Robust MLOps platform for end-to-end solutions.
When to use
Teams who’s primary language is Python and are looking for an affordable solution.
ClearML generously admits 3 users for free with basic functionality and sufficient resource quota.
The Pro plan gives 20% extra quota for storage, metrics and API calls for 15$ per user per month. Biggest advantages comes from additional features in pipeline orchestration and management. User limit is 10.
The Scale and Enterprise tiers would bring private server and cluster. Price is not public for these plans.
ClearML has a concept of ClearML server. They openly share their Docker based architecture. This setup can be deployed easily to AWS or Google Cloud with pre-configured server images.
Parallel computation capabilities have not been mentioned. Thus it does not support frameworks like Spark, Dask or Ray out of the box.
Only Python is mentioned in documentation. ClearML offers their own MLOps SDK for development.
ClearML is a general purpose platform for MLOps. It supports the most common worfklows for exploration, model management and model deployment.
The platform is well established compared to some alternatives. It should be possible to build end-to-end solution with peaceful mind. Some model training related visualizations are unique compared to competitors.