Databricks

Unified data and AI platform that brings data engineering, warehousing, machine learning, and business analytics into a single lakehouse architecture. Organizations run ETL, SQL analytics, real-time streaming, and model training on one governed foundation, with data stored in open formats rather than vendor-locked silos.

Databricks is used by enterprises such as FedEx, Adobe, Cox Automotive, and Unilever. It differentiates from traditional data warehouses by combining the flexibility of data lakes with the structure and governance of a warehouse. The platform is built on Apache Spark and Delta Lake, with Unity Catalog providing unified access control and lineage across all workloads.

Key capabilities:

• Lakehouse architecture with Delta Lake for ACID transactions and time travel
• Data engineering, warehousing, streaming, and ML in one platform with shared governance
• Unity Catalog for fine-grained access control, lineage, and discovery across clouds
• Natural language interface for search, discovery, and analytics without writing SQL
• Real-time streaming with Spark Structured Streaming and Delta Live Tables
• Multi-cloud deployment on AWS, Azure, and GCP

Data teams use Databricks to replace fragmented ETL and warehousing toolchains, migrate off legacy data warehouses, and build ML pipelines that share a single source of truth. The platform supports generative AI use cases with governance over training data and model lineage, and integrates with common dev tools via REST APIs, notebooks, and SDKs.