Data Bricks
A data and AI company cited by Brad Gerstner as a beneficiary of the AI boom, showing reaccelerating growth because its platform is critical for managing data used by AI models.
First Mentioned
2/7/2026, 11:23:51 PM
Last Updated
2/7/2026, 11:26:29 PM
Research Retrieved
2/7/2026, 11:26:29 PM
Summary
Databricks is a global leader in data and artificial intelligence, founded in 2013 by the creators of Apache Spark. The company provides a unified Data Intelligence Platform built on an open lakehouse architecture, designed to help organizations build and scale AI applications and analytics. Headquartered in San Francisco, Databricks serves over 20,000 customers, including more than 60% of the Fortune 500, such as AT&T, Shell, and Mastercard. In 2025, the company significantly expanded its ecosystem by launching Agent Bricks for no-code AI agent development and Lakebase, a serverless transactional database, while establishing key partnerships with major AI and cloud providers like Anthropic, Google, and AWS.
Referenced in 1 Document
Research Data
Extracted Attributes
CEO
Ali Ghodsi
Founded
2013-01-01
Industry
Software Development and AI
Headquarters
San Francisco, California, US
Key Products
Data Intelligence Platform, Agent Bricks, Lakebase, Unity Catalog, Databricks SQL
Customer Base
20,000+ organizations (including 60% of Fortune 500)
Revenue Milestone
$1 billion revenue run rate for Databricks SQL
Timeline
- Databricks is founded by the original creators of Apache Spark and the lakehouse architecture. (Source: Databricks About Us)
2013-01-01
- Databricks collaborates with Wiz and Workday to integrate 'Buy with AWS' functionality on the AWS marketplace. (Source: Wikipedia)
2024-12-01
- Databricks and Anthropic form a strategic partnership to drive AI-related revenue growth. (Source: Web Search (WSJ))
2025-03-26
- Databricks launches Agent Bricks, a no-code AI agent builder, and Lakebase, a serverless transactional database, at the Data + AI Summit. (Source: Wikipedia)
2025-06-11
- Databricks enters a deal with Google to host Gemini AI models on its platform. (Source: Web Search (The Information))
2025-11-25
Wikipedia
View on WikipediaBrick
A brick is a type of building material used to build walls, pavements, and other elements in masonry construction. Properly, the term brick denotes a unit primarily composed of clay, but it is now also used informally to denote building units made of other materials or other chemically cured construction blocks. Bricks can be joined using mortar, adhesives or by interlocking. Bricks are usually produced at brickworks in numerous classes, types, materials, and sizes which vary with region, and are produced in bulk quantities. Block is a similar term referring to a rectangular building unit composed of clay or concrete, but is usually larger than a brick. Lightweight bricks (also called lightweight blocks) are made from expanded clay aggregate. Fired bricks are one of the longest-lasting and strongest building materials, sometimes referred to as artificial stone, and have been used since c. 4000 BC. Air-dried bricks, also known as mudbricks, have a history older than fired bricks, and have an additional ingredient of a mechanical binder such as straw. Bricks are laid in courses and numerous patterns known as bonds, collectively known as brickwork, and may be laid in various kinds of mortar to hold the bricks together to make a durable structure.
Web Search Results
- Databricks
Databricks (6h Edited): "Software engineers are not going to stop using AI to build software, and those applications need a database, which is why we built Lakebase. Teams also increasingly want to use agents, which is why we built Agent Bricks. We’re continuing to invest in these foundations to help customers build data-intelligent applications." Databricks CEO and co-founder Ali Ghodsi joined Bloomberg to discuss Databricks' record growth and how our latest funding round will support accelerated investment in products to help customers build AI apps and agents on their proprietary data. [Likes: 178, Comments: 3]; Databricks (1d): Data collaboration is the backbone of modern AI innovation, especially as organizations work with external partners to unlock new insights. Databricks Clean [...] ## Overview Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool). ### Website ### Crunchbase ### LinkedIn ### Industry Software Development [...] 160 Spear Street, 13th Floor, San Francisco, CA 94105, US, Fora 22 Berners Street, London, England W1T 3LP, GB, Barbara Strozzilaan 350, 2nd floor, Amsterdam, HN 1083, NL, 11 W 42nd St, 30th Floor, New York, NY 10036, US, 120 Adelaide St W, Toronto, Ontario M5H, CA, 109 North Bridge Road, Singapore, 179097, SG, 2033 6th Ave, Suite 600, Seattle, WA 98121, US, 100 W Evelyn Ave, Suite 210, Mountain View, California 94041, US, 1660 International Drive, Suite 600, McLean, VA 22102, US, 7300 Lone Star Dr, Plano, Texas 75024, US, 500 108th Ave NE, Suite 1100, Bellevue, Washington 98004, US, 1 Lincoln Street, Office 26-115, Boston, MA 02111, US, 2120 University Ave, Suite 722, Berkeley, California 94704, US, Techspace Köpenicker, Straße 40-41, Berlin, Germany 10179, DE, Herzogspitalstraße 24,
- Databricks
In addition to building the Databricks platform, the company has co-organized massive open online courses about Spark( and a conference for the Spark community called the Data + AI Summit,( formerly known as Spark Summit.( source needed_] At the 2025 Data + AI Summit, Databricks introduced Agent Bricks, a development platform for AI agents,( Lakebase, a transactional database,( and Databricks One, a no-code AI business intelligence platform.( The company also disclosed its Databricks SQL product would grow to a $1 billion revenue run rate.( ### Collaborations [edit] In December 2024, Databricks along with Wiz and Workday has decided to run their products on top of AWS via the new button called "Buy with AWS".( [...] 70. ^"Databricks to run two massive online courses on Apache Spark". _Databricks_. December 2, 2014. Archived from the original on January 13, 2022. Retrieved December 16, 2016. 71. ^"Data + AI Summit". _Databricks_. Archived from the original on April 23, 2022. Retrieved April 8, 2021. 72. ^Highlights from DATA+AI Summit 2021 Towards Data Science. June 27, 2021 73. ^Lardinois, Frederic (June 11, 2025). "Databricks Launches Agent Bricks, Its New No-Code AI Agent Builder". _The New Stack_. Retrieved December 16, 2025. 74. ^"Following Neon acquisition, Databricks launches serverless Lakebase database". _SiliconANGLE_. June 11, 2025. Retrieved December 16, 2025. [...] 19. ^Lin, Belle (March 26, 2025), _Anthropic, Databricks Team Up in Scramble for AI Revenue_, The Wall Street Journal, retrieved March 30, 2025 20. ^"Databricks Inks Deal With Google to Host Gemini Models". _The Information_. Retrieved November 25, 2025. 21. ^Lardinois, Frederic (June 11, 2025). "Databricks Launches Agent Bricks, Its New No-Code AI Agent Builder". _The New Stack_. Retrieved November 25, 2025. 22. ^"Following Neon acquisition, Databricks launches serverless Lakebase database". _SiliconANGLE_. June 11, 2025. Retrieved November 25, 2025. 23. ^SHRIVASTAVA", "RASHI. "Forbes 2025 AI 50 List - Top Artificial Intelligence Companies Ranked". _Forbes_. Retrieved January 8, 2026.
- Databricks: Leading Data and AI Platform for Enterprises
# AI agents trained on your business data ### Use Agent Bricks to build, train and deploy AI agents that work Explore the productSee demos Boost GenAI ROI with AI agents Real-world examples of AI agents in action Get the eBook PLATFORM ## The Databricks Data Intelligence Platform Databricks brings AI to your data to help you bring AI to the world. ### Succeed with AI Develop generative AI applications on your data without sacrificing data privacy or control. ### Democratize insights Empower everyone in your organization to discover insights from your data using natural language. ### Drive down costs Gain efficiency and simplify complexity by unifying your approach to data, AI and governance. Explore the platformFind an event Boost GenAI ROI with AI agents [...] Read noweBook Learn data engineering best practices Read now See more resources ## Ready to become a data + AI company? Take the first steps in your transformation Browse demosTry it free [...] Boost GenAI ROI with AI agents Real-world examples of AI agents in action Get the eBook The Data Intelligence Platform for Dummies Accelerate ETL, data warehousing, BI and AI Get the eBook Generative AI Fundamentals Learn how to use LLMs and more in your organization with 4 short videos Start free training USE CASES ## Unify all your data + AI ### Build better AI with a data-centric approach Great models are built with great data. With Databricks, lineage, quality, control and data privacy are maintained across the entire AI workflow, powering a complete set of tools to deliver any AI use case. Create, tune and deploy your own generative AI models Automate experiment tracking and governance Deploy and monitor models at scale See how Schedule demo
- What is Databricks? | Databricks on AWS
Databricks Logo Databricks Logo # What is Databricks? Databricks is a unified, open analytics platform for building, deploying, sharing, and maintaining enterprise-grade data, analytics, and AI solutions at scale. The Databricks Data Intelligence Platform integrates with cloud storage and security in your cloud account, and manages and deploys cloud infrastructure for you. Databricks data intelligence platform Databricks data intelligence platform Databricks uses generative AI with the data lakehouse to understand the unique semantics of your data. Then, it automatically optimizes performance and manages infrastructure to match your business needs. [...] ## Data warehousing, analytics, and BI Databricks combines user-friendly UIs with cost-effective compute resources and infinitely scalable, affordable storage to provide a powerful platform for running analytic queries. Administrators configure scalable compute clusters as SQL warehouses, allowing end users to execute queries without worrying about any of the complexities of working in the cloud. SQL users can run queries against data in the lakehouse using the SQL query editor or in notebooks. Notebooks support Python, R, and Scala in addition to SQL, and allow users to embed the same visualizations available in legacy dashboards alongside links, images, and commentary written in markdown. ## Data governance and secure data sharing [...] Databricks provides tools for data ingestion, including Auto Loader, an efficient and scalable tool for incrementally and idempotently loading data from cloud object storage and data lakes into the data lakehouse. ## Machine learning, AI, and data science Databricks machine learning expands the core functionality of the platform with a suite of tools tailored to the needs of data scientists and ML engineers, including MLflow and Databricks Runtime for Machine Learning. ### Large language models and generative AI
- About Databricks: The data and AI company
# Databricks is the data and AI company With the Data Intelligence Platform, Databricks democratizes insights to everyone in an organization. Built on an open lakehouse architecture, the Data Intelligence Platform provides a unified foundation for all data and governance, combined with AI models tuned to an organization’s unique characteristics. Now, anyone in an organization can benefit from automation and natural language to discover and use data like experts, and technical teams can easily build and deploy secure data and AI apps and products. With origins in academia and the open source community, Databricks was founded in 2013 by the original creators of the lakehouse architecture and open source projects Apache Spark™, Delta Lake, MLflow and Unity Catalog. Explore the Platform [...] Explore the Platform Today, more than 15,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Headquartered in San Francisco, with offices around the world, Databricks is on a mission to simplify and democratize data and AI, helping data and AI teams solve the world’s toughest problems. Databricks has 1,200+ global cloud, ISV and consulting partners that provide data, analytics and AI solutions and services to our joint customers to help scale initiatives with Databricks. Explore Customer Stories See Partners ## Customers ## Leadership ### Executive team Meet our executives ### Founders Meet our founders [...] Meet our executives ### Founders Meet our founders ### Board of directors Meet our board ## Investors
Location Data
Databricks, 500, 108th Avenue Northeast, Bellevue, King County, Washington, 98004, United States
Coordinates: 47.6151132, -122.1959492
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