Databricks Valuation Surges to $188 Billion in Coatue-Led Funding Round

Databricks has announced a new funding round led by Coatue, valuing the enterprise data and analytics company at $188 billion. The transaction, which marks a significant escalation in the firm’s capitalisation, is expected to close later in the summer. While Databricks did not disclose the precise amount of capital raised, stating that funds are not yet in its possession, external reports suggest the company is targeting an raise of approximately $3 billion.

The announcement underscores Databricks’ strategic repositioning from a legacy software-as-a-service provider to a central player in the artificial intelligence sector. This valuation follows a rapid series of fundraising rounds over the past 18 months, including a $5 billion Series L raise in February at a $134 billion valuation and a $10 billion round in December 2024 at $62 billion. The frequency of these raises has become a notable feature of the company’s growth trajectory, with the latest round pushing its valuation well beyond previous highs.

A key driver of this renewed investor interest is the company’s focus on cost-effective coding solutions using open-weight models. Databricks has increasingly championed models such as Z.ai’s GLM 5.2, which allows enterprises to utilise software whose underlying code is published for modification. The company argues that this approach offers a viable alternative to proprietary models from competitors like Anthropic and OpenAI, particularly for enterprises seeking to maintain security and governance standards while controlling costs.

To substantiate this strategy, Databricks published internal benchmarking results comparing AI models on the actual tasks performed by its 3,000 software engineers. CEO Ali Ghodsi shared data indicating that open models, specifically GLM 5.2, can handle high-difficulty coding tasks at a lower total cost than proprietary alternatives. The research highlighted that the choice of agentic coding tool, or harness, significantly impacts overall expenses, with the open-source harness Pi identified as one of the most cost-effective options for managing context.

Despite the high valuation, the deal remains pending final closure. A venture capitalist told TechCrunch that the round is solid, citing high demand from multiple firms as evidence of the deal’s strength. The company’s ability to attract capital at this level reflects a broader market trend where enterprises are prioritising AI infrastructure that balances innovation with the rigorous data governance requirements of traditional corporate environments.