Software · head to head
Domino Data Lab vs DVC
The short version
- Each has a real cost: Domino Data Lab pricing is by quote only: the pricing page publishes no rate and no minimum, and the tier breakdown is behind a downloadable datasheet form; DVC dVC is Apache 2.0 licensed open source with no enterprise tier or paid support offering documented in the project itself; teams needing SLA-backed support get nothing from the DVC project directly.
- They diverge on capability: Domino Data Lab covers Reproducible environments, DVC covers Data versioning.
Where they differ
Only the attributes on which Domino Data Lab and DVC actually diverge.
| Attribute | Domino Data Lab | DVC |
|---|---|---|
| Pricing model | subscription | open-source |
| Platforms | Web | Linux, Mac, Windows |
| Founded | 2013 | 2018 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Domino Data Lab
- Reproducible environments
- Model registry
- Model monitoring
- Collaboration
- Governance
- AWS
- Azure
- GCP
Only in DVC
- Data versioning
- Pipeline management
- Experiment tracking
- Remote storage
- Git integration
- S3
- Azure Blob
- Google Cloud Storage
Both cover
- Git
What people use each for
The jobs each tool is most often brought in to do.
Domino Data Lab
- Running reproducible data science workspaces and experiments on shared computenot DVC
- Deploying and monitoring models with governance controlsnot DVC
- Giving regulated enterprises a self managed MLOps platformnot DVC
DVC
- Machine learningnot Domino Data Lab
- Data analysisnot Domino Data Lab
- Model trainingnot Domino Data Lab
- Predictive analyticsnot Domino Data Lab
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Domino Data Lab
- Pricing is by quote only: the pricing page publishes no rate and no minimum, and the tier breakdown is behind a downloadable datasheet form
- Licensing is split by user type, with separate data science professional, data analyst, service account and admin licences
- FinOps, Nexus and Governance are paid add on modules rather than part of the platform
- Support level is a separate priced choice
- Self managed VPC or on premises deployment requires the Premium tier or higher
- No free trial is offered on the pricing page
DVC
- DVC is Apache 2.0 licensed open source with no enterprise tier or paid support offering documented in the project itself; teams needing SLA-backed support get nothing from the DVC project directly.
Pricing, plan by plan
Domino Data Lab
Free- TrialFree
- 14-day trial
- Full features
- EnterpriseFree
- Full platform
- Enterprise support
- SLA
DVC
Free- Open SourceFree
- Data versioning
- Pipeline management
- Experiment tracking
- DVC StudioFree
- Web UI
- Team collaboration
- Visualizations
Which should you pick?
Choose Domino Data Lab if
- You need reproducible environments.
- You want to start without paying.
- You also want model registry.
Choose DVC if
- You need data versioning.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want pipeline management.
Questions people ask
- Is Domino Data Lab or DVC better?
- Neither clearly leads. Domino Data Lab starts at Free and DVC at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Domino Data Lab or DVC?
- Domino Data Lab starts at Free and DVC at Free.
- Does Domino Data Lab or DVC run on more platforms?
- Domino Data Lab runs on Web. DVC runs on Linux, Mac, Windows.
- Can I use Domino Data Lab for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Domino Data Lab best used for?
- Domino Data Lab is most often used for running reproducible data science workspaces and experiments on shared compute, deploying and monitoring models with governance controls, giving regulated enterprises a self managed mlops platform. Of those, running reproducible data science workspaces and experiments on shared compute and deploying and monitoring models with governance controls are not what DVC is typically brought in for.
- What can Domino Data Lab do that DVC cannot?
- Domino Data Lab covers Reproducible environments, Model registry, Model monitoring, Collaboration. DVC covers Data versioning, Pipeline management, Experiment tracking, Remote storage. Both handle Git.
Related pages
More on Domino Data Lab
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