lakeFS vs Apache Iceberg

lakeFS9.4Visit Apache Iceberg8.4Visit

Higher score lakeFS #1 in Data Version Control Tools 9.4/10 Free plan · pricing on request · 15-day trial Free planFree trial✓ 0 of 2 features Visit lakeFS

vs

Apache Iceberg #8 in Data Version Control Tools 8.4/10 Open source ✓ 2 of 2 features Visit Apache Iceberg

• lakeFS fits best

  Enterprise lakehouse and object-storage teams

• Apache Iceberg fits best

  Open table-format versioning

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Side by side

Feature	lakeFS 9.4/10 Visit ↗	Apache Iceberg 8.4/10 Visit ↗
At a glance
Editor score	9.4	8.4
Ranking	#1 in Data Version Control Tools	#8 in Data Version Control Tools
Best for	Enterprise lakehouse and object-storage teams	Open table-format versioning
Pricing model	Free plan + paid	Free
Starting price	—	Open source
Free plan	✓ (best)	Not checked yet
Free trial	15 days	—
Deployment	Cloud, Self-hosted	Self-hosted
Platforms	Web	Windows, macOS, Linux
Support	Community, Docs	Community, Docs
Integrations	20 integrations	6 integrations
Built for	Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features lakeFS 0/2 · Apache Iceberg 2/2
Dataset branching	Not checked yet	✓ (best)
Point-in-time rollback	Not checked yet	✓ (best)
Specs
Data scope	Not checked yet	Tables
Snapshot granularity	Not checked yet	Table
Storage backend	Not checked yet	Bring_your_own
Deployment model	Not checked yet	Self_hosted
Our review
Pros	Zero-copy branching, atomic merges, rollbacks, and version history Works across Iceberg, Delta Lake, structured, and unstructured data Hybrid deployment with broad integrations and governance controls	Free open-source snapshots, time travel, rollback, branches, and tags Schema and partition evolution without rewriting table data Broad support for Spark, Flink, Hive, Trino, Presto, and Impala
Cons	Enterprise pricing uses a contact-sales model The 15-day trial applies to Enterprise, not the permanent Community edition Advanced features such as RBAC and Metadata Search are Enterprise highlights	Self-hosted deployment requires teams to manage storage and catalog backends Focused on table-format infrastructure rather than a hosted SaaS workspace Concurrency and metadata maintenance require operational data-platform ownership
Our verdict	lakeFS is an open-source and commercial data version-control platform for data, AI, and ML teams. It adds Git-like branches, commits, merges, tags, rollbacks, audit trails, lineage, and zero-copy data environments to object storage. The… Read the review →	Apache Iceberg is an open table format for large analytic datasets, aimed at data teams building lakehouse and analytic-table infrastructure. It manages table metadata, schemas, partitions, data files, and snapshots while allowing… Read the review →

Strengths and trade-offs

• lakeFS — where it wins

  • Zero-copy branching, atomic merges, rollbacks, and version history
  • Works across Iceberg, Delta Lake, structured, and unstructured data
  • Hybrid deployment with broad integrations and governance controls

  Where it doesn't

  • Enterprise pricing uses a contact-sales model
  • The 15-day trial applies to Enterprise, not the permanent Community edition
  • Advanced features such as RBAC and Metadata Search are Enterprise highlights

• Apache Iceberg — where it wins

  • Free open-source snapshots, time travel, rollback, branches, and tags
  • Schema and partition evolution without rewriting table data
  • Broad support for Spark, Flink, Hive, Trino, Presto, and Impala

  Where it doesn't

  • Self-hosted deployment requires teams to manage storage and catalog backends
  • Focused on table-format infrastructure rather than a hosted SaaS workspace
  • Concurrency and metadata maintenance require operational data-platform ownership

• lakeFS9.4/10 · Free plan · pricing on request · 15-day trial

  Open-source, Git-like version control for governed data on object storage.

  Visit lakeFSFull verdict →
• Apache Iceberg8.4/10 · Open source

  A capable open table format for teams managing versioned analytic datasets.

  Visit Apache IcebergFull verdict →