Who makes the most used MLOps platform?

1. Microsoft Azure Machine Learning — Microsoft is currently the largest MLOps vendor by overall market revenue, but the answer depends on whether you're measuring commercial platforms or actual developer adoption.
2. Amazon SageMaker AI — Amazon SageMaker: One of the most established managed MLOps platforms.
3. Databricks — Databricks: Most popular model-training platform in that survey, with 28%.
4. Google Vertex AI
5. MLflow — MLflow: Most widely adopted experiment-tracking tool.

1. Databricks — Databricks makes the most widely used MLOps platform overall, primarily through MLflow, its open-source MLOps framework.
2. MLflow — Databricks makes the most widely used MLOps platform overall, primarily through MLflow, its open-source MLOps framework.
3. Amazon SageMaker AI — There is no universally accepted market-share ranking: among managed cloud platforms, AWS SageMaker, Microsoft Azure Machine Learning, and Google Vertex AI are major competitors.
4. Microsoft Azure Machine Learning — There is no universally accepted market-share ranking: among managed cloud platforms, AWS SageMaker, Microsoft Azure Machine Learning, and Google Vertex AI are major competitors.
5. Google Vertex AI — There is no universally accepted market-share ranking: among managed cloud platforms, AWS SageMaker, Microsoft Azure Machine Learning, and Google Vertex AI are major competitors.

Determining the "most used" MLOps platform depends on whether you look at open-source tracking/registry components or comprehensive cloud-native enterprise suites . Because MLOps is heavily fragmented into specialized tooling rather than a single winner-take-all market, leadership is split across a few dominant names:

1. MLflow — The Most Used for Experiment Tracking & Model Registry: MLflow (Databricks).
2. Databricks — The Most Used for Experiment Tracking & Model Registry: MLflow (Databricks).
3. Amazon SageMaker AI — The Most Used Enterprise Cloud MLOps Suites: AWS SageMaker & Google Vertex AI.
4. Google Vertex AI — The Most Used Enterprise Cloud MLOps Suites: AWS SageMaker & Google Vertex AI.
5. Microsoft Azure Machine Learning — Market Position: For organizations looking for a fully managed, end-to-end cloud platform (handling data labeling, training, one-click deployment, and monitoring), Amazon SageMaker leads in overall enterprise cloud…
6. Weights & Biases — The Most Used for Developer Collaboration & LLMOps: Weights & Biases (W&B).
7. AWS — The Most Used Enterprise Cloud MLOps Suites: AWS SageMaker & Google Vertex AI.