Compare ClearML and neptune.ai 
- Users report that neptune.ai excels in its Quality of Support with a score of 9.7, while ClearML, although still strong, has a slightly lower score of 9.0. Reviewers mention that the responsiveness and helpfulness of the support team at neptune.ai significantly enhance the user experience.
- Reviewers mention that ClearML shines in Scalability, achieving a perfect score of 10.0, compared to neptune.ai's score of 8.8. Users on G2 highlight that ClearML's architecture allows for seamless scaling as projects grow, making it a preferred choice for larger teams.
- Users say that neptune.ai offers superior Ease of Setup with a score of 9.4, while ClearML does not have a score listed. Reviewers mention that the straightforward onboarding process of neptune.ai allows teams to get started quickly without extensive configuration.
- G2 users report that ClearML has a better Model Registry feature, scoring 9.5 compared to neptune.ai's 8.4. Users highlight that ClearML's model versioning and tracking capabilities are robust, making it easier to manage different iterations of machine learning models.
- Reviewers mention that neptune.ai provides excellent Collaboration tools, scoring 9.3, which facilitates teamwork and project sharing. In contrast, ClearML scores slightly higher at 9.4, but users report that both platforms offer effective collaboration features.
- Users on G2 report that neptune.ai has a strong focus on Product Direction, with a score of 9.5, indicating a clear roadmap and commitment to user feedback. ClearML, with a perfect score of 10.0, is noted for its rapid development and feature enhancements based on user needs.
- Up to 3 users
- 1 workspace
- 1 project
ClearML allows for more autonomy without dependence on the engineering team. Setup time is quick, and recording experiments and submitting jobs to the queues is easy. It helps my team work more efficiently and collaborate much better.
We have the on-prem version and it works well, but took a lot of work to get set up initially by our infrastructure team. This is understandable though, and we're just happy that ClearML supports on-prem deployments.
- Excellent customer support - Good documentation - Easy to use API and implement - Great UI - Good service availabilty (almost no downtime) - Easy to integrate with different tools
ClearML allows for more autonomy without dependence on the engineering team. Setup time is quick, and recording experiments and submitting jobs to the queues is easy. It helps my team work more efficiently and collaborate much better.
- Excellent customer support - Good documentation - Easy to use API and implement - Great UI - Good service availabilty (almost no downtime) - Easy to integrate with different tools
We have the on-prem version and it works well, but took a lot of work to get set up initially by our infrastructure team. This is understandable though, and we're just happy that ClearML supports on-prem deployments.
