Databricks
Databricks is the data and AI company, providing a unified platform for data, analytics, and AI built on an open lakehouse architecture.
Databricks provides a unified Data + AI Platform built on an open lakehouse architecture. The platform serves as a foundation for data engineering, data science, and machine learning, allowing organizations to manage large amounts of data efficiently within a single collaborative workspace. It enables teams to process data, build and train AI models, and deploy analytics at scale.\n\nThe company offers specialized tools for the "agentic enterprise," including Agent Bricks for building AI agents and Lakebase, a serverless Postgres database integrated with the lakehouse. These tools allow businesses to ground AI models in their own specific context while maintaining unified governance and security across multiple cloud environments.\n\nDatabricks serves over 20,000 customers globally, including a significant portion of the Fortune 500. Its solutions are tailored for various industries such as financial services, healthcare, and manufacturing, providing purpose-built accelerators to speed up the transition from idea to proof of concept.\n\nHeadquartered in San Francisco, Databricks has a global presence with offices across five continents. The company was founded by the creators of major open-source projects including Apache Spark, Delta Lake, and MLflow, and continues to lead innovation in the data and AI space.
- Headquarters
- San Francisco, CA, USA
- Founded
- 2013
- Website: databricks.com
Industries: Artificial Intelligence, Data & Analytics
Categories: Machine Learning, Data Warehouse
AntSpace put this profile together from public information. It may be incomplete; once Databricks claims it, its admins can edit everything here.
Our culture
Databricks describes its origins in academia and the open source community, having been founded by the original creators of projects like Apache Spark and Delta Lake. The company focuses on democratizing data and AI, helping technical teams and business users alike solve complex problems through a unified, open foundation. It emphasizes a collaborative environment that unifies data engineering, data science, and machine learning.
Core values
- Democratize data and AI
- Unified foundation
- Customer success
Specialties
- Serverless Data Warehousing
- Open Lakehouse Architecture
- Real-time Data Processing
Markets served
- Artificial Intelligence
- Data & Analytics
- Machine Learning
- Data Warehouse
Products by Databricks
- Databricks AI/BI (SaaS / cloud software)
Intelligent analytics for everyone, powered by a data-smart AI coworker. - Agent Bricks (Developer tool)
The agent developer platform to build and deploy high-quality AI agents on your data. - Lakebase (SaaS / cloud software)
Serverless Postgres for apps and agents that scales automatically and branches like code. - Databricks Data + AI Platform (SaaS / cloud software)
Unify your data, analytics and AI on one open platform.
Services by Databricks
- Databricks Solution Accelerators (Implementation & integration)
Purpose-built guides and pre-built code to move from idea to proof of concept in weeks. - Databricks Support Plans (Support & maintenance)
Expert technical support for your Databricks and Spark workloads. - Databricks Training and Certification (Training & workshops)
Master the Data + AI Platform with expert-led training and industry-recognized certifications.
AI models by Databricks
- Databricks Document Intelligence (Computer vision)
Pushing the frontier for complex document extraction and understanding - Frontier Data Agent (Language model (LLM))
High-quality, cost-effective reasoning for enterprise data tasks. - OfficeQA Pro V2 (Science / biology model)
A New Benchmark for Enterprise Grounded-Reasoning
AI agents by Databricks
- Genie Agents (Data & analytics agent)
The data-smart AI coworker for conversational analytics. - Genie Code (Coding agent)
Analyze, build and optimize data solutions with autonomous AI that understands your data. - Genie (Data & analytics agent)
Your data-aware AI partner for conversational analytics and governed insights.
Clients and partners
- Microsoft Azure
- Amazon Web Services (AWS)
- Comcast
- Block
Case studies
- PetSmart boosts bookings with Databricks AI-powered marketing (PetSmart · Retail and Consumer Goods · Added by AntSpace from public sources (databricks.com))
PetSmart utilized the Databricks platform to drive AI-powered marketing, resulting in double-digit growth for bookings and transactions. - Reckitt gets to market 60% faster with Databricks (Reckitt · Retail and Consumer Goods · Added by AntSpace from public sources (databricks.com))
Reckitt accelerated its time-to-market by up to 60% using Databricks to optimize concept creation and localization. - Vantage Bank Texas uses AI in lending on Databricks (Vantage Bank Texas · Financial Services · Added by AntSpace from public sources (databricks.com))
Vantage Bank Texas uses the Databricks Data + AI Platform to accelerate lending and risk decisions with explainable AI grounded in unified customer and behavioral data. - Mastercard's payments fraud detection with Databricks (Mastercard · Financial Services · Added by AntSpace from public sources (databricks.com))
Upcoming events
- The Emerging Blueprint for Agentic Apps (Webinar · November 10, 2026 · Online)
- Data + AI Live: Context Is Just the Beginning (November 11, 2026 · Online)
- Data + AI Summit 2027 (Conference · June 15, 2027 · San Francisco, USA)
Documents
- Executive Guide to Financial Crime Defense (Free sign-up required · Guide · PDF · November 5, 2026 · Databricks Data + AI Platform · Added by AntSpace from public sources (databricks.com))
It details how to combine entity resolution, graph analytics, and AI to automate investigations and reduce false positives. - The Big Book of GenAI (Guide · PDF · November 5, 2026 · Agent Bricks · Added by AntSpace from public sources (databricks.com))
This technical guide provides best practices and architectural patterns for developing production-quality generative AI applications. It is designed to help technical teams and developers move from AI experiments to enterprise impact by focusing on quality and reliability.
Locations
- World Headquarters · San Francisco, USA (headquarters)
- Bellevue office · Bellevue, USA
- Cambridge office · Cambridge, USA
- Chicago office · Chicago, USA