Passive Recs for Snowflake
Slingshot analyzes historical Snowflake cost and performance data to determine the optimal rightsizing schedule for your warehouses.
Passive Recs for Databricks
Slingshot uses Databricks System Tables to provide best-practice and insight-based optimizations, e.g. spot jobs with high memory/CPU.
Autonomous optimization
Our advanced ML models automatically train on your jobs to provide custom optimizations you can apply in a click, or automate for scale.
Continuous optimization
Slingshot continuously monitors and optimizes your data clouds to ensure configuration remains optimal, regardless of workload changes.
Query Advisor
Write more efficient queries. Query Advisor reviews and recommends cost and performance optimizations for Snowflake queries.
Additional features