Version-Control Your Iceberg Tables and Everything Around It

Turn your data lake into a versioned, collaborative platform.
 With lakeFS, you gain control over your Apache Iceberg tables and all surrounding data: structured, semi-structured, or unstructured.

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Environment-Wide Version Control:
Manage Multimodal and Multi Table Data Effectively

Managing multiple Iceberg tables or Iceberg tables along with unstructured data?
The lakeFS Iceberg REST Catalog brings Git-style versioning to your entire environment. While Iceberg offers table-level control, lakeFS introduces environment-wide control to your entire data lake.

Version-Controlled Data Development

Test changes across multiple tables without
impacting production
Merge safely using built-in conflict detection
Create isolated feature branches for cross-table changes

Collaborative Data Development

Enable multiple teams to develop in parallel
without stepping on each others’ toes
Build CI/CD-style workflows for Iceberg data,
automating data validation
Collaborate using pull requests on changes
to data and schema

Automate Data Contracts Enforcement with Hooks

Validate schemas, partitions, and data
correctness before committing, catching issues early
Prevent downstream failures with custom
pre-commit hooks
Ensure referential integrity across multiple
Iceberg tables

Reproducibility at Scale

lakeFS tags capture the entire state of your
environment – not just individual tables
Anchor ML experiments to concrete data
versions
Roll back mistakes instantly, across tables
and datasets
Navigate your data lake’s full version history
with confidence

Manage and Govern Access to Data

Use detailed commit logs to track who
changed what and when
Enforce fine-grained access control
with RBAC policies
Recover quickly by rolling back commits
atomically and safely