Asset Manager

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Databricks

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and...

Databricks

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

General information

Firm type

Asset Manager

Year founded

2013

AUM

Undisclosed

Location

Region

North America

Country

United States

City

San Francisco

Corporate office

San Francisco, CA, United States

Principals

Ali Ghodsi

Co-Founder & CEO

Sector focus

AI/MLEnterprise SoftwareData & Analytics

Frequently asked questions

Who runs investment decisions at Databricks Ventures?

Databricks Ventures is the corporate venture capital arm of Databricks. It makes strategic investments in companies that build on or integrate with the Databricks platform. The fund is managed internally by a dedicated team operating under Databricks's corporate structure, though specific decision-makers are not publicly detailed.

How does Databricks source its strategic investments?

Databricks Ventures sources investments through partnerships with the broader Databricks ecosystem, including its network of over 1,200 cloud, ISV, and consulting partners. It focuses on companies that extend the platform's capabilities in data, analytics, and AI, often identifying targets through technical integration work and joint customer engagements.

Does Databricks operate like a venture firm or a corporate strategic investor?

Databricks operates a corporate venture arm, Databricks Ventures, which makes strategic investments rather than functioning as a traditional venture firm seeking purely financial returns. The primary goal is to accelerate the ecosystem around its Data Intelligence Platform, and returns are measured in platform adoption and technology integration.

Which sectors does Databricks Ventures explicitly focus on?

Databricks Ventures concentrates on companies building within the data, analytics, and AI ecosystem. This includes data engineering tooling, open-source monetization plays, machine learning operations (MLOps) startups, and vertical AI applications that can leverage the Databricks Lakehouse. It explicitly avoids sectors disconnected from the enterprise data stack.

How is Databricks related to Apache Spark and other open-source projects?

Databricks was founded by the original creators of Apache Spark, Delta Lake, MLflow, and Unity Catalog. The company leads the commercial development of these projects while remaining their primary corporate steward. This relationship means Databricks provides a managed, enterprise-grade version of software that millions of engineers already use in its open-source form.

What is Databricks's known posture on co-investments alongside external VCs?

Databricks Ventures typically invests as a strategic co-investor alongside traditional venture capital firms. Its terms are usually structured to align with ecosystem growth rather than to lead rounds, and it frequently partners with top-tier VCs that have prior relationships with both Databricks and the portfolio company.

Where does the underlying capital for Databricks Ventures come from?

Capital for Databricks Ventures is allocated from Databricks's corporate balance sheet. As a private, venture-backed company that has raised billions in funding from investors including Andreessen Horowitz, Tiger Global, and BlackRock, Databricks earmarks a portion of its treasury for strategic ecosystem investments.

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