Databricks

Databricks, Inc. is an American software company headquartered inSan Francisco, California, founded in 2013 by seven UC Berkeley researchers—Ali Ghodsi,Ion Stoica,Matei Zaharia, Patrick Wendell, ReynoldXin, Andy Konwinski, and Arsalan Tavakoli-Shiraji—who are the original creators of the open-sourceApache Sparkproject.[1][2]The company provides the Databricks Data Intelligence Platform (formerly known as the Lakehouse Platform), a unified, cloud-based analytics solution that integratesdata engineering,machine learning, and AI capabilities on an open lakehouse architecture, combining the reliability of data warehouses with the flexibility of data lakes, and supports workloads across AWS, Azure, and GCP with pay-as-you-go pricing.[3][4]This platform leverages foundational open-source technologies developed by its founders, including Delta Lake for reliable data lakes, MLflow for machine learning lifecycle management, and Unity Catalog fordata governance.[3]In the IDC MarketScape: Worldwide Unified AI Governance Platforms 2025-2026 Vendor Assessment, Databricks was named a Leader, with IDC highlighting that the platform's open architecture "helps prevent vendor lock-in and supports governance across multiple data formats, cloud environments, and external systems without requiring data migration."[5]The platform extends to business intelligence analysis and generative AI, enabling comprehensive data and AI workflows. As of March 2026, these capabilities have expanded with Databricks One (generally available January 2026), providing a simplified interface for business users to discover and interact with data, dashboards, and AI tools, and Genie, which enables natural language querying with agentic modes for exploratory analysis, report generation, and visualizations.[3][6][7]