BasetenDeploy AI models in production on the Baseten Inference Stack.
vs
DVCManage data the way code is managed.
Comparison · MLOps Platforms · weekly run Nov 2
Baseten vs DVC
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
DVC is the stronger AI pick in MLOps Platforms: it has a visibility score of 3.7 versus 0.4 for Baseten.
Choose Baseten if…
- You need a self-hosted or on-premises option
- You need SOC 2 Type II or HIPAA coverage
Choose DVC if…
- You want the brand AI engines rank higher (3.7 vs 0.4)
- Git-like versioning of data and experiments that integrates with code repositories
- Versions massive datasets and models alongside code
- Free, open-source tool often paired with MLflow
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Baseten | DVC |
|---|---|---|
| Visibility score | 0.4% | 3.7% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #47 | #21 |
| Share of voice | 0.2% | 1.4% |
| Mentions this run | 1 | 9 |
| Positive in AI answers | — | 56% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Baseten 0pp · DVC 0pp over 0 weekly runs.
Engine by engine
DVC leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
BasetenDVC
Head to head in AI answers
0 engine answers name both brands
0Baseten ranked higher
0DVC ranked higher
Features, pricing & fit
| Dimension | Baseten | DVC |
|---|---|---|
| Pricing model | Usage-based | — |
| Entry price | Contact sales | — |
| Free plan | Yes | — |
| Deployment | Multi-cloud: Baseten Cloud, self-hosted in your own VPC, or hybrid with on-demand flex capacity. | Runs locally on the user's machine alongside Git, with data kept in the customer's own cloud storage (S3, Azure, Google Cloud). |
| Compliance | SOC 2 Type II, HIPAA | — |
| Support | Email and in-app chat, Slack and Zoom support on Pro, Forward-deployed engineers | — |
| Founded | 2019 | 2017 |
| Headquarters | San Francisco, CA | — |
| Employees | 201–500 | — |
| Funding | Series D | — |
| Best for | Teams shipping production AI products that need fast, reliable inference for open-source or custom models. | Individual data scientists and small data science projects that want data version control with minimal overhead. |
Plans side by side
DVC
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Baseten
Profile in progress.
DVC
- Git-like versioning of data and experiments that integrates with code repositories
- Versions massive datasets and models alongside code
- Free, open-source tool often paired with MLflow
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Baseten vs DVC”, https://slateindex.ai/compare/baseten-vs-dvc, data of Nov 2, 2026. Licence: CC BY 4.0.