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Compare Comet.ml and neptune.ai 
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At a Glance
Market Segments
Mid-Market (50.0% of reviews)
Mid-Market (42.6% of reviews)
Entry-Level Pricing
Free
Free
Comet.ml
Star Rating
(12)4.3 out of 5
Market Segments
Mid-Market (50.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
Free
Browse all 3 pricing plansneptune.ai
Star Rating
(54)4.6 out of 5
Market Segments
Mid-Market (42.6% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Comet.ml has a solid framework flexibility rating of 7.7, but reviewers mention that neptune.ai excels with a score of 9.3, making it a better choice for teams that require diverse framework support.
- Reviewers say that while Comet.ml offers decent monitoring capabilities with a score of 8.7, neptune.ai shines with a higher score of 9.1, indicating a more robust monitoring feature set that users find beneficial for tracking experiments.
- Users on G2 highlight that Comet.ml's ease of deployment is rated at 8.7, but users mention that neptune.ai significantly outperforms it with a score of 9.4, suggesting a more user-friendly deployment process.
- G2 users report that Comet.ml's cataloging feature is rated at 8.0, while neptune.ai's cataloging capabilities are rated higher at 8.5, indicating that users find neptune.ai's organization of experiments more effective.
- Reviewers mention that Comet.ml's scalability is rated at 7.3, which may be limiting for larger teams, whereas neptune.ai's scalability score of 8.8 suggests it is better suited for growing organizations.
- Users say that Comet.ml's quality of support is rated at 8.3, but neptune.ai stands out with a remarkable score of 9.7, indicating that users feel more supported and valued with neptune.ai's customer service.
Pricing
Entry-Level Pricing
neptune.ai
Free (Cloud SaaS)
Free
For teams starting out with experiment tracking
- Up to 3 users
- 1 workspace
- 1 project
Free Trial
Comet.ml
No trial information availableneptune.ai
Free Trial is available
Ratings
Meets Requirements
7.9
7
8.4
48
Ease of Use
8.3
7
9.1
52
Ease of Setup
Not enough data
9.2
32
Ease of Admin
Not enough data
8.8
10
Quality of Support
8.3
6
9.6
45
Has the product been a good partner in doing business?
Not enough data
8.7
10
Product Direction (% positive)
8.1
6
9.5
48
Features by Category
Deployment
8.3
5
8.7
36
7.7
5
9.3
38
8.0
5
9.0
39
8.7
5
Feature Not Available
7.3
5
8.9
33
Deployment
7.3
5
8.5
34
7.7
5
9.1
34
8.3
5
9.0
35
7.7
5
Feature Not Available
7.7
5
8.8
34
Management
8.0
5
8.5
34
8.7
5
9.1
37
7.3
5
8.3
33
8.0
5
8.2
34
Operations
8.0
5
8.3
32
7.0
5
Feature Not Available
7.7
5
9.2
32
Management
7.7
5
8.2
29
8.0
5
9.0
30
6.7
5
8.5
29
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Categories
Categories
Shared Categories
Comet.ml and neptune.ai are categorized as MLOps Platforms
Unique Categories
Comet.ml has no unique categories
neptune.ai has no unique categories
Reviews
Reviewers' Company Size
Comet.ml
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
neptune.ai
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
Computer Software
33.3%
Telecommunications
8.3%
Research
8.3%
Information Technology and Services
8.3%
Hospital & Health Care
8.3%
Other
33.3%
Computer Software
27.8%
Research
9.3%
Insurance
9.3%
Biotechnology
9.3%
Program Development
5.6%
Other
38.9%
Alternatives
Discussions
Comet.ml has no discussions with answers
What are the MLOps tools?
1 Comment
YT
Common tools are DVC for data versioning, ClearML, AWS Sage Maker, Neptune and Qwak for experiment management, Aporia for model monitoring. Some tools are...Read more
neptune.ai has no more discussions with answers
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