S3-native data lake observability for Iceberg, Delta Lake, and Apache Hudi. reCost reads S3 access logs and S3 Inventory to score table health, catch stale writers, and attribute storage and query cost to the table that caused it. No agents, no catalog access.
Tables silently degrade
Snapshots accumulate, manifests bloat, small files multiply. By the time queries slow, you've been bleeding cost for weeks.
Pipelines fail invisibly
Glue jobs report success but write zero rows. Firehose stops. Nobody notices until an analyst opens a stale dashboard.
Cost is unattributable
You see $40K in Athena scans but can't tell which table, query, or team caused it.
"We had 42,015 snapshots on a single Iceberg table. Expiry had never run. Query planning was costing us on every scan."
Staff Data Engineer
Fintech, Series C
How a Series C fintech discovered 15.6 TB of unreferenced Parquet files accumulating silently in their Apache Iceberg tables, and fixed it in a day.
5-minute setup. No agents. Works with your existing AWS stack.
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