The Best Data Version Control Tools in 2026
We researched data version control tools through official websites, including pricing pages, plan tables, and product documentation. Rankings focus on dataset tracking, branching, reproducibility, rollback, verified features, and value for money when choosing data version control tools.
Our top picks
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Top ranked
lakeFS#1 of 369.4/10Open-source, Git-like version control for governed data on object storage.
Free plan · pricing on request · 15-day trial
-
Runner-up
Dolt#2 of 369.2/10Git-style table versioning with MySQL compatibility and open-source deployment.
Free plan
-
Top-ranked free plan
DataLad#3 of 369.0/10A free, technical toolkit for versioning, reproducing, and synchronizing large file datasets.
Free plan
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
The full ranking 36 tools, best first
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Best forEnterprise lakehouse and object-storage teams
Open-source, Git-like version control for governed data on object storage.
Free plan · pricing on request · 15-day trial Our lakeFS verdict → Visit lakeFSFor vendors Sponsor this spot · #1 · $149/mo →9.4/10★★★★★Visit lakeFS -
Best forTeams versioning SQL database tables
Git-style table versioning with MySQL compatibility and open-source deployment.
- Dataset branching
- Point-in-time rollback
9.2/10★★★★★Visit Dolt -
Best forResearchers versioning large file datasets
A free, technical toolkit for versioning, reproducing, and synchronizing large file datasets.
- Dataset branching
- Point-in-time rollback
9.0/10★★★★☆Visit DataLad -
Best forDistributed large-file repositories
A focused, open-source choice for distributed large-file repositories.
- Dataset branching
- Point-in-time rollback
8.8/10★★★★☆Visit git-annex -
Best forStreaming table and CDC pipelines
A flexible open-source choice for streaming tables, CDC pipelines, and lakehouse architectures.
- Dataset branching
- Point-in-time rollback
8.7/10★★★★☆Visit Apache Paimon -
Best forML teams versioning datasets and model assets
A focused version-control platform for datasets, model assets, and AI workflow files.
- Dataset branching
- Point-in-time rollback
8.6/10★★★★☆Visit Oxen -
Best forIceberg data-lake metadata versioning
A self-hosted catalog for branching, history, and transactions across Iceberg tables.
- Dataset branching
- Point-in-time rollback
8.5/10★★★★☆Visit Project Nessie -
Best forOpen table-format versioning
A capable open table format for teams managing versioned analytic datasets.
- Dataset branching
- Point-in-time rollback
8.4/10★★★★☆Visit Apache Iceberg -
Best forTransactional lakehouse table teams
A free, open table format for teams managing transactional lakehouse workloads.
- Point-in-time rollback
8.3/10★★★★☆Visit Delta Lake -
Best forTeams versioning data and transformation pipelines
A broad data versioning platform for teams managing pipelines, lineage, and rollback.
- Dataset branching
- Point-in-time rollback
8.2/10★★★★☆Visit Nile -
Best forCloud teams building immutable data pipelines
A strong fit for teams building immutable, traceable data pipelines in the cloud.
8.1/10★★★★☆Visit DataChain -
Best forMultimodal and vector data teams
A self-hosted, open-source foundation for versioned multimodal and vector data.
- Dataset branching
- Point-in-time rollback
8.0/10★★★★☆Visit Lance -
Best forGIS and geospatial dataset teams
A specialized open-source choice for versioning spatial and tabular datasets.
- Dataset branching
- Point-in-time rollback
7.9/10★★★★☆Visit Koordinates -
Best forHosted teams managing visual datasets
A hosted dataset control layer with strong versioning, visualization, and developer access.
- Dataset branching
- Point-in-time rollback
7.8/10★★★★☆Visit Graviti -
Best forVersioned graph and semantic data
A strong fit for versioned semantic graphs, with flexible querying and branching built in.
7.7/10★★★★☆Visit TerminusDB -
Best forStreaming lakehouse table pipelines
A focused, self-hosted table platform for streaming and CDC lakehouse pipelines.
7.6/10★★★★☆Visit Apache Hudi -
Best forML teams needing DVC plus experiment tracking
DagsHub combines DVC data versioning with experiment tracking, artifacts, and model management.
7.5/10★★★★☆Visit DagsHub -
Best forML teams needing low-cost lifecycle tooling
Broad ML lifecycle coverage with data versioning, experiment tracking, and deployment tools.
7.4/10★★★★☆Visit ClearML -
Best forML teams versioning artifacts and datasets
A broad ML platform with free artifact versioning and a $60 monthly Pro tier.
7.3/10★★★★☆Try Weights & Biases -
Best forIceberg pipeline teams needing data branches
A strong fit for Iceberg teams that need Git-style data branches and transactional updates.
7.2/10★★★★☆Visit Bauplan -
Best forTeams needing temporal database history
A strong open-source choice for teams that need queryable database history.
- Point-in-time rollback
7.1/10★★★★☆Visit XTDB -
Best forOrganizations managing governed S3 data packages
Governed S3 data packages with version history, provenance, rollback, and cataloging.
- Dataset branching
- Point-in-time rollback
7.0/10★★★★☆Visit Quilt -
Best forML practitioners sharing versioned files
A focused Hub for versioning, sharing, and collaborating on ML files and assets.
- Dataset branching
- Point-in-time rollback
6.9/10★★★☆☆Visit Hugging Face -
Best forTeams needing versioned analytical assets
A broad data platform with versioning, time travel, cataloging, and serverless analytics.
6.8/10★★★☆☆Visit TileDB Cloud -
Best forDatabricks teams branching Postgres databases
A focused cloud Postgres choice for Databricks teams that need database branching.
- Dataset branching
- Point-in-time rollback
6.7/10★★★☆☆Visit Databricks -
Best forDevelopers needing low-cost managed Postgres branches
A low-cost managed PostgreSQL service with database branching and restore controls.
6.6/10★★★☆☆Visit Neon -
Best forProduction database teams needing branches
A paid managed database platform built for branching, recovery, and relational scale.
6.5/10★★★☆☆Visit PlanetScale -
Best forNeuroscience and 3D volume repositories
A specialized self-hosted repository for versioned imaging and neuroscience data.
- Dataset branching
6.4/10★★★☆☆Visit DVID -
Best forResearch repositories and published datasets
A strong fit for publishing and preserving research datasets, but not for branch-based workflows.
- Point-in-time rollback
6.3/10★★★☆☆Visit Dataverse -
Best forResearch teams with instrument data lineage
A lineage-focused data layer for research teams managing instrument-generated datasets.
6.1/10★★★☆☆Visit Carbon -
Best forML teams tracking experiment artifacts
A focused experiment logger for ML teams, not a complete dataset version-control system.
6.0/10★★★☆☆Visit DVCLive -
Best forPython pipeline teams with basic versioning
A code-first framework for versioned, validated, and traceable Python pipelines.
5.9/10★★★☆☆Visit Kedro -
Best forComputer-vision teams managing annotated datasets
A capable computer-vision workspace where dataset versioning supports broader annotation workflows.
5.8/10★★★☆☆Visit Roboflow -
Best forSnowflake notebook development teams
A governed notebook workspace for Snowflake teams, with Git history but no dedicated dataset versioning.
5.5/10★★★☆☆Visit Snowflake -
Best forTeams focused on metadata lineage
A strong metadata lineage catalog, but not a verified dataset version control tool.
5.4/10★★★☆☆Visit data.world -
Best forTeams verifying multimodal content
A verification platform for multimodal fact checking, not traditional data version control.
5.3/10★★★☆☆Visit Crowdee
No tools match those filters.
Compare at a glance
| # | Tool | Free plan | Paid from | Data scope | Snapshot granularity | Score |
|---|---|---|---|---|---|---|
| 1 | lakeFS | Yes | 9.4 | |||
| 2 | Dolt | Yes | Free | Tables | Table | 9.2 |
| 3 | DataLad | Yes | Free | Files | File | 9.0 |
| 4 | git-annex | Free | Files | File | 8.8 | |
| 5 | Apache Paimon | Yes | Free | Tables | Table | 8.7 |
| 6 | Oxen | Yes | $30/mo | Files_and_tables | File_and_table | 8.6 |
| 7 | Project Nessie | Free | Tables | Table | 8.5 | |
| 8 | Apache Iceberg | Free | Tables | Table | 8.4 | |
| 9 | Delta Lake | Yes | Free | Tables | Table | 8.3 |
| 10 | Nile | Yes | Tables | Table | 8.2 | |
| 11 | DataChain | Yes | Files_and_tables | File_and_table | 8.1 | |
| 12 | Lance | Free | Files_and_tables | Table | 8.0 | |
| 13 | Kart | Free | Files_and_tables | File_and_table | 7.9 | |
| 14 | Graviti | Yes | $200/mo | Files_and_tables | 7.8 | |
| 15 | TerminusDB | Yes | Free | 7.7 | ||
| 16 | Apache Hudi | Free | 7.6 | |||
| 17 | DagsHub | Yes | $99/user/mo | 7.5 | ||
| 18 | ClearML | Yes | $15/user/mo | 7.4 | ||
| 19 | Weights & Biases | Yes | $60/mo | 7.3 | ||
| 20 | Bauplan | Yes | $700/mo | 7.2 | ||
| 21 | XTDB | Yes | Free | Tables | Table | 7.1 |
| 22 | Quilt | No | $312.50/unit/mo | Files | File | 7.0 |
| 23 | Hugging Face Hub | Yes | $9/mo | Files | File | 6.9 |
| 24 | TileDB Cloud | Yes | Files_and_tables | 6.8 | ||
| 25 | Databricks Lakebase | No | Tables | Table | 6.7 | |
| 26 | Neon | Yes | $0.11/mo | 6.6 | ||
| 27 | PlanetScale | No | $5/mo | 6.5 | ||
| 28 | DVID | Free | Files | File | 6.4 | |
| 29 | Dataverse | Free | Files_and_tables | File_and_table | 6.3 | |
| 30 | Carbon Data Layer | Files_and_tables | File_and_table | 6.1 | ||
| 31 | DVCLive | Yes | Free | 6.0 | ||
| 32 | Kedro | Yes | Free | 5.9 | ||
| 33 | Roboflow | Yes | $79/mo | 5.8 | ||
| 34 | Snowflake Notebooks | 5.5 | ||||
| 35 | data.world Data Catalog | 5.4 | ||||
| 36 | Crowdee | Yes | €0.05/unit usage-based | 5.3 |
Head-to-head All 28 comparisons →
- lakeFS vs Dolt
- lakeFS vs DataLad
- lakeFS vs git-annex
- lakeFS vs Apache Paimon
- lakeFS vs Oxen
- lakeFS vs Project Nessie
- lakeFS vs Apache Iceberg
- Dolt vs DataLad
- Dolt vs git-annex
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How we rank data version control tools
Every tool on this page was researched by iTechGuides Editors from its official website — pricing pages, plan tables and product documentation. We rank on how well each one does this category's core job, what the free or entry plan includes, and where it falls short. Where we have enough verified facts, the score out of 10 is a rubric — job fit, value and how much we could verify — shown with its breakdown on every tool's page; a tool we have not verified enough to score yet shows its rank without a number. Scores are re-checked when a product changes its plans. Read the full editorial policy, or submit a tool we missed.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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