Under the hood
Smart scheduling
Maintenance jobs are automatically scheduled, running at the optimal time to boost query performance.
Fine-tuned for every table
Tables are automatically optimized based on write and read patterns.
Commit-conflict resolution
Detects conflict-prone tables and tweaks compaction on the fly.
Batch Processing
Streaming
CDC
High Throughput
Thousands of Tables
Multiple query engines
Unified Visibility
Cross-engine view
View usage from all query engines in one place. Understand how data is created and used across Spark, Trino, Snowflake, and more.
Column usage
Know exactly which columns are used, how often, and by whom. Cut dead weight, tighten schemas, and boost performance.
Storage visibility
Get a granular view on your partitions, data files and metadata. See which tables have skewed partitions, bloated snapshots and exploding metadata.
Query explorer
Search and filter queries across engines. See who’s running what, and quickly spot issues or tuning opportunities.
Automatic Insights
Get instant insights into your Iceberg table layout - spot small files, partition skew, sort order issues, and more, without manual digging.
Unused Assets
Find tables, columns and snapshots no one uses. Cut clutter, lower costs, and reduce compliance risk.
