John Murray

2 results

Continued Excellence: MongoDB Receives Fourth Consecutive Google Cloud Partner of the Year Award

MongoDB and Google Cloud have closely partnered since 2018 to enable customers to build innovative applications through deep integrations and just reached another notable milestone. For the fourth year running, MongoDB has been honored as Google Cloud's Technology Partner of the Year, specifically in the category of Data & Smart Analytics. Over the past six years, the two companies have combined their strengths in advanced analytics and best-in-class database technology to drive innovation on behalf of customers. Throughout 2022, customer demand for our combined offerings became more pronounced, as evidenced by a surge in customers purchasing MongoDB on the Google Cloud Marketplace. MongoDB's integration with Google Cloud's products and services, like BigQuery and Google Application Integration, reached new levels, bringing customers more value through deepened integration. Furthermore, the collaborative endeavors expanded into domains such as Google Cloud’s foundation models and the emerging field of generative AI. Google & MongoDB focused on helping Startups especially those for Generative AI To make it easier for startups to embrace this joint innovation, earlier this year MongoDB announced the AI Innovators Program . Through the program, startups gain access to additional MongoDB Atlas Credits, accelerated partnership and marketing opportunities, and more. Early-stage companies can opt into this program when applying to MongoDB for Startups via the Google for Startups Cloud Program or our joint landing page , Startups can use these programs to develop and launch the AI capabilities that will set their business apart and launch them from ideation to IPO. BigQuery Partner Center Since 2017, MongoDB and Google Cloud have partnered to make BigQuery and MongoDB integration seamless. Most recently, Google designated MongoDB as Google Cloud Ready for BigQuery after validating the integration using a three-part process, including data integration tests and analysis of benchmarks. This validates that MongoDB Atlas has met a core set of functional and interoperability requirements when integrating with BigQuery, making it easier for customers to choose MongoDB Atlas in Google Cloud’s BigQuery Partner Center. Google Cloud Application Integration In the rapidly evolving realm of digital transformation, enterprises must deliver seamless and scalable solutions for their business operations in order to maintain a competitive edge. To fulfill these requirements, organizations frequently employ robust integration platforms like Google Clouds Application Integration. Functioning as an iPaaS (Integration Platform as a Service) solution within the Google Cloud ecosystem, Application Integration offers the capacity to construct integrations that link with numerous third-party applications through Integration Connectors. The MongoDB connector allows native operations such as insertion, updating, and deletion of document objects in MongoDB. The Google Cloud Application Integration simplifies the complex task of connecting data and applications for customers looking to build new applications. To get started with Google Cloud's Application Integration and MongoDB Atlas, read the documentation page . Summary Since partnering together MongoDB and Google Cloud have collaborated on many integrations to help companies achieve their goals and customers are taking notice. “Working with the right technology partners has helped us to avoid analysis paralysis that can happen when developer teams spend a lot of time trying to understand and manage every detail,” says Sethu Madhav Vure, IT Architect for Ulta Beauty. “Instead, we convert a proof of concept into a working solution, and quickly bring it to market. It’s been a major shift in our IT culture as we try out new things weekly and see incredible support from leadership,” Vure said. Ready to get started with MongoDB Atlas on Google Cloud? Check out our Google Cloud Marketplace listing to get started today. You can also learn more about our partnership on our Google integrations page .

August 29, 2023

Powerful Generative AI Innovation Accelerates Discovery of New Molecules

Since 2018, MongoDB and Google Cloud have collaborated to revolutionize the way companies interact with their data, providing an unrivaled experience in Google Cloud regions around the world through a strategic partnership. By delivering MongoDB's popular Atlas developer data platform and deep integrations with Google's data cloud to customers, the two companies are empowering businesses to create applications at scale with unprecedented data richness, all available through the Google Cloud Marketplace . This strategic partnership is bearing fruit. In the chemical industry, for example, users are now combining AI and data mining techniques using MongoDB Atlas with Google Clouds Foundation Models to accelerate the discovery of new molecules and make the process more environmentally friendly. Check out our AI resource page to learn more about building AI-powered apps with MongoDB. The next big step in generative AI Developers can experience the powerful capabilities of MongoDB Atlas Vector Search and Google Cloud foundation models to quickly and easily build applications with AI-powered features to enable highly personalized and engaging end-user experiences. Vertex AI provides the text embedding API to generate embeddings from customer data stored in MongoDB Atlas. Atlas Vector Search is a fully managed service that simplifies the process of effectively indexing this high-dimensional embedding data within MongoDB and being able to perform fast vector similarity searches. This combined with Google’s PaLM can be used to create advanced functionality like semantic search, classification, outlier detection, AI-powered chatbots, and text summarization - enabling developers to quickly build and scale next-generation applications. With Atlas Vector Search, developers can build intelligent applications powered by generative AI over any type of data. MongoDB Atlas Vector search combined with Google Cloud foundation models integrates the operational database, vector search, and LLMs into a single, unified, and fully managed platform. You can find out more about using Vector Search with Google Cloud foundation models from our information hub . Accelerating the discovery of new molecules with generative AI Every day brings new innovations in generative AI, and Vector Search is no exception. Developers are now using Google Cloud foundation models and MongoDB Vector Search to bring inventive applications to growing industries. In one example, MongoDB Partner Exafluence is utilizing AI and data mining techniques with MongoDB Atlas Vector Search and foundation models from Google Cloud to help joint customer Anupam Rasayan discover new molecules. India-based Anupam Rasayan is one of the leading companies engaged in the custom synthesis and manufacturing of specialty chemicals. The new platform, called Exf ChemXpert, includes configurable components for a wide variety of applications in the chemical industry, such as property prediction to help design new molecules, chemical reaction optimization to make developing molecules more environmentally friendly, and novel drug discovery to develop new treatments in the pharmaceutical industry. The home page for EXF ChemXpert, a one-stop platform that's accelerating the discovery of new molecules According to Anand Desai, Managing Director of Anupam Rasayan, this powerful new integration shows great promise. "In the world of chemistry, LLMs are potential game-changers for day-to-day product research and optimization of reaction mechanisms and operations," Desai said. "It can speed up new product and process innovations, reduce usage factors and costs, and push R&D to new heights beyond conventional methods. This transformation driven by new generative AI-powered tools will bring in a shift from conventional perspectives and benefit the chemical industry at large." In the Retrosynthesis Planner, the user asks a question about how to synthesize the chemical, acrylamide. Next steps Generative AI represents a significant opportunity for developers to create new applications and experiences and to add real business value for customers. For more about building applications on MongoDB Atlas with Google Cloud foundation models, including demos where you can see generative AI in action with MongoDB Atlas on Google Cloud, visit this special information hub . To get started running MongoDB on Google Cloud, visit the Google Marketplace .

August 24, 2023