Head-to-head · Data Version Control Tools
Oxen vs Graviti
Oxen leads on 1 check, Graviti on 0, and 3 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreOxen · 8.6/10
- Lowest starting priceOxen · $30/mo
- Free planboth
- Free trialonly Graviti
Oxen scores higher on our rubric for data version control tools: 8.6 against 7.8 out of 10; our editors rank them #6 and #14.
Oxen is cheaper to start at $30/mo against $200/mo.
Oxen is the better fit for ML teams versioning datasets and model assets. Graviti is the better fit for hosted teams managing visual datasets.
- Oxen fits best
ML teams versioning datasets and model assets
- Graviti fits best
Hosted teams managing visual datasets
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.
Side by side
| Feature | Oxen 8.6/10 Visit ↗ | Graviti 7.8/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.6 | 7.8 |
| Ranking | #6 in Data Version Control Tools | #14 in Data Version Control Tools |
| Best for | ML teams versioning datasets and model assets | Hosted teams managing visual datasets |
| Pricing model | Free plan + paid | Free plan + paid |
| Starting price | $30/mo (best) | $200/mo |
| Free plan | ✓ | ✓ |
| Free trial | — | 14 days |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Platforms | Web | Web |
| Support | Docs | Phone, Docs |
| Built for | Solo, Small business, Mid-market | Small business, Mid-market, Enterprise |
| Features Oxen 2/2 · Graviti 2/2 | ||
| Dataset branching | ✓ | ✓ |
| Point-in-time rollback | ✓ | ✓ |
| Specs | ||
| Data scope | Files_and_tables | Files_and_tables |
| Snapshot granularity | File_and_table | Not checked yet |
| Storage backend | Both | Both |
| Deployment model | Both | Both |
| Our review | ||
| Pros |
|
|
| Cons |
|
|
| Our verdict | Oxen is a data and AI platform for versioning datasets, model weights, prompts, traces, and other large files. It is aimed at engineers, researchers, creatives, and machine-learning teams that need repository-style history around data and… Read the review → |
Graviti is a data platform for AI developers and development teams managing unstructured datasets. It supports raw data, metadata, annotations, complex datasets, and authorized external cloud storage. Teams can organize dataset commits,… Read the review → |
Strengths and trade-offs
Oxen — where it wins
- Versions datasets, model weights, prompts, and traces
- Branches, commits, diffs, and rollback support reproducible workflows
- Python, CLI, HTTP API, and web access support varied workflows
Where it doesn't
- Named integrations are not a documented strength
- Explorer limits private repositories to 5
- Remote workspaces still center on Oxen's repository model
Graviti — where it wins
- Commits, tags, branches, rollback, and version history
- Visual comparison, raw-data views, and annotation visualization
- Python SDK, CLI, API access, and role-based controls
Where it doesn't
- Paid plans start at $200 per month
- Web and API are the listed platform options
- Workflow automation and customer success require Premium
- Oxen8.6/10 · Free plan
A focused version-control platform for datasets, model assets, and AI workflow files.
Visit OxenFull verdict → - Graviti7.8/10 · Free plan · 14-day trial
A hosted dataset control layer with strong versioning, visualization, and developer access.
Visit GravitiFull verdict →
More comparisons
- lakeFS vs Oxen
- Dolt vs Oxen
- DataLad vs Oxen
- git-annex vs Oxen
- Apache Paimon vs Oxen
- Oxen vs Project Nessie
- Oxen vs Apache Iceberg
All data version control tools comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update







