MongoDB Announces New Capabilities for MongoDB Atlas to Streamline Building Modern Applications
NEW YORK, May 2, 2024 /PRNewswire/ -- MongoDB, Inc. (NASDAQ: MDB) today at its developer conference MongoDB.local NYC announced new capabilities for MongoDB Atlas that make it faster and easier to build, deploy, and run modern applications with the performance and scale organizations require. MongoDB Atlas is the most widely distributed developer data platform in the world, and tens of thousands of customers and millions of developers rely on its industry-leading operational database and integrated data services to power business-critical applications across cloud providers. The general availability of MongoDB Atlas Stream Processing makes it easier to use real-time data from a wide variety of sources to run highly responsive applications. MongoDB Atlas Search Nodes on Microsoft Azure give organizations more flexibility for optimizing the performance and cost of generative AI workloads that drive intelligent applications at scale. MongoDB Atlas Edge Server reduces the complexity of managing data for distributed applications that span locations from the cloud to on premises to devices at the edge.
- The general availability of MongoDB Atlas Stream Processing makes it easier to use real-time data from a wide variety of sources to run highly responsive applications.
- The additional services we're launching today for MongoDB Atlas not only make it easier to build, deploy, and run modern applications, but also make it easier to optimize performance while reducing costs."
- Optimize the performance and efficiency of generative AI applications: MongoDB Atlas Search Nodes—generally available on AWS and Google Cloud, and now in preview on Microsoft Azure—provide dedicated infrastructure for generative AI and relevance-based search workloads that use MongoDB Atlas Vector Search and MongoDB Atlas Search.
- With MongoDB Atlas Edge Server, organizations can seamlessly run highly available, modern applications closer to end-users with less complexity.