Amazon SageMaker vs ClearML
Side-by-side from the Top 11 ranking of Databricks vs Amazon SageMaker vs Google Vertex AI: 11 Best MLOps Platforms 2026. Last verified July 10, 2026.
The short answer
Amazon SageMaker ranks higher on Top 11 (#2 vs #9) for ML engineering and platform teams choosing a system to train, deploy, and monitor models in production. Best managed lifecycle for teams already on AWS.
At a glance
| Amazon SageMaker | ClearML | |
|---|---|---|
| Top 11 rank | #2 / Databricks vs Amazon SageMaker vs Google Vertex AI: 11 Best MLOps Platforms 2026 | #9 / Databricks vs Amazon SageMaker vs Google Vertex AI: 11 Best MLOps Platforms 2026 |
| Score (out of 9.4) | 8.9 | 7.9 |
| Best for | Managed MLOps for AWS-native teams | Open-source, self-hostable MLOps stack |
| Pricing | $$$ (pay-per-use compute + services) | $$ (open-source + paid tiers) |
| HQ | Seattle, USA | Herzliya, Israel & San Francisco, USA |
| Founded | 2017 | 2019 |
Amazon SageMaker
Best managed lifecycle for teams already on AWS.
aws.amazon.com/sagemaker/See full entry in Databricks vs Amazon SageMaker vs Google Vertex AI: 11 Best MLOps Platforms 2026
ClearML
Best open-source stack you can fully self-host.
clear.mlSee full entry in Databricks vs Amazon SageMaker vs Google Vertex AI: 11 Best MLOps Platforms 2026
Methodology and scoring weights live at /methodology. No vendor pays for placement — see about.