Databricks Inc. is in the process of finalizing a funding round that will value it at $118 billion.

Couchbase unveiled a unified data infrastructure layer for enterprise AI agents. Dubbed the AI Data Plane, the layer seeks to provide an operational stratum for AI agents with persistent memory, ...

Couchbase AI Data Plane combines persistent agent memory, vector search and an enterprise MCP server that runs on-device when cloud connectivity drops.

In this photo illustration, the Coinbase webpage is seen on a computer screen on February 12, 2026 in Miami, Florida. Coinbase Global, Inc. is expected to release earnings results for its fourth ...

Databricks said annualized revenue has jumped more than 80% from a year earlier and now sits at $6.9 billion, up from a figure of $5.4 billion in the fiscal fourth quarter. While Databricks is ...

Databricks is releasing AI agents that help professionals get answers from their business data, aiming to expand beyond its core data offerings and showcase its staying power in the ...

SAN FRANCISCO, June 16 (Reuters) - Databricks said on Tuesday it had agreed to buy startup Panther Labs, as the U.S. data analytics provider pushes deeper into the cybersecurity business.

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Databricks CEO and co-founder Ali Ghodsi asserts that enterprise AI's true bottleneck lies ...

Databricks Inc. is using its Data + AI Summit today in San Francisco to unveil a new data architecture designed to eliminate one of enterprise computing’s oldest bottlenecks: the separation between ...

As it eyes its next funding round, the management software company Databricks is aiming to net a valuation of up to $175 billion. Last week, Ali Ghodsi, the startup’s co-founder and CEO, said that ...

Explainer: What is the EU's emissions trading system? Reuters, the news and media division of Thomson Reuters, is the world’s largest multimedia news provider, reaching billions of people worldwide ...

Prompt caching has become a vital strategy for managing the rising costs of large language model (LLM) operations. By reusing previously computed data, this approach minimizes redundant computations, ...