I use Comet for experiment and asset tracking during model development, as well as to support model reproducibility and transparency. I also appreciate the ability to perform an on-prem installation without the need to maintain the installation.
Data Scientist at a computer software company with 1,001-5,000 employees
Experiment and asset tracking enhance model development and ease of on-prem maintenance
Pros and Cons
- "Model metric tracking and comparison has been extremely beneficial, and Comet's customer service has also been excellent—any issue we've had, they have been able to help us resolve."
- "SageMaker itself has a cumbersome interface, which makes launching Comet somewhat of a hassle."
What is our primary use case?
How has it helped my organization?
Previously, we had an on-prem installation that required frequent re-deployment due to internal security standards, which could cause down-time during model development. Using Comet within SageMaker streamlined the deployment process to require zero maintenance and also simplified billing.
What is most valuable?
Model metric tracking and comparison has been extremely beneficial. Comet's customer service has also been excellent. Any issue we've had, they have been able to help us resolve.
What needs improvement?
SageMaker itself has a cumbersome interface, which makes launching Comet somewhat of a hassle.
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Comet
May 2026
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For how long have I used the solution?
I have used the solution for 3 months.
Which deployment model are you using for this solution?
On-premises
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Disclosure: My company does not have a business relationship with this vendor other than being a customer.
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Updated: May 2026
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