lakeFS vs Project Nessie

lakeFS9.4Visit Project Nessie8.5Visit

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

Project Nessie #7 in Data Version Control Tools 8.5/10 Open source ✓ 2 of 2 features Visit Project Nessie

• lakeFS fits best

  Enterprise lakehouse and object-storage teams

• Project Nessie fits best

  Iceberg data-lake metadata versioning

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Side by side

Feature	lakeFS 9.4/10 Visit ↗	Project Nessie 8.5/10 Visit ↗
At a glance
Editor score	9.4	8.5
Ranking	#1 in Data Version Control Tools	#7 in Data Version Control Tools
Best for	Enterprise lakehouse and object-storage teams	Iceberg data-lake metadata 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	Web
Support	Community, Docs	Community, Docs
Integrations	20 integrations	6 integrations
Built for	Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features lakeFS 0/2 · Project Nessie 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	Git-like commits, branches, tags, hashes, and historical access Atomic transactions across multiple tables Integrates with Iceberg, Spark, Flink, Hive, and Trino
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	Focused on table metadata rather than broad data-asset versioning Self-hosted deployment requires infrastructure management Requires a bring-your-own version-store backend
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 →	Project Nessie is an open-source transactional catalog and data version-control service for data lakes. It is designed for teams managing Apache Iceberg tables and views that need Git-like commits, branches, tags, hashes, and historical… 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

• Project Nessie — where it wins

  • Git-like commits, branches, tags, hashes, and historical access
  • Atomic transactions across multiple tables
  • Integrates with Iceberg, Spark, Flink, Hive, and Trino

  Where it doesn't

  • Focused on table metadata rather than broad data-asset versioning
  • Self-hosted deployment requires infrastructure management
  • Requires a bring-your-own version-store backend

• 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 →
• Project Nessie8.5/10 · Open source

  A self-hosted catalog for branching, history, and transactions across Iceberg tables.

  Visit Project NessieFull verdict →