribute Snowflake costs to specific workloads, departments, or business units for accurate chargeback and showback.
Workload Intelligence
Drive accountability, reduce operational costs, and increase resource efficiency
Query Performance Intelligence
Pinpoint inefficient, expensive and wasteful queries
Keebo Workload Intelligence in Action
Real-world applications that deliver measurable results
Cost Reduction
Identify and eliminate wasted spend with precision.
Performance Optimization
Improve query performance and warehouse efficiency.
Improved Governance
Enhance data management and compliance.
Ready to Transform Your Data Operations?
Frequently Asked Questions
Yes. Keebo allows users to monitor usage in Snowflake by tracking query performance, user activity, and resource consumption in real time. This visibility helps data teams detect inefficiencies and optimise their Snowflake workloads effectively.
Automated query optimisation ensures consistent, accurate performance improvements without requiring constant manual tuning. It helps prevent slow queries, lowers compute costs, and allows engineers and analysts to focus on strategic data initiatives instead of maintenance.
Query optimization analyses how queries are executed and restructures them for greater efficiency. In Snowflake, this means better resource allocation, reduced execution times, and more predictable performance across workloads all leading to lower operating costs.
No. Keebo is designed to be user-friendly. It automatically identifies performance bottlenecks and suggests improvements, so both technical and non-technical users can benefit from SQL optimisation without deep database expertise.
Keebo continuously monitors workloads in real time. The platform detects changing data patterns and automatically adapts optimisation strategies to maintain peak performance, even as workloads evolve.