MongoDB has announced Application Modernization Platform (AMP), an AI-powered application modernization platform aimed at helping companies transform their legacy systems into modern, scalable, and secure services.
With AMP, MongoDB goes beyond its traditional role as a document database and ventures into comprehensive application modernization—a challenge impacting nearly every sector: from banking and finance to healthcare, retail, or public sector.
The Heavy Burden of Legacy Applications
The critical applications used by many organizations today were built on rigid and outdated tech stacks. This results in three major issues:
- Exorbitant maintenance costs.
- Security and compliance risks due to lack of updates.
- Barrier to innovation, as they don’t adapt easily to new use cases like generative AI.
A report from the Consortium for Information & Software Quality estimates that technical debt in the U.S. amounts to around $4 trillion, reflecting the economic impact of “bad software”: failures, system crashes, lost development hours, and constant patches.
What MongoDB AMP Brings
MongoDB AMP combines three pillars:
- An AI-integrated software platform to accelerate tasks like code transformation, testing, and refactoring.
- A proven, repeatable delivery framework with methodologies shown to increase process speed by 10x.
- Specialized modernization engineers overseeing implementation and ensuring quality and compliance.
Through this approach, MongoDB ensures that modernization projects are not mere “lift and shift” migrations (moving from one rigid system to another), but deep transformations from the data layer upward.
Success Stories: Banks, Asset Managers, and AI
MongoDB has been testing AMP for two years with demanding clients:
- Bendigo Bank (Australia): reduced development time by 90% in migrating a core banking application to MongoDB Atlas. Additionally, testing time dropped from 80 hours of manual tests to just 5 minutes thanks to AI-assisted testing.
- Lombard Odier (Switzerland): migrated key applications up to 60 times faster, reducing regression testing from 3 days to 3 hours.
- IntellectAI (India/Global): modernized its wealth management platform, accelerating development cycles and enabling use cases like generative AI. One of its clients—a sovereign fund with trillions under management—uses the platform for real-time investment decisions.
These examples demonstrate how AMP not only cuts costs but also opens the door to new business models based on advanced analytics and artificial intelligence.
A Different Approach from Traditional Consultancies
Application modernization has historically been handled by IT consulting firms, offering multi-year, costly projects that risk becoming obsolete before completion.
MongoDB proposes the opposite: speed, automation, and repeatability, leveraging the flexibility of its document model. Senior vice president Vinod Bagal states:
“AMP helps companies move from traditional to transformational quickly and with quality, freeing up resources to innovate instead of just maintaining the system.”
MongoDB and AI: A Strategic Partnership
The launch of AMP aligns with MongoDB’s vision to be the default database for AI-driven modern applications.
- Integrated AI in AMP enables automated testing, failure detection, and legacy code transformation into optimized code.
- AMP relies on MongoDB Atlas, the cloud data platform already offering semantic search, vector queries, and retrieval-augmented generation (RAG), designed to power AI models.
This positions MongoDB strategically against competitors like Oracle, Microsoft Azure SQL, or Amazon Aurora, which are also targeting modernization projects but with a stronger focus on relational databases.
A Multi-Billion Dollar Business Opportunity
Technical debt is a universal issue. For MongoDB, AMP creates a potential market worth billions of dollars across sectors where critical systems (banking, insurance, government, telecommunications) cannot lag behind in the AI and cloud transition.
Moreover, by providing specialized engineering alongside the platform, MongoDB differentiates itself from mere infrastructure providers, adopting a closer “platform as a service” model.
FAQ
What is MongoDB AMP?
It is an application modernization platform that combines AI, proven methodologies, and expert engineers to transform legacy systems into modern, secure, and scalable services.
How is it different from a “lift and shift”?
AMP goes beyond simply moving old applications between servers: it seeks to rebuild them from the data layer up, taking advantage of MongoDB’s flexible document model.
How much time can be saved with AMP?
MongoDB claims its clients have experienced processes that are 10 times faster, with modernization projects completed in half the time compared to traditional methods.
Which sectors stand to benefit most?
Banking, insurance, fintech, healthcare, retail, and public sector—particularly those with critical applications that must modernize without compromising security or regulatory compliance.