DVC vs Hopsworks

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 0.3 for Hopsworks.

You want the brand AI engines rank higher (3.7 vs 0.3)
AI answers describe it more positively (56% vs 0% positive)
Git-like versioning of data and experiments that integrates with code repositories
Versions massive datasets and models alongside code

Latest weekly run · Nov 2

The stronger value in each row is marked with a ✓.

Weekly runs over the last 60 days

DVC 0pp · Hopsworks 0pp over 0 weekly runs.

DVC leads on 3 of 3 engines

ChatGPT

0.9%

AI Mode

4.3%

Perplexity

3.9%

DVCHopsworks

0 engine answers name both brands

0DVC ranked higher

0Hopsworks ranked higher

Dimension	DVC	Hopsworks
Pricing model	—	Usage-based
Entry price	—	Contact sales
Free plan	—	Yes
Deployment	Runs locally on the user's machine alongside Git, with data kept in the customer's own cloud storage (S3, Azure, Google Cloud).	Fully managed SaaS, self-hosted on Kubernetes, on-premises, air-gapped and hybrid
Compliance	—	ISO 27001, SOC 2 Type II, GDPR, HIPAA
Support	—	Community support, Dedicated support team and custom integrations on Enterprise plan, Platform SLA on Enterprise plan
Founded	2017	2017
Headquarters	—	Stockholm, Sweden
Employees	—	11–50
Funding	—	Series B
Best for	Individual data scientists and small data science projects that want data version control with minimal overhead.	Teams building production ML systems that need real-time feature serving and reuse of features across models

Pricing not available.

Free$0

SaaSCustompay as you go

EnterpriseCustomcustom

Themes from the AI answers that mention each brand

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