Machine Learning & Data Science · pricing
DVC pricing
DVC publishes 2 tiers. Below is each one, what it adds over the tier beneath it, and where the ladder stops being worth climbing for most people.
- Entry price
- Free
- Model
- Open-source
- Tiers
- 2
- Free tier
- Yes
DVC plans, side by side
Every published tier in ascending order of price, with the number of features each one lists. An absence here means the record does not itemise it, not that the tier lacks it.
| Plan | Price | Features listed | Step up from the tier below |
|---|---|---|---|
| Open Source | Free | 3 | Entry tier |
| DVC Studio | Free | 3 | +$0/month, 3 more features |
What each tier adds
The set difference between each tier's feature list and the one beneath it. Where a tier lists nothing new, the vendor has either stopped repeating the inherited list or the tier raises limits rather than adding capability, the record does not distinguish the two, so this page does not either.
Open Source
FreeThe entry tier. It covers data versioning, pipeline management, experiment tracking.
DVC Studio
FreeOver Open Source, this tier adds:
- Web UI
- Team collaboration
- Visualizations
Where DVC stops being free
Open Source, Free
- Data versioning
- Pipeline management
- Experiment tracking
No paid tier on record
DVC lists a free tier and no priced tier above it in the record we hold.
What the product covers
The full DVC feature record, grouped as the catalogue groups it. This is the product as a whole; the record does not map every feature onto a specific tier.
Core
- Data versioning
- Pipeline management
- Experiment tracking
- Remote storage
- Git integration
Integrations
- Git
- S3
- Azure Blob
- Google Cloud Storage
- SSH
Platform
- Linux support
- Mac support
- Windows support
People bring DVC in for machine learning, data analysis, model training, predictive analytics. If that is not the job you are buying for, the alternatives to DVC are worth a look before you commit to a tier.
How that compares in Machine Learning & Data Science
Too few machine learning & data science tools in this directory publish a starting price to quote a meaningful median, so the table below is a like-for-like list rather than a ranking.
| Tool | Entry price | Model | Rated | Head to head |
|---|---|---|---|---|
| DVC (this page) | Free | open-source | - | |
| Comet ML | Free | freemium | - | vs DVC |
| BentoML | Free | freemium | - | vs DVC |
| Anaconda | Free, then $15/month | - | - | vs DVC |
| Azure Machine Learning | Free | usage-based | - | vs DVC |
| BigQuery ML | Free | usage-based | - | vs DVC |
| Alteryx | Free | subscription | - | vs DVC |
Ratings are aggregated from third-party sources and imported with each catalogue entry, they are not reviews hosted on Softwr. How each figure is used is set out on the DVC badges page.
Before you pay for DVC
Three things this page cannot tell you, and all three change the bill. The record carries a price and a billing period but not the unit - per-seat and flat-rate pricing are indistinguishable in this data, so a five-person team may be looking at five times the figure above. It carries no annual rate, so any discount for paying yearly is not something this page can quote. And it carries no trial length.
What it can tell you is the shape of the ladder: 2 tiers between Free and Free, with the jump itemised above. Because there is a free tier, the cheapest way to answer the rest is to use it before paying anything.
DVC runs on linux, mac, windows, and is published by Iterative of San Francisco, California. The full record is on the DVC review, and the rest of the category is under best machine learning & data science tools.
DVC pricing questions
- How much does DVC cost?
- DVC publishes 2 tiers, from Free for Open Source up to Free for DVC Studio. The entry tier costs nothing.
- Does DVC have a free plan?
- Yes. The Open Source tier costs nothing and covers data versioning, pipeline management, experiment tracking.
- What is the difference between Open Source and DVC Studio on DVC?
- DVC Studio costs Free against Free, and adds web ui, team collaboration, visualizations.
- Which machine learning & data science tools can I use without paying?
- 8 of the 8 machine learning & data science tools listed alongside DVC have a free tier: Comet ML, BentoML, Anaconda, Azure Machine Learning, BigQuery ML.
- What am I actually paying for with DVC?
- The record lists 13 features across 3 areas: core, integrations, platform. In practice it is brought in for machine learning, data analysis, model training.
- Does DVC charge per user?
- The record carries a price and a billing period for each of its 2 tiers, but not the unit that price is charged in. Per-seat and flat-rate billing look identical in this data, so check the vendor's page before budgeting for a team.
- Are these DVC prices current?
- They are what the catalogue entry holds, refreshed when the entry is. Vendors change pricing without notice and nobody at Softwr re-verifies each tier by hand, so treat this as a structured summary and the vendor's own pricing page as the authority.
- What should I compare DVC against before paying?
- The closest machine learning & data science tools in this directory are Comet ML, BentoML, Anaconda, Azure Machine Learning. Each has a side-by-side comparison with DVC covering price, platforms and features.
