lakeFS vs Apache Paimon

lakeFS9.4Visit Apache Paimon8.7Visit

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 Paimon #5 in Data Version Control Tools 8.7/10 Free plan Free plan✓ 2 of 2 features Visit Apache Paimon

• lakeFS fits best

  Enterprise lakehouse and object-storage teams

• Apache Paimon fits best

  Streaming table and CDC pipelines

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Side by side

Feature	lakeFS 9.4/10 Visit ↗	Apache Paimon 8.7/10 Visit ↗
At a glance
Editor score	9.4	8.7
Ranking	#1 in Data Version Control Tools	#5 in Data Version Control Tools
Best for	Enterprise lakehouse and object-storage teams	Streaming table and CDC pipelines
Pricing model	Free plan + paid	Free
Starting price	—	Free plan
Free plan	✓	✓
Free trial	15 days	—
Deployment	Cloud, Self-hosted	Self-hosted
Support	Community, Docs	Community, Docs
Integrations	20 integrations	8 integrations
Built for	Mid-market, Enterprise	Mid-market, Enterprise
Features lakeFS 0/2 · Apache Paimon 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	Snapshots, branches, tags, time travel, and rollback support Streaming reads and writes with CDC ingestion pipelines Integrates with Flink, Spark, Hive, Trino, and more
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 you to manage the environment Storage is bring-your-own rather than bundled Java and Python are the listed API languages
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 Paimon is an open-source lake format from the Apache Software Foundation for teams building realtime lakehouse architectures around tables. It supports append and primary-key tables, organizing data with schemas, snapshots,… 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 Paimon — where it wins

  • Snapshots, branches, tags, time travel, and rollback support
  • Streaming reads and writes with CDC ingestion pipelines
  • Integrates with Flink, Spark, Hive, Trino, and more

  Where it doesn't

  • Self-hosted deployment requires you to manage the environment
  • Storage is bring-your-own rather than bundled
  • Java and Python are the listed API languages

• 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 Paimon8.7/10 · Free plan

  A flexible open-source choice for streaming tables, CDC pipelines, and lakehouse architectures.

  Visit Apache PaimonFull verdict →