MongoDB launched MongoDB AMP (Application Modernization Platform) as the vendor becomes the latest to take on enterprise code transformation needed to migrate workloads.
Shilpa Kolhar, SVP of Application Modernization, said MongoDB AMP includes tools and techniques that can move workloads to its Atlas platform. Kolhar argued that MongoDB AMP moves beyond enterprise code transformation. MongoDB announced the news ahead of its MongoDB.local NYC conference.
"MongoDB AMP is not about throwing the legacy code base into another system that doesn't work. We have tried it. Real applications have large, complex code bases that AI can't directly handle correctly and efficiently," she said. "This is especially true with applications that are centered around stored procedures, where the business logic is spread across the application. Our tooling enables us to break this problem into smaller chunks, smaller pieces, and then work through the code base using an interactive and automated process."
MongoDB AMP includes a set of agentic workflows that build, test, and repair throughout the conversion process. MongoDB said that combining AMP with its repeatable frameworks have sped up code transformation speed 10x with overall modernization projects sped up 2x to 3x.
There are multiple code transformation efforts that aim to use AI to create AI-native applications. AWS Transform is one of the better known. MongoDB is pitching AI as a code transformation tool with a data layer twist, but it also said enterprises need a more holistic approach that includes analytics, deployment and data migration to name a few.
The win for enterprise vendors is that they can gain workloads while saving customers money on pricey consulting engagements.
MongoDB said MongoDB AMP is built on two years of development with migrating customers. The company cited Australia’s Bendigo Bank, Lombard Odier and IntellectAI as customers that migrated relational databases to MongoDB as well as adjacent code.
Kolhar said:
"With AMP, we are getting into both the database modernization and also the entire application tier of modernization. So, it's not just the database migration alone. We have built tools to support many different combinations of the legacy stack.
We have multiple agents that help with analysis of the code, but we do have some deterministic tools as well. We have AI agents to actually split the code base into chunks that can be recomposed, and then what you're converting in."
