Software · head to head
DVC vs Pachyderm
The short version
- Each has a real cost: 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.; Pachyderm core software is Apache-2.0 licensed and free to self-host
- They diverge on capability: DVC covers Pipeline management, Pachyderm covers Data-driven pipelines.
Where they differ
Only the attributes on which DVC and Pachyderm actually diverge.
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 DVC
- Pipeline management
- Experiment tracking
- Remote storage
- Git integration
- Git
- Google Cloud Storage
- SSH
- Mac support
Only in Pachyderm
- Data-driven pipelines
- Automatic provenance
- Kubernetes-native
- Reproducibility
- Kubernetes
- GCS
- Spark
Both cover
- Data versioning
- S3
- Azure Blob
- Linux support
What people use each for
The jobs each tool is most often brought in to do.
DVC
- Machine learning
- Data analysis
- Model training
- Predictive analytics
Pachyderm
- Machine learning
- Data analysis
- Model training
- Predictive analytics
Both are used for machine learning, data analysis, model training, predictive analytics, on those jobs the choice comes down to price and fit rather than capability.
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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.
Pachyderm
- Core software is Apache-2.0 licensed and free to self-host
Pricing, plan by plan
DVC
Free- Open SourceFree
- Data versioning
- Pipeline management
- Experiment tracking
- DVC StudioFree
- Web UI
- Team collaboration
- Visualizations
Pachyderm
Free- CommunityFree
- Core features
- Community support
- EnterpriseFree
- Advanced security
- Premium support
- SLAs
Which should you pick?
Choose DVC if
- You need pipeline management.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want experiment tracking.
Choose Pachyderm if
- You need data-driven pipelines.
- You want to start without paying.
- You work on Linux.
- You also want automatic provenance.
Questions people ask
- Is DVC or Pachyderm better?
- Neither clearly leads. DVC starts at Free and Pachyderm at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, DVC or Pachyderm?
- DVC starts at Free and Pachyderm at Free.
- Does DVC or Pachyderm run on more platforms?
- DVC runs on Linux, Mac, Windows. Pachyderm runs on Linux.
- Can I use DVC for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is DVC best used for?
- DVC is most often used for machine learning, data analysis, model training, predictive analytics.
- What can DVC do that Pachyderm cannot?
- DVC covers Pipeline management, Experiment tracking, Remote storage, Git integration. Pachyderm covers Data-driven pipelines, Automatic provenance, Kubernetes-native, Reproducibility. Both handle Data versioning, S3, Azure Blob, Linux support.