Databricks Valuation Hits $188 Billion Amid Shift to AI Infrastructure
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The company's latest funding round underscores a strategic pivot toward open-weight model efficiency and enterprise data governance.
Databricks announced a new funding round led by Coatue that values the company at $188 billion, according to TechCrunch. While the company did not disclose the exact amount raised, other outlets report the figure is approximately $3 billion. This follows a series of rapid valuations: $134 billion in February, $100 billion in September 2025, and $62 billion in December 2024.
Originally founded in 2013 as a big data firm, Databricks has transitioned its image into an AI provider by leveraging its existing enterprise data storage and analytics capabilities. TechCrunch reports the company has introduced several AI-focused products, including the Lakebase database for AI agents, the Unity AI gateway, and a management "meta-harness" known as Omnigent.
Beyond infrastructure, Databricks is positioning itself as a proponent of cost-effective, open-weight models. CEO Ali Ghodsi recently shared internal benchmarking involving the company's 3,000 software engineers, which TechCrunch reports found that open models—specifically Z.ai’s GLM 5.2—could handle high-difficulty coding tasks at a lower cost than proprietary models from OpenAI and Anthropic.
The company's research also highlighted the importance of the "harness" used to manage model context. Databricks identified the open-source harness Pi as one of the most cost-effective options for managing prompt context without compromising quality, concluding that model choice is only one part of the overall cost and performance puzzle.