Four months after its last funding round, Databricks Inc. today announced that it has closed an extremely late-stage investment worth more than $4 billion. The Series L round was jointly led by ...

(Bloomberg/Mark Bergen and Brody Ford) — Databricks is raising over $4 billion in a new funding round that values the software firm at $134 billion, another example of how some tech companies are ...

Databricks is raising over $4 billion in Series L funding that would value the data-analytics and artificial-intelligence software company at $134 billion, an increase of 34% from its last funding ...

There is no shortage of AI benchmarks in the market today, with popular options like Humanity's Last Exam (HLE), ARC-AGI-2 and GDPval, among numerous others. AI agents excel at solving abstract math ...

Data analytics company Databricks is in discussions to raise about $5B at a $134B valuation, which is nearly 32 times this year's expected sales of about $4.1B, The Information reported, citing ...

Databricks is turning heads amid reports of a major new funding round following strong sales growth over the course of this year. The fast-growing AI and data analytics firm is looking to raise $5 ...

As everyone from OpenAI co-founder Sam Altman to armchair economists debate whether we’re in an AI bubble, Databricks’ latest fundraising effort suggests at least some investors are still willing to ...

Data intelligence company Databricks is reportedly already in talks to raise fresh capital, just a few months after its last fundraise. Databricks is holding conversations to raise a funding round ...

Nov 17 (Reuters) - Data analytics firm Databricks is in talks to raise funds at a valuation of more than $130 billion, about 30% higher than its last financing round two months ago, The Information ...

Databricks explores funding above $130B even as warnings of an AI bubble intensify. Investor exits from Nvidia highlight rising caution, but AI startup demand stays strong. Databricks expands its data ...

Many enterprises running PostgreSQL databases for their applications face the same expensive reality. When they need to analyze that operational data or feed it to AI models, they build ETL (Extract, ...