Graviti
Data version control and management for unstructured AI data
At a glance
- Editor score10.0 / 10
- PricingFree plan · paid from $200/mo · 14-day trial
- Best forHosted teams managing visual datasets
- Free planYes
- Paid from$200/mo
- Data scopeFiles_and_tables
- Facts checked22 Sep 2026
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
Our verdict on Graviti
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, tags, branches, branch-based drafts, previous versions, and rollback workflows while viewing raw data and annotations online. Role-based access controls support collaboration, and integrations include PaddlePaddle, PyTorch, and TensorFlow.
The plan structure gives smaller teams a way to start without a subscription. Starter is free and includes data versioning, data visualization, and 20GB of free data transfer. Standard costs $200 per month and adds unlimited seats, RBAC, a Python SDK, CLI access, and API access. Premium costs $800 per month and adds unlimited seats, diff of any version, workflow automation, and customer success. A 14-day free trial is also available. The pricing model suits teams that want to evaluate core dataset workflows before adopting paid collaboration and developer features.
Graviti’s strongest fit is visual dataset management where version history, branching, comparisons, hosted storage, and access control need to work together. Commit-triggered or manually triggered workflow automation gives Premium users a way to connect dataset changes with operational processes. The platform is listed for web and API access, with SDK, CLI, and OpenAPI developer tools for programmatic workflows. Teams seeking a hosted workspace for AI datasets should consider Graviti, especially when visualization and version control matter together. Teams needing broader platform coverage than web and API, or seeking a lower-cost paid tier, should consider alternatives.
Graviti pricing
All 3 Graviti plans and prices →
Graviti fact sheet
| Free plan | Yes |
|---|---|
| Paid from | $200/mo |
| Data scope | Files_and_tables |
| Dataset branching | Yes |
| Point-in-time rollback | Yes |
| Snapshot granularity | Not verified |
| Storage backend | Both |
| Deployment model | Both |
| Free trial | 14 days |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Compliance & security | GDPR |
| Support | Phone, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 3 integrations: PaddlePaddle, PyTorch, TensorFlow |
| Pricing | Free plan · paid from $200/mo · 14-day trial (source) |
| Website | graviti.com |
| Facts checked | 22 Sep 2026 |
Graviti integrations
Graviti lists 3 integrations on its own site.
- PaddlePaddle
- PyTorch
- TensorFlow
Alternatives to Graviti
- lakeFSOpen-source, Git-like version control for governed data on object storage.5.0
- DoltGit-style table versioning with MySQL compatibility and open-source deployment.—
- DataLadA free, technical toolkit for versioning, reproducing, and synchronizing large file datasets.—
See all Graviti alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026
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