Warehouse Optimization
What it does
Keebo is a fully automated Snowflake optimizer that provides cost reduction and performance tuning with dynamic adjustments. It helps data teams save time, boost performance, and save money with fully automated data warehouse and analytics optimizations. Keebo learns and adapts in real time to workload changes and can be set up in minutes, delivering results within 48 hours without requiring changes to the warehouse or applications.
How to use: Set up Keebo by granting it access to Snowflake's usage metadata fields. Keebo then automatically optimizes warehouse size, clustering, and memory. Configure it to your unique requirements, and monitor results in a KPI dashboard.
Core features
- ✦Fully automated data warehouse optimization
- ✦Query acceleration
- ✦Real-time workload adaptation
- ✦KPI dashboard for tracking savings and performance gains
Use cases
- →Reducing Snowflake costs by dynamically adjusting warehouse size and clustering
- →Improving dashboard performance by optimizing query execution
- →Freeing up data teams to focus on more strategic initiatives
Reviews
Big-picture takes: what it's for and whether it delivers. High-engagement videos from YouTube — not sponsored.
Warehouse Optimization Case Study
Associated · 40K views
Warehouse Process Improvement | 9 to 5 Seating Case Study | Raymond Warehouse Optimization
The Raymond Corporation · 13K views
Tutorials
Step-by-step: exactly how to get things done with it.
What is Warehouse Optimization? | Within 4 Walls Optimization in Warehouse by Alvis Lazarus
Supply Chain Way by Alvis Lazarus · 13K views