Databricks Intelligence Platform

A unified lakehouse platform that supports data engineering, analytics, SQL, machine learning, and AI on a single copy of data stored in open formats, with integrated governance via Unity Catalog.

Data engineering/ETL, BI and SQL analytics, machine learning, and generative AI all run against the same governed data, avoiding separate siloed systems for each.

An architecture that combines the low-cost, open storage of a data lake with the ACID transactions, governance, and performance of a data warehouse, eliminating the need for two separate tiers.

A setup where raw data lands in a data lake, then a subset is copied/ETL'd into a separate data warehouse for BI. This duplicates data, adds latency, and creates governance gaps.

Traditional lakes lack ACID transactions, suffer schema drift/no schema enforcement, and have poor query performance and reliability. The lakehouse adds transactions, schema enforcement, and performance via Delta Lake.