Databricks, a company initially known for its big data analytics platform, has announced a new funding round that places its valuation at an impressive $188 billion. The investment, led by Coatue, is expected to close later this summer, with reports suggesting around $3 billion has been raised. This latest development underscores Databricks' successful pivot to an AI-focused enterprise, a transition that has seen its valuation skyrocket in recent years.
The company's fundraising trajectory has been remarkable. Just five months ago, in February, Databricks secured $5 billion in a Series L round at a $134 billion valuation. This followed a $1 billion raise at a $100 billion valuation in September 2025, and a record-breaking $10 billion funding round in December 2024, which valued the company at $62 billion. This consistent influx of capital highlights strong investor confidence in its new direction, driven by its strategic positioning in the burgeoning AI market.
Founded in 2013, Databricks initially excelled by providing software that allowed businesses to efficiently store and analyse vast amounts of data in the cloud. This foundational strength in handling enterprise data proved to be a significant advantage as the demand for secure and governed AI solutions grew. The company has since launched a suite of AI-centric products, including Lakebase, an AI-agent-specific database, and Unity, an AI gateway, further solidifying its presence in the artificial intelligence landscape.
A key aspect of Databricks' strategy and growing appeal lies in its advocacy for more affordable, open-weight AI models. The company has notably championed Chinese-based open-weight models, such as Z.ai's GLM 5.2, particularly for coding tasks. Recent internal benchmarking shared by CEO Ali Ghodsi demonstrated that open models could handle complex coding tasks for its 3,000 software engineers at a significantly lower cost compared to proprietary models from providers like Anthropic and OpenAI, without compromising quality. The research also highlighted the crucial role of 'harnesses' – agentic coding tools – in managing costs and context effectively.
This strategic focus on cost-efficient, open-source AI solutions, combined with its robust enterprise data infrastructure, has enabled Databricks to carve out a unique and highly valued niche in the AI sector. The company's ability to evolve from a 'yesteryear SaaS sensation' to a leading AI provider showcases the significant impact of the 'AI-halo effect' on company valuations in the current technological climate.