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Compare ClearML and DVC

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At a Glance
ClearML
ClearML
Star Rating
(13)4.7 out of 5
Market Segments
Small-Business (53.8% of reviews)
Information
Pros & Cons
Not enough data
Entry-Level Pricing
Free 1 seat
Learn more about ClearML
DVC
DVC
Star Rating
(11)4.7 out of 5
Market Segments
Mid-Market (54.5% of reviews)
Information
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about DVC
AI Generated Summary
AI-generated. Powered by real user reviews.
  • Users report that DVC excels in versioning capabilities, with a perfect score of 10.0, allowing for seamless tracking of changes in data and models, which is crucial for reproducibility in machine learning projects.
  • Reviewers mention that ClearML shines in ease of use, scoring 8.9 compared to DVC's 6.9, making it more accessible for teams that may not have extensive technical expertise.
  • G2 users highlight that ClearML offers superior collaboration features, with a score of 9.4, enabling teams to work together more effectively on projects, while DVC's collaboration tools are perceived as less robust.
  • Users on G2 report that ClearML's model registry functionality is highly rated at 9.5, providing a comprehensive solution for managing and deploying machine learning models, whereas DVC's model registry received a lower score of 7.7.
  • Reviewers say that DVC's language flexibility is commendable, scoring 9.0, which allows integration with various programming languages, but ClearML edges out with a perfect score of 10.0, making it more versatile for diverse development environments.
  • Users report that while DVC has strong cataloging features with a score of 8.9, ClearML significantly outperforms in this area with a score of 9.3, indicating a more user-friendly approach to managing datasets and experiments.
Pricing
Entry-Level Pricing
ClearML
Free
Free
1 seat
Learn more about ClearML
DVC
No pricing available
Free Trial
ClearML
Free Trial is available
DVC
No trial information available
Ratings
Meets Requirements
9.1
11
8.9
9
Ease of Use
8.9
11
6.9
9
Ease of Setup
Not enough data
Not enough data
Ease of Admin
Not enough data
Not enough data
Quality of Support
9.0
10
7.3
8
Has the product been a good partner in doing business?
Not enough data
Not enough data
Product Direction (% positive)
10.0
11
10.0
8
Features by Category
9.2
8
8.0
7
Deployment
10.0
5
9.0
5
9.2
6
9.0
5
10.0
6
Not enough data
9.7
5
Not enough data
10.0
6
Not enough data
Deployment
9.2
6
9.0
7
8.8
8
8.8
7
9.4
8
9.0
7
9.0
7
7.6
7
9.8
8
7.5
6
Management
8.9
6
Not enough data
8.3
6
Not enough data
9.3
5
Not enough data
9.5
7
7.7
5
Operations
8.8
7
8.1
7
8.6
7
6.4
6
9.4
8
6.9
6
Management
9.3
7
6.9
6
8.5
8
7.1
7
9.2
6
8.3
6
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
ClearML
ClearML
DVC
DVC
ClearML and DVC are categorized as MLOps Platforms
Unique Categories
ClearML
ClearML is categorized as Other Development
DVC
DVC has no unique categories
Reviews
Reviewers' Company Size
ClearML
ClearML
Small-Business(50 or fewer emp.)
53.8%
Mid-Market(51-1000 emp.)
30.8%
Enterprise(> 1000 emp.)
15.4%
DVC
DVC
Small-Business(50 or fewer emp.)
27.3%
Mid-Market(51-1000 emp.)
54.5%
Enterprise(> 1000 emp.)
18.2%
Reviewers' Industry
ClearML
ClearML
Information Technology and Services
38.5%
Computer Software
38.5%
Media Production
7.7%
Hospital & Health Care
7.7%
Consumer Goods
7.7%
Other
0.0%
DVC
DVC
Research
18.2%
Computer Software
18.2%
Consulting
9.1%
Oil & Energy
9.1%
Logistics and Supply Chain
9.1%
Other
36.4%
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DVC
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Discussions
ClearML
ClearML Discussions
Monty the Mongoose crying
ClearML has no discussions with answers
DVC
DVC Discussions
Monty the Mongoose crying
DVC has no discussions with answers