AWS outlined a series of improvements to its S3 service to manage metadata automatically, leverage Apache Iceberg tables and optimize for analytics workloads with Amazon S3 Tables. Also on the data front, AWS moved to reduce latency for its databases.
Oracle said that customers can now access Oracle Database@AWS in limited preview. The limited availability landed just a few weeks after Oracle and AWS announced their partnership.
At its MongoDB.local London event, MongoDB 8.0 went to GA along with other enhancements to the company's Atlas platform. MongoDB 8.0 is available on AWS, Google Cloud and Microsoft Azure through MongoDB Atlas, MongoDB Enterprise Advanced for on-premises users and MongoDB Community Addition.
Oracle and Amazon Web Services announced a strategic partnership to complete CTO Larry Ellison's multicloud trifecta. Oracle first partnered with Microsoft Azure, then Google Cloud and now AWS. Oracle also delivered strong cloud revenue growth in the first quarter.
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.
