SurrealDB raised $20 million in venture capital to bring its total to $26 million. The bet: Multi-model databases will be critical to enterprises looking to consolidate multiple databases so developers can move faster.
Customers using MongoDB Atlas Vector Search and Atlas Search Nodes include AT&T Cybersecurity, Pathfinder Labs and UKG.
Oracle outlined a handful of MySQL HeatWave advances with the most notable being Lakehouse availability on Amazon Web Services as well as innovations that make the platform more autonomous.
Oracle futureproofed its database with AI vector search and large language (LLM) support in Oracle Database 23c as it melds generative AI applications with enterprise transactional data.
MongoDB raised its outlook for the third quarter after delivering strong second-quarter results. The earnings land after a bevy of MongoDB launches focused on generative AI workloads.
While enterprises are training LLMs and looking for competitive advantage, new revenue streams are going to appear in surprising places.
MongoDB added Atlas Vector Search and Atlas Stream Processing to its MongoDB Atlas platform along with other enhancements as it aims to be the top choice for data application developers.
The E5 AMD-powered instances on Oracle Cloud Infrastructure are designed for standard, high-performance computing and Dense-IO workloads.
