ArizeThe agent observability and evaluation platform.
vs
DVCManage data the way code is managed.
Comparison · MLOps Platforms · weekly run Nov 2
Arize 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 1.5 for Arize, and ranks ahead in 100% of the answers that name both.
Choose Arize if…
- You need a self-hosted or on-premises option
- You need SOC 2 Type II or ISO 27001 or PCI DSS or HIPAA or GDPR coverage
Choose DVC if…
- You want the brand AI engines rank higher (3.7 vs 1.5)
- AI answers describe it more positively (56% vs 20% positive)
- Git-like versioning of data and experiments that integrates with code repositories
- Versions massive datasets and models alongside code
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Arize | DVC |
|---|---|---|
| Visibility score | 1.5% | 3.7% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #34 | #21 |
| Share of voice | 0.7% | 1.4% |
| Mentions this run | 5 | 9 |
| Positive in AI answers | 20% | 56% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Arize 0pp · DVC 0pp over 0 weekly runs.
Engine by engine
DVC leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
ArizeDVC
Head to head in AI answers
2 engine answers name both brands
0Arize ranked higher
2DVC ranked higher
| Prompt | Engine | Arize | DVC |
|---|---|---|---|
| What are the best MLOps Platforms tools in 2026? | ChatGPT | #17 | #12 |
| Alternatives to the most popular MLOps platform | Perplexity | #20 | #6 |
Features, pricing & fit
| Dimension | Arize | DVC |
|---|---|---|
| Pricing model | Flat tiers | — |
| Entry price | Free; paid from $50 / mo | — |
| Free plan | Yes | — |
| Deployment | SaaS, with self-hosted deployment on the Enterprise plan; Phoenix runs locally or self-hosted. | Runs locally on the user's machine alongside Git, with data kept in the customer's own cloud storage (S3, Azure, Google Cloud). |
| Integrations | 40+ | — |
| Compliance | SOC 2 Type II, ISO 27001, PCI DSS, HIPAA, GDPR | — |
| Support | Community, Email, Dedicated support on Enterprise | — |
| Founded | 2020 | 2017 |
| Employees | 51–200 | — |
| Funding | Series B-1 extension · $131M raised | — |
| Best for | AI engineering teams building and running production AI agents and LLM applications who need observability and evaluations. | 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
Arize
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, “Arize vs DVC”, https://slateindex.ai/compare/arize-vs-dvc, data of Nov 2, 2026. Licence: CC BY 4.0.