Databricks Data Intelligence Platform
Unified data and AI platform
- Data & analytics · editorial fit
Overview
The Databricks Data Intelligence Platform is a unified environment for data engineering, analytics, governance, machine learning, and generative-AI development. It combines lakehouse storage and processing with Unity Catalog governance and AI tools that use an organization’s data and metadata as context.
Databricks offers a no-cost Free Edition for personal learning and non-commercial experimentation, usage-based paid services for production workloads, and a separate two-week commercial trial. Compute, cloud infrastructure, and feature availability vary by product and deployment.
Supported use cases
Prepare data for analytics
Build governed pipelines that feed SQL analysis and dashboards.
Develop a production AI application
Connect enterprise data to models, evaluate results, and deploy model or agent endpoints.
Consolidate data and AI governance
Apply shared access policy and lineage across data, models, and AI assets.
Limitations
Free Edition is restricted
The no-cost edition is intended for personal, educational, and non-commercial use and is subject to fair-use limits.
Production cost is usage-based
Paid cost depends on Databricks products, compute, cloud infrastructure, and consumed capacity.
Key capabilities
Lakehouse data engineering
Ingests, transforms, and serves batch and streaming data on a shared platform.
Analytics and BI
Supports SQL analysis, dashboards, and governed access to organizational data.
Machine learning and AI
Builds, evaluates, serves, and monitors models and generative-AI applications.
Unified governance
Uses Unity Catalog to manage data and AI assets, permissions, lineage, and discovery.
Related tools
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