Databricks Secures $1 Billion at $28 Billion Valuation to Fuel AI Acquisitions
Databricks closes a massive $1 billion Series G funding round led by Franklin Templeton, reaching a $28 billion valuation. The data and AI company plans to use the capital to acquire machine learning and data startups.
Databricks announces the close of a $1 billion Series G funding round, bringing its post-money valuation to $28 billion. This massive round stands as the largest to date for the San Francisco-based data analysis and AI company. New investor Franklin Templeton leads the round, with significant participation from tech giants and financial institutions including Amazon Web Services (AWS), Salesforce Ventures, Fidelity Management, and the Canada Pension Plan Investment Board.
CEO Ali Ghodsi emphasizes that a major driver behind this funding is strengthening strategic, symbiotic partnerships with cloud providers. He explains that Databricks focuses on building solutions for data lakes, which he believes hold the vast majority of cloud data. Furthermore, Ghodsi points out that the company dedicates a significant portion of his time to a new merger and acquisition strategy funded by this round, specifically targeting machine learning and data startups with a strong interest in natural language processing.
Looking ahead, Ghodsi identifies the democratization of data and AI tools for non-technical business users as a major ongoing trend shaping the company's future. He states that enterprises must leverage data and AI strategically to survive, comparing this shift to Google's evolution over the past decade. This new capital follows previous funding rounds led by Andreessen Horowitz and NEA, which previously helped finance the development of Databricks' Unified Analytics platform, Delta Lake, and MLFlow.