Stop debugging pipelines from query logs
See every table, pipeline, and partition at the object level. Know what's healthy, what's degrading, and what went silent, before downstream jobs or users feel it.
Book a DemoData lake problems are invisible until it's too late
Silent pipelines
A writer stops. Nothing alerts. Downstream consumers read stale data for hours or days before someone notices a wrong number in a dashboard.
Metadata bloat
Iceberg and Delta tables accumulate thousands of snapshots and checkpoint files. Query performance degrades gradually. There's no view into the object layer to catch it early.
No object-level visibility
CloudWatch shows bucket sizes. Query engines show query results. Nobody shows you what's actually happening at the file level across your entire lakehouse.
Object-level visibility into every table and pipeline
reCost reads your S3 access logs and object metadata without touching your data. It builds a live picture of every table, writer, and partition across your lakehouse, so you can catch problems before they surface in production.
- Iceberg, Delta, and Hudi table health scored automatically
- Silent writer detection with last-write timestamp and row-count alerts
- Iceberg snapshot bloat and Delta _delta_log growth tracking
- Small file detection: flags partitions exceeding 10,000 files under 128 MB
- Per-table Athena and Spark query cost mapped to teams and pipelines
- Query engine observability: Athena, Glue, Spark, Trino
- Broken compaction and MOR compaction lag detection for Apache Hudi
We found 15.6 TB of orphaned files on a single table during our first scan. Our entire team had zero visibility into that before reCost.
Start with proof,
not a pitch.
Scoped read-only role, 30-day lookback, results in 48 hours.