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Databricks
What Does Databricks Do?
Databricks is a data and AI company, founded by the original creators of Apache Spark™, Delta Lake, and MLflow. The company pioneered the Lakehouse platform, which unifies data warehousing and data lakes to provide a single, collaborative environment for data engineering, data science, machine learning, and business analytics. Databricks empowers organizations to tame their data, build robust data pipelines, train and deploy machine learning models at scale, and derive actionable insights to drive innovation and business outcomes. Their platform is designed to handle all data types and workloads, from batch processing to real-time streaming, enabling customers to accelerate their journey to becoming data-driven and AI-powered enterprises.
Where Is Databricks's Headquarters?
HQ Function
The San Francisco headquarters serves as the central hub for Databricks's executive leadership, core product development, engineering, research, marketing, sales strategy, and global administrative operations.
Notable Features:
Situated in a modern office building in the heart of San Francisco's SoMa (South of Market) district, a vibrant tech hub. The office is designed to foster collaboration and innovation with open workspaces and state-of-the-art facilities.
Work Culture:
Databricks fosters a fast-paced, innovative, and collaborative work culture. Employees often describe it as intellectually stimulating, with a strong emphasis on problem-solving, data-driven decision-making, and contributions to open-source technologies. There's a focus on customer obsession and empowering data teams worldwide.
HQ Significance:
Its location in San Francisco provides strategic advantages, including proximity to a rich talent pool from leading universities and tech companies, access to venture capital, and opportunities for partnerships within the global technology ecosystem. It's central to their global strategy and operations.
Values Reflected in HQ: The headquarters' design and atmosphere likely reflect Databricks's core values such as innovation, customer obsession, teamwork, ownership, and a commitment to open source principles and data-driven insights.
Location:
Databricks maintains a significant global presence with offices and operations strategically located across North America, Europe, Asia-Pacific, and Latin America. This worldwide network supports a range of functions including sales, engineering, product development, customer success, professional services, marketing, and research. By establishing regional hubs and local teams, Databricks ensures it can provide tailored support and solutions to its diverse international client base, helping organizations across various industries and geographies unlock the power of their data and AI initiatives.
Street Address:
160 Spear Street, 13th Floor
City:
San Francisco
State/Province:
California
Country:
USA
Where Else Does Databricks Operate Around the World?
Amsterdam, Netherlands
Address: Singel 258, 1016 AB Amsterdam, Netherlands
To drive Databricks's growth and adoption of the Lakehouse platform in the EMEA region, cater to local data compliance and sovereignty needs, and build a strong ecosystem of customers and partners.
London, United Kingdom
Address: The Bower, 207 Old Street, London, EC1V 9NR, UK
To expand Databricks's market share within the UKI, support key industries like finance and retail, and leverage London's status as a global tech and talent center.
Sydney, New South Wales, Australia
Address: Level 31, Tower One, International Towers, 100 Barangaroo Avenue, Barangaroo NSW 2000, Australia
To accelerate Databricks's expansion across the APJ market, build strong customer and partner relationships, and adapt offerings to meet diverse regional business needs and data trends.
Bangalore, India
Address: Prestige Technostar, Doddanakundi Industrial Area 2, Phase 1, Brookefield, Bengaluru, Karnataka 560048, India
To leverage India's vast tech talent pool for innovation and product development, support global operations, and expand Databricks's presence in the Indian market.
Buying Intent Signals for Databricks
Highperformr Signals uncover buying intent and give you clear insights to target the right accounts at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Who's Leading Databricks? Meet the Executive Team
As of April 2025, Databricks' leadership includes:
Who's Investing in Databricks?
Databricks has been backed by several prominent investors over the years, including:
What Leadership Changes Has Databricks Seen Recently?
Databricks has seen strategic additions to its leadership team over the past year, reflecting its continued growth and focus on scaling its operations globally. Key changes include strengthening its financial leadership and expanding regional executive presence.
Departures
New Appointments:
What Technology (Tech Stack) Is Used byDatabricks?
Discover the tools Databricks uses. Highperformr reveals the technologies powering your target accounts — helping your sales, marketing, and GTM teams prioritize smarter and close faster.
Databricks Email Formats and Examples
Databricks primarily uses the 'first.last@databricks.com' email format for its employees. This is a common pattern among technology companies and is generally reliable for reaching out to individuals within the organization if you know their name.
first.last@databricks.com
Format
jane.doe@databricks.com
Example
90%
Success rate
What's the Latest News About Databricks?
Databricks Blog • March 26, 2024
Databricks Introduces DBRX: A New State-of-the-Art Open LLM
Databricks announced the release of DBRX, a new open-source large language model (LLM) that it claims outperforms other open models like Llama 2, Mixtral, and Grok-1 on standard benchmarks. DBRX is designed for efficiency and is available for enterprises to build custom generative AI applications, marking a significant step in democratizing powerful AI tools....more
TechCrunch • February 7, 2024
Databricks Acquires AI Startup Einblick to Enhance AI Capabilities
Databricks announced its acquisition of Einblick, an AI-native data notebook platform. This strategic move aims to integrate Einblick's natural language data exploration and collaboration features into the Databricks Lakehouse Platform, further strengthening its AI and machine learning offerings and making advanced data analysis more accessible to a wider range of users....more
Databricks Blog • August 14, 2023
Databricks Completes Acquisition of MosaicML
Databricks announced the completion of its acquisition of MosaicML, a platform for training large language models, for approximately $1.3 billion. This acquisition significantly enhances Databricks' capabilities for customers to build and train their own generative AI models efficiently and cost-effectively....more
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