Databricks Mosaic AI
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Databricks' suite for building, governing, and serving production AI — agents, RAG, fine-tuning, and evaluation — on top of your governed data.
Overview
Mosaic AI is the AI layer of the Databricks platform, and its defining advantage is proximity to data: models, agents, RAG, fine-tuning, model serving, and evaluation operate on data already governed by Unity Catalog, with lineage and access control intact. For enterprises whose data already lives in a lakehouse, that closes the usual gap between the data platform and the AI stack. It is a platform commitment, not a point tool — most compelling for organizations already invested in Databricks, and a heavier lift for anyone who is not.
Pros & Cons
Pros
- AI built directly on governed lakehouse data
- Unity Catalog lineage and access control extend to AI
- Covers agents, RAG, fine-tuning, serving, and evals
- Strong fit for data-mature enterprises
Cons
- Most valuable only on the Databricks platform
- Platform commitment, not a point solution
- Enterprise pricing and procurement
Workflows that use Databricks Mosaic AI
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