(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 ...

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 ...

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 ...

A metadata-driven framework for orchestrating Databricks Lakeflow Jobs. Package as a library and run as a single task in a Lakeflow Jobs to continuously monitor for metadata changes and automatically ...

Update: The revised post updates with details from Databricks. San Francisco-based data analytics firm Databricks is in talks to raise funds at a valuation of more than $130 billion, almost 30% above ...

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 ...

There is a lot of enterprise data trapped in PDF documents. To be sure, gen AI tools have been able to ingest and analyze PDFs, but accuracy, time and cost have been less than ideal. New technology ...

For VisitBritain, data has always been part of the story. As the UK’s national tourism agency, it depends on accurate insight to help regions, small businesses, and policymakers make better decisions.

Databricks recently reached a valuation exceeding $100 billion following its latest funding round, joining the elite group of most-valuable private companies like SpaceX, ByteDance and OpenAI.

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, ...