USE CASE

Stop flying blind on your Iceberg and Delta tables

Your Iceberg tables are accumulating snapshots that nobody knows about. Delta tables are writing thousands of JSON commits with no checkpoints. Orphaned files are silently growing your bill. reCost finds all of it , without touching your catalog or query engine.

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THE PROBLEM

Table health is invisible until it isn't

You can query your data. You can see your S3 costs in the AWS console. But you can't see:

  • Which Iceberg tables have expiry never configured
  • How many orphaned files exist on each table and how much they cost
  • Which Delta tables have thousands of JSON commits with no checkpoint
  • Which partitions haven't been accessed in 90+ days
  • How much manifest bloat is adding to every query plan
WHAT RECOST DOES

Object-level insight without catalog access

reCost reads your S3 inventory and access logs to reconstruct the health picture of every table , no catalog, no compute, no code changes.

  • Continuous snapshot monitoring per Iceberg table
  • Orphaned file detection with GB quantification
  • Delta transaction log depth and checkpoint gaps
  • Cold partition identification per table
  • Manifest GET overhead on every scan , quantified
RELEVANT FEATURES

Data Lake Health

Snapshot counts, orphaned files, manifest bloat, and small file accumulation per table, without touching your catalog or compute.

Query Engine Monitoring

Cold partition detection, stale result accumulation, and metadata overhead per Iceberg, Delta, or Hudi table.

Storage Intelligence

Largest tables by size, data temperature per prefix, storage class distribution, at the object level.

"We found 15.6 TB of orphaned files on a single Iceberg table. The table had 42,015 snapshots with no expiry policy."

Found during a standard first-scan onboarding. The team had no idea.

See exactly what's happening in your S3 data layer

Works with your existing AWS setup. Read-only access. No agents. No data exposure.

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