Then recommends exact clustering keys, with a clear forecast of expected cost and performance impact.
Eliminate guesswork with AI Auto-Clustering
Intelligent Auto-Cluster
Analyzes your Snowflake environment and evaluates auto-clustering the same way an experienced platform engineer would, at scale.
The Agent analyzes your tables natively inside Snowflake, validates column cardinality, tests key combinations, and recommends exactly which clustering keys will improve performance – along with projected costs and savings.
Know which tables deserve auto-clustering or not, which keys actually help, and how much it will cost before credits burn.
Seamless integration to your entire modern data stack
Seemore Auto-Clustering in Action
Efficiency Audit of Existing Clustered Tables
Reviews tables already using clustering keys to decide whether they still pay off.:
-
Confirms whether current clustering delivers measurable ROI.
-
Recommends specific replacement keys, with exact columns, to improve partition pruning based on real query filters.
-
Flags tables where clustering no longer makes sense and should be removed due to changed workload patterns.
Discovery of New Clustering Opportunities
Automatically finds unclustered tables and identifies high-value candidates by analyzing:
-
Table size and data growth
-
Real query filters and join patterns
-
Current pruning efficience
