MDB - MongoDB Expands Collaboration with Google Cloud to Help Customers Across Industries Deploy and Scale New Classes of Applications | Benzinga
MongoDB Atlas Search Nodes now generally available on Google Cloud to make it easier and more cost-effective for customers to isolate and scale generative AI workloads
Google Cloud Vertex AI extension for MongoDB Atlas and new Spark integration with BigQuery make it even more seamless for customers to build generative AI applications with their proprietary data
MongoDB joins Google Cloud's Industry Value Network and introduces new MongoDB Atlas integration with Google Cloud Manufacturing Data Engine to help businesses build industry-specific solutions
MongoDB Enterprise Advanced on Google Distributed Cloud helps customers run applications that meet the most stringent security and data privacy requirements
LAS VEGAS, April 9, 2024 /PRNewswire/ -- MongoDB, Inc. (NASDAQ:MDB) today at Google Cloud Next '24 announced an expanded collaboration with Google Cloud to make it even easier and more cost-effective to build, scale, and deploy generative AI applications using MongoDB Atlas Vector Search and Vertex AI from Google Cloud, along with additional support for data processing with BigQuery. The companies are also collaborating on new industry solutions for retail and manufacturing, with deeper product integrations and solutions to provide a seamless development environment for creating engaging shopping experiences and data-driven applications for smart factories. For customers looking to run workloads that use highly sensitive data, MongoDB Enterprise Advanced (EA) is now available on Google Distributed Cloud (GDC).
"MongoDB's strong partnership with Google Cloud is the result of our close collaboration to meet the unique demands of organizations across industries," said Alan Chhabra, Executive Vice President of Partners at MongoDB. "Being awarded Google Cloud Partner of the Year—Marketplace is a testament to our commitment to providing the best solutions for customers building modern applications, while operating under the highest levels of security and data privacy requirements. We look forward to continuing to grow our partnership as more customers choose MongoDB and Google Cloud to enhance their businesses with new classes of generative AI applications."
"Customers continue to tell us they want world-class generative AI support built into the leading tools they already use, such as MongoDB," said Stephen Orban, Vice President of Migrations, ISVs, and Marketplace at Google Cloud. "MongoDB and Google Cloud have already helped thousands of joint customers successfully build and deploy applications with MongoDB Atlas on Google Cloud. We're excited to continue to build on this strategic partnership and provide even more ways for developers to quickly and effectively create and enhance applications with generative AI, including access to leading models through Vertex AI and automated data pipelines with BigQuery."
Partnered since 2018, MongoDB and Google Cloud have helped thousands of joint customers—including Keller Williams, Powerledger, Rent the Runway, and Ulta—adopt cloud-native data strategies to modernize how they run their organizations and serve end users. The expanded collaboration between MongoDB and Google Cloud now allows customers to:
- Seamlessly isolate and scale generative AI applications for high performance and efficiency: MongoDB Atlas Search Nodes—now generally available on Google Cloud—provide dedicated infrastructure for generative AI and relevance-based search workloads that use MongoDB Atlas Vector Search and MongoDB Atlas Search. MongoDB Atlas Search Nodes are independent of core operational database nodes and allow customers to isolate workloads, optimize costs, and reduce query times by up to 60 percent. For example, a financial services company running a high-traffic application during tax season can use dedicated infrastructure with Atlas Search Nodes to optimize performance independent of their database by isolating and scaling the generative AI portion of the workload. The company could then scale a knowledge retrieval workload that uses MongoDB Atlas Vector Search for AI-powered agents that autonomously take action on behalf of end users—without having to resize their entire database.
- Streamline building generative AI applications with leading foundation models: MongoDB Atlas Vector Search has provided an integration with Vertex AI since last year to give developers more choice of managed foundation models to build generative AI applications. Now, with ...