MongoDB launched a series of new features across its platform that illustrates that the company is staying aggressive on adding generative AI tools while remaining focused on developers.
The company outlined a trio of announcements at its MongoDB.local conference in London. Data platforms including Databricks, MongoDB and Snowflake all have different focuses but are beginning to overlap in areas as they race to add generative AI features. See: MongoDB launches Atlas Vector Search, Atlas Stream Processing to enable AI, LLM workloads | Constellation ShortList™ Hybrid-Cloud and MultiCloud NoSQL Databases
Here's a look and MongoDB's moves.
- MongoDB launched four new features designed to make developers more productive with AI. The company launched MongoDB Relational Migrator, which converts SQL to MongoDB Query API syntax to automate migrations from relational databases, MongoDB Compass to generate queries and aggregations from natural language, MongoDB Atlas Charts for data visualizations from natural language, and a new chatbot in MongoDB Documentation to answer technical questions. All of the aforementioned features are available in preview except for the MongoDB Documentation chatbot, which is available now.
- For MongoDB Atlas Vector Search, the company added tools to query contextual data and performance improvements to bolster generative AI apps. The company also said it integrated MongoDB Atlas Vector Search with Confluent Cloud to give developers data streams from multiple sources. And MongoDB announced that Dataworkz, Drivly, ExTrac, Inovaare Corporation, NWO.ai, One AI, and VISO Trust are customers of MongoDB Atlas Vector Search, which was announced in June.
- MongoDB launched MongoDB Atlas for Edge to give enterprises the ability to build data applications across devices, on-premises data centers and cloud. AWS and Cloneable were cited as partners and customers of the effort. MongoDB said the goal was to enable edge infrastructure so it has low latency to run AI applications and make Internet of things devices actionable even in rough conditions.
Constellation Research analyst Doug Henschen put the MongoDB announcements in perspective. He said:
"MongoDB is staying aggressive and focused on developer needs, which is what has helped to set its platform apart from single-cloud offerings and to win developer adoption and loyalty. All three announcements are important. What impresses me about the Vector Search announcement is that they’re not just pointing to a new generative AI-focused feature and patting themselves on the back. MongoDB is sharing the real-world customer examples of Dataworkz, Drivly, ExTrac, Inovaare Corporation, NWO.ai, One AI, and VISO Trust along with plenty of details on how they’re innovating with generative AI. That makes the announcement come across as much more real and it will help to inspire other customers to start experimenting. On the MongoDB Atlas for the Edge announcement, the company has long had mobile database and sync capabilities, but the announcement makes it clear that they’re driving more consistency and continuity to simplify edge-to-cloud use cases with two-way interactivity. Finally, the generative AI capabilities – NL query and aggregation, NL data visualization, chat-based product support, and SQL translation to the MongoDB Query API syntax – aren’t terribly surprising, and all but the chat feature are still in preview, but it’s a good set of capabilities that shows that MongoDB isn’t being conservative about infusing its products and services with generative AI capabilities."
