Users report that neptune.ai excels in its Quality of Support with a score of 9.7, indicating that users find the support team highly responsive and helpful, while ClearML, with a score of 9.0, is still strong but slightly less praised in this area.
Reviewers mention that neptune.ai offers superior Ease of Setup with a score of 9.4, making it easier for new users to get started, whereas ClearML does not have a score listed for this criterion, suggesting potential challenges in initial setup.
G2 users highlight that ClearML shines in Scalability with a perfect score of 10.0, making it a better choice for users anticipating growth, while neptune.ai scores 8.8, indicating it may not scale as seamlessly.
Users on G2 report that neptune.ai has a strong Product Direction with a score of 9.5, suggesting a clear roadmap and commitment to future improvements, while ClearML scores a perfect 10.0, indicating an even stronger confidence in its future development.
Reviewers mention that ClearML's Model Registry feature is highly rated at 9.5, which is particularly beneficial for users needing robust model management, while neptune.ai scores 8.4, indicating it may not be as comprehensive in this area.
Users say that both platforms are competitive in Collaboration, with neptune.ai scoring 9.3 and ClearML at 9.4, but ClearML edges out slightly, suggesting a marginally better experience for teams working together on projects.
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
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