Compare ClearML and Dataloop 
Featured Products
At a Glance
Market Segments
Small-Business (53.8% of reviews)
Mid-Market (40.2% of reviews)
Entry-Level Pricing
Free 1 seat
No pricing available
ClearML
Star Rating
(13)4.7 out of 5
Market Segments
Small-Business (53.8% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
Free 1 seat
Learn more about ClearMLDataloop
Star Rating
(89)4.4 out of 5
Market Segments
Mid-Market (40.2% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DataloopClearML vs Dataloop
- Reviewers felt that ClearML meets the needs of their business better than Dataloop.
- When comparing quality of ongoing product support, reviewers felt that ClearML is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of ClearML over Dataloop.
Pricing
Entry-Level Pricing
Dataloop
No pricing availableFree Trial
ClearML
Free Trial is available
Dataloop
No trial information availableRatings
Meets Requirements
9.1
11
8.7
74
Ease of Use
8.9
11
8.8
75
Ease of Setup
Not enough data
8.6
39
Ease of Admin
Not enough data
8.8
20
Quality of Support
9.0
10
8.9
73
Has the product been a good partner in doing business?
Not enough data
8.8
20
Product Direction (% positive)
10.0
11
8.6
67
Features by Category
Deployment
10.0
5
Not enough data
9.2
6
Not enough data
10.0
6
Not enough data
9.7
5
Not enough data
10.0
6
Not enough data
Deployment
9.2
6
Not enough data
8.8
8
Not enough data
9.4
8
Not enough data
9.0
7
Not enough data
9.8
8
Not enough data
Management
8.9
6
Not enough data
8.3
6
Not enough data
9.3
5
Not enough data
9.5
7
Not enough data
Operations
8.8
7
Not enough data
8.6
7
Not enough data
9.4
8
Not enough data
Management
9.3
7
Not enough data
8.5
8
Not enough data
9.2
6
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
System
Not enough data
9.0
8
Model Development
Not enough data
9.3
7
Not enough data
8.8
7
Not enough data
8.8
7
Not enough data
8.3
7
Model Development
Not enough data
8.3
8
Machine/Deep Learning Services
Not enough data
9.4
8
Not enough data
8.3
6
Not enough data
8.1
6
Not enough data
8.3
9
Machine/Deep Learning Services
Not enough data
8.6
6
Not enough data
8.3
9
Deployment
Not enough data
8.9
6
Not enough data
8.5
9
Not enough data
8.3
9
Generative AI
Not enough data
7.9
7
Not enough data
8.5
8
Not enough data
9.2
6
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Quality
Not enough data
8.8
52
Not enough data
9.0
52
Not enough data
9.1
53
Not enough data
8.9
51
Automation
Not enough data
8.8
51
Not enough data
8.7
47
Image Annotation
Not enough data
9.1
50
Not enough data
9.2
51
Not enough data
9.0
49
Not enough data
9.2
50
Natural Language Annotation
Not enough data
9.0
42
Not enough data
8.9
41
Not enough data
8.9
44
Speech Annotation
Not enough data
9.1
39
Not enough data
8.9
38
Recognition Type
Not enough data
8.5
33
Not enough data
9.0
35
Not enough data
8.6
34
Not enough data
8.5
31
Not enough data
8.8
31
Not enough data
8.8
32
Not enough data
8.5
32
Not enough data
8.8
32
Facial Recognition
Not enough data
8.9
32
Not enough data
8.7
31
Labeling
Not enough data
8.9
33
Not enough data
9.4
32
Not enough data
8.7
31
Deployment
Not enough data
8.4
32
Model Training & Optimization - Active Learning Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Management & Annotation - Active Learning Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Performance & Analysis - Active Learning Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
ClearML and Dataloop are categorized as MLOps Platforms
Unique Categories
ClearML is categorized as Other Development
Dataloop is categorized as Active Learning Tools, Data Labeling, Data Science and Machine Learning Platforms, and Image Recognition
Reviews
Reviewers' Company Size
ClearML
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Dataloop
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
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%
Information Technology and Services
26.4%
Computer Software
26.4%
Accounting
2.3%
Retail
2.3%
Research
2.3%
Other
40.2%
Alternatives
Discussions
ClearML has no discussions with answers
What are data annotations?
1 Comment
Official Response from Dataloop
Data annotations refer to the process of labeling or adding informative tags to raw data, which can include text, images, audio, or video. This process is...Read more
What are data annotations?
1 Comment
Official Response from Dataloop
Data annotations refer to the process of labeling or adding informative tags to raw data, which can include text, images, audio, or video. This process is...Read more
Is Dataloop free?
1 Comment
Official Response from Dataloop
Dataloop operates on a quote-based pricing model and does not currently offer a free plan. Our pricing is tailored to match the specific needs and scale of...Read more
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