MongoDB has launched new capabilities for its Atlas platform at its annual developer conference in New York, aimed at simplifying the process of building modern applications for enterprises. The company has introduced new vector search and stream processing features for Atlas, the fully-managed data platform that provides an integrated suite of data services centred around a cloud database to help teams build and deploy applications at scale. AI-powered vector search converts text, images, audio, and video data into numerical vectors and enables semantic search for relevant information, which can power use cases such as text-to-image search within Atlas, and enable the integration of generative AI into applications. Meanwhile, stream processing gives developers a single interface to extract insights from high-velocity and high-volume streaming data, allowing teams to build applications that can analyse information in real-time to adjust behaviour and inform business actions.
Partnership with Google Cloud
The company has also announced a partnership with Google Cloud aimed at helping developers accelerate the use of generative AI and build new classes of applications. The AI initiative will integrate Google Cloud’s Vertex AI large language models (LLMs) and new quick-start architecture reviews to help developers using Atlas accelerate their workflows and build new classes of generative AI applications such as semantic search, classification, outlier detection, AI-powered chatbots, and text summarisation. The initiative will bring more capabilities, support, and resources to developers building the next generation of generative AI applications, according to Kevin Ichhpurani, corporate vice president for global ecosystem and channels at Google Cloud.
Atlas for Industries
The company has also launched Atlas for Industries, a program in which MongoDB will offer its data platform in an industry-specific package. The first package to be launched is Atlas for financial services, giving enterprises in the financial industry access to expert-led architectural design reviews, technology partnerships, and industry-specific knowledge accelerators to quickly get started with the data platform and build applications to target challenges specific to the industry. MongoDB will follow this up with offerings for manufacturing and automotive, insurance, healthcare, retail, and other industries throughout the year.
Relational Migrator
Finally, MongoDB has made its Relational Migrator available, making it significantly faster and easier to migrate from legacy relational database technologies to MongoDB Atlas. The tool analyses legacy databases, automatically generates new data schema and code, and then executes a seamless migration to MongoDB Atlas with no downtime. Currently, the tool supports transfer from Oracle, Microsoft SQL Server, MySQL, and PostgreSQL.
MongoDB’s new capabilities for its Atlas platform are aimed at supporting customers running the largest, most demanding, mission-critical workloads that require continually increasing scalability and flexibility. The company’s announcement of an AI initiative with Google Cloud and the launch of Atlas for Industries are aimed at accelerating innovation and building new classes of generative AI applications targeting industry-specific challenges. The company’s Relational Migrator aims to make it easier for enterprises to migrate from legacy relational database technologies to MongoDB Atlas.
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