Databricks Mosaic AI
by Databricks, Inc.
Build production-quality generative AI and agent systems on your enterprise data.
Databricks Mosaic AI is the generative-AI and model-building suite within the Databricks Data Intelligence Platform. It lets enterprises build, fine-tune, serve, govern, and monitor LLMs, classical ML models, and AI agents directly on their governed enterprise data.
At a Glance
- Category
- AI Agents & Orchestration
- Pricing
- Usage-based, Freemium, Contact for pricing
- Target Market
- CTOs, CIOs, Data Scientists, ML Engineers, Enterprise Developers, Data Engineers
- Founded
- 2013
- Headquarters
- San Francisco, California, United States
- Customers
- Over 20,000 customers worldwide (Databricks platform); used by over 60% of the Fortune 500
Key Features
- ✓Model Training & Fine-Tuning
Fine-tune open-source and foundation LLMs or build classical ML models, with MLflow experiment tracking and evaluation.
- ✓Model Serving
Deploy agents, generative AI, and classical ML models behind secure, scalable REST API endpoints.
- ✓Mosaic AI Vector Search
A high-performance vector database with real-time syncing of source data for retrieval-augmented generation (RAG).
- ✓Agent Framework & Agent Bricks
Author, deploy, and evaluate AI agents grounded in enterprise data with automated tuning and built-in evaluation.
- ✓Unity AI Gateway
Centralized governance, rate limiting, and monitoring across every LLM, agent, and MCP endpoint.
- ✓Managed MLflow & Unity Catalog
Enterprise MLOps lifecycle management plus unified governance and lineage for data and AI assets.
Capabilities
Use Cases
- •Domain-specific RAG chatbots
Build accurate, governed chatbots that retrieve answers from a company's own documents and data.
- •Enterprise AI agents
Develop and deploy multi-step AI agents for tasks like seller support, operations automation, and knowledge assistance.
- •Custom model fine-tuning
Adapt open-source and foundation models to proprietary enterprise data for higher accuracy and domain specialization.
Ideal For
Best For
- ✓Building and deploying enterprise RAG and AI agent applications on governed data
- ✓Fine-tuning and serving open-source LLMs and classical ML models
- ✓End-to-end LLMOps with governance, evaluation, and monitoring
Integrations
Market & Ratings
Over 20,000 customers worldwide (Databricks platform); used by over 60% of the Fortune 500
Market Analysis
Pros
- ✓Deep integration with governed lakehouse data avoids data duplication and leakage
- ✓Comprehensive end-to-end GenAI and agent tooling
- ✓Strong governance, security, and compliance via Unity Catalog
- ✓Broad open-source and multi-cloud support
Cons
- ✗Spark-first, analytics-centric architecture can be heavy for pure GenAI teams
- ✗DBU-based pricing is complex and can be hard to forecast
- ✗Steeper learning curve and potential platform lock-in
- ✗Cloud infrastructure costs billed separately on AWS/GCP
Pricing
Free Trial / Free Edition
$0
- ✓14-day free trial of the full platform including Mosaic AI
- ✓Free Edition available for learners
- ✓Access to data engineering, data science, ML, and Mosaic AI tools
Premium (pay-as-you-go)
Usage-based (per DBU)
- ✓Unity Catalog and RBAC
- ✓Mosaic AI, serverless, and SQL
- ✓Model Serving and Vector Search billed per DBU / per hour
Enterprise
Contact for pricing
- ✓Full compliance certifications
- ✓Dedicated support and SLAs
- ✓Committed-use discounts across clouds
Pay-as-you-go with no upfront cost, billed in Databricks Units (DBUs) at per-second granularity; on AWS and GCP customers also pay separate cloud infrastructure (e.g., EC2) charges. Committed-use contracts offer discounts. Example list rates: Model Serving Vector Search from $0.28/hour; foundation-model serving from roughly $0.07/DBU.
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