The IPO window may have cracked open, but it seems some former startups have no intention of going public. Makes sense, in a way: IPOs were traditionally a way to raise money, and if you can manage to ...

Nov 30 (Reuters) - Data analytics firm Databricks is in talks to raise $5 billion at a valuation of $134 billion, which is roughly 32 times this year's expected sales of about $4.1 billion, The ...

These handy e-paper devices let you write notes, sketch ideas, and even read books—and they're on sale for Cyber Monday. I love a digital notebook. I write about them all year long here at WIRED, and ...

This repo serves as a central hub for visualizing and understanding the intricate architectures and orchestrated workflows that power modern data operations and analytics solutions. Whether you're a ...

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 ...

What if your notebook could think with you, not just for you? Imagine a tool that doesn’t just store your notes but actively helps you connect ideas, solve problems, and even learn faster. That’s the ...

Enterprise software giant SAP SE is expanding its Business Data Cloud offering and doubling down on AI-ready data architectures, with product roll-outs and enhancements focused on bringing data and AI ...

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.

Databricks announced it is acquiring Mooncake Labs to accelerate its vision of a Lakebase—a new category of OLTP database built on Postgres and optimized for AI agents. With Lakebase, developers gain ...

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, ...