SurrealDB 3.0 launches with $23M in new funding and a pitch to replace multi-database RAG stacks with a single engine that handles vectors, graphs, and agent memory transactionally.

SurrealDB Inc. today revealed that it has raised an additional $23 million in funding for its multimodel artificial intelligence-native database.

Forbes contributors publish independent expert analyses and insights. Fintech lawyer covering consumer finance, innovation and compliance. Happy entrepreneur uses a cellphone for online shopping and ...

I am using the Java Embedded mechanism. It runs the WAL Purge job about every 10 seconds or so. It runs the WAL Apply Job after every write. There were over 500000 records in the database. I'm doing a ...

President Donald Trump allegedly plans on developing a database of Americans' private information, according to The New York Times. On Friday, the Times reported that the White House had contracted ...

The World Economic Outlook (WEO) database contains selected macroeconomic data series from the statistical appendix of the World Economic Outlook report, which presents the IMF staff's analysis and ...

GameSpot may get a commission from retail offers. While you may be limited to which version of Minecraft you can play based on the device you're using, there are some important differences between ...

ITTIA’s DB Lite is a database engine that runs on platforms like Arm Cortex-M. DB Lite offers a C/C++ interface with its own query functions rather than SQL-style queries that have significantly more ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. Banks used to wait for customers to come to them—now they meet ...

CData Software, a leading provider of data connectivity solutions, is announcing the launch of CData Embedded Cloud, backdropped by the company’s significant momentum in its embedded connectivity ...

Learn how to use vector databases for AI SEO and enhance your content strategy. Find the closest semantic similarity for your target query with efficient vector embeddings. A vector database is a ...