Data Intelligence Platform

The Databricks Data Intelligence Platform is a unified platform for data, analytics and AI built on the lakehouse architecture. It combines the flexibility of data lakes with the performance of data warehouses, so you can run all workloads — from ETL and BI to advanced machine learning and generative AI — on a single foundation.

At its core is a Data Intelligence Engine that understands the unique semantics of your data. By combining metadata, usage patterns and generative AI, it helps teams discover, govern and use data faster and more safely across the entire organization.

Key capabilities

• Lakehouse architecture: Open and unified storage that combines data lake and data warehouse capabilities, eliminating silos and reducing duplication.
• End-to-end data engineering: Scalable ETL and orchestration for batch and streaming data, built on Apache Spark and Delta Lake.
• Analytics and BI at scale: SQL, dashboards and interactive analytics on the same platform, enabling self-service insights for data analysts and business users.
• Machine learning and generative AI: Integrated tooling for ML and GenAI, including experiment tracking, model management and deployment, so data scientists and engineers can build production-grade AI.
• Unified governance with fine-grained control: Central governance for data, models and dashboards, with fine-grained access control, lineage and auditing across clouds.
• Open and multi-cloud: Runs in your existing cloud account and integrates with major cloud storage and ecosystem tools, avoiding lock-in and keeping control over data and costs.

Typical outcomes

• One platform instead of multiple point solutions for data, analytics and AI
• Faster delivery of data products and AI use cases
• Stronger governance and security without slowing teams down
• Lower total cost of ownership through consolidation on a single lakehouse platform