Amazon SageMaker vs Google Vertex AI
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 #3) 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 | Google Vertex AI | |
|---|---|---|
| Top 11 rank | #2 / Databricks vs Amazon SageMaker vs Google Vertex AI: 11 Best MLOps Platforms 2026 | #3 / Databricks vs Amazon SageMaker vs Google Vertex AI: 11 Best MLOps Platforms 2026 |
| Score (out of 9.4) | 8.9 | 8.7 |
| Best for | Managed MLOps for AWS-native teams | Managed MLOps plus foundation models on GCP |
| Pricing | $$$ (pay-per-use compute + services) | $$$ (pay-per-use compute + services) |
| HQ | Seattle, USA | Mountain View, USA |
| Founded | 2017 | 2021 |
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
Google Vertex AI
Best MLOps-plus-foundation-model stack on Google Cloud.
cloud.google.com/vertex-aiSee 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.