Databricks Mosaic AI review and pricing

Databricks Mosaic AI is the Databricks bundled ML and AI stack, rebranded from Databricks ML in 2024 after the MosaicML acquisition (July 2023, reported $1.3B). The product covers managed MLflow (Databricks is the steward of open-source MLflow and bundles a managed version), Feature Engineering and Feature Store, AutoML, Model Serving, Vector Search, foundation-model fine-tuning (the Mosaic AI Model Training surface), and the AI Playground for generative-AI experimentation. Strengths: the right call for Databricks customers wanting ML, features, and inference inside the Lakehouse (Unity Catalog governance flows through to ML artifacts), managed MLflow is a real benefit, foundation-model fine-tuning is competitive, and the bundle reduces tool sprawl. Trade-offs: a worse call if you are not already on Databricks (Mosaic AI alone is not a credible neutral MLOps platform), pricing is opaque at enterprise scale (DBU-based consumption interacts with cloud compute), the MosaicML acquisition has been digested unevenly (some original MosaicML customers report regression in pre-acquisition workflows), and feature breadth on AutoML lags Vertex AI or SageMaker.