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Head-to-head · Data Version Control Tools

DataLad vs Graviti

  • Updated Oct 2026
  • Both researched from official sources
  • 3 checks side by side
Higher score DataLad #3 in Data Version Control Tools 9.0/10 Free plan Free plan✓ 2 of 2 features Visit DataLad
Graviti #14 in Data Version Control Tools 7.8/10 Free plan · 14-day trial Free planFree trial✓ 2 of 2 features Visit Graviti

DataLad leads on 0 checks, Graviti on 0, and 3 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreDataLad · 9.0/10
  • Free planboth
  • Free trialonly Graviti

DataLad scores higher on our rubric for data version control tools: 9.0 against 7.8 out of 10; our editors rank them #3 and #14.

On data scope, Graviti gives you Files_and_tables where DataLad offers Files. On storage backend, Graviti gives you Both where DataLad offers Bring_your_own. On deployment model, Graviti gives you Both where DataLad offers Self_hosted.

DataLad is the better fit for researchers versioning large file datasets. Graviti is the better fit for hosted teams managing visual datasets.

  • DataLad fits best

    Researchers versioning large file datasets

  • Graviti fits best

    Hosted teams managing visual datasets

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Side by side

Feature DataLad 9.0/10 Visit ↗ Graviti 7.8/10 Visit ↗
At a glance
Editor score 9.0 7.8
Ranking #3 in Data Version Control Tools #14 in Data Version Control Tools
Best for Researchers versioning large file datasets Hosted teams managing visual datasets
Pricing model Free Free plan + paid
Starting price Free plan $200/mo
Free plan ✓ ✓
Free trial — 14 days
Deployment Self-hosted Cloud, Self-hosted
Platforms Windows, macOS, Linux Web
Support Community, Docs Phone, Docs
Integrations 5 integrations 3 integrations
Built for Solo, Small business, Mid-market Small business, Mid-market, Enterprise
Features DataLad 2/2 · Graviti 2/2
Dataset branching ✓ ✓
Point-in-time rollback ✓ ✓
Specs
Data scope Files Files_and_tables
Snapshot granularity File Not checked yet
Storage backend Bring_your_own Both
Deployment model Self_hosted Both
Our review
Pros
  • Versions arbitrarily large files with branching and rollback
  • Captures provenance and supports reproducible command execution
  • Connects datasets with GitHub, Figshare, Dropbox, Amazon S3, and OSF
  • Commits, tags, branches, rollback, and version history
  • Visual comparison, raw-data views, and annotation visualization
  • Python SDK, CLI, API access, and role-based controls
Cons
  • Uses a self-hosted deployment model
  • Storage depends on user-configured siblings or special remotes
  • The workflow centers on Git and git-annex dataset management
  • Paid plans start at $200 per month
  • Web and API are the listed platform options
  • Workflow automation and customer success require Premium
Our verdict

DataLad is a free, open-source, Python-based tool for managing and versioning datasets. Built on Git and git-annex, it tracks file changes, supports arbitrarily large files, and helps researchers and technical teams work with…

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 →
  1. DataLadData Version Control Tools 9.0Free plan
  2. GravitiData Version Control Tools 7.8Free plan · 14-day trial

Strengths and trade-offs

  • DataLad — where it wins

    • Versions arbitrarily large files with branching and rollback
    • Captures provenance and supports reproducible command execution
    • Connects datasets with GitHub, Figshare, Dropbox, Amazon S3, and OSF

    Where it doesn't

    • Uses a self-hosted deployment model
    • Storage depends on user-configured siblings or special remotes
    • The workflow centers on Git and git-annex dataset management

  • 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
  • DataLad9.0/10 · Free plan

    A free, technical toolkit for versioning, reproducing, and synchronizing large file datasets.

    Visit DataLadFull 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

All data version control tools comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update