MongoDB has introduced AMP, an AI-powered Application Modernization Platform designed to expedite the transformation of legacy applications into modern, scalable services. This initiative aims to tackle one of enterprise IT’s long-standing challenges: effectively upgrading outdated systems without incurring high costs or delays.
Many enterprises depend on legacy applications that are critical yet cumbersome to update. These systems are often built on rigid data models with outdated technology stacks, leading to high maintenance costs, integration difficulties with contemporary architectures, and compliance or security risks. Research indicates that technical debt resulting from outdated software quality and systems costs the U.S. economy nearly $4 trillion annually, stemming from failures, lost developer productivity, and maintenance challenges.
AMP seeks to revolutionize the traditional approach to modernization, which usually involves lengthy manual consulting engagements that can stall or yield only marginal improvements. Rather than simply migrating outdated architectures to a different database, AMP leverages MongoDB’s document model in conjunction with AI automation to facilitate comprehensive full-stack transformations. Tasks such as code transformation can now be performed up to ten times faster, with overall modernization projects accelerated two to threefold.
Rachel Stephens, Research Director at RedMonk, highlighted that the launch of AMP marks MongoDB’s acknowledgment that the data layer serves as a crucial foundation for scalable, modern services. “AMP empowers organizations to go beyond incremental migrations, focusing instead on true transformation from the data up,” she stated.
The introduction of AMP also indicates MongoDB’s evolution from a database provider to a more comprehensive assistant in application modernization. Vinod Bagal, Senior Vice President of Modernization and Transformation at MongoDB, described AMP as a more cost-effective alternative to conventional modernization strategies. He noted that too many organizations waste resources on low-value tasks simply to maintain operations. AMP enables companies to shift from traditional operations to transformative initiatives quickly and effectively, resulting in both innovation and cost reductions.
The development of AMP has spanned over two years and has been piloted with some of MongoDB’s most demanding customers. In particular, Bendigo Bank in Australia successfully used AMP to migrate a core banking application, reducing development time by 90% and cutting testing time dramatically from 80 hours to just five minutes. Similarly, Swiss bank Lombard Odier experienced code migration speeds up to 60 times faster and reduced regression testing from three days to three hours.
IntellectAI, a major enterprise fintech company, partnered with MongoDB to modernize its Wealth Management platform, leading to improved performance and shortened development cycles, ultimately enhancing the platform’s compatibility with generative AI. Deepak Dastrala, CTO of IntellectAI, remarked on the importance of this transformation: "Modernizing with MongoDB has freed us from bottlenecks and accelerated the realization of our AI vision."
As enterprises increasingly pursue generative AI, cloud migration, and digital transformation, application modernization has become a key strategic hurdle. MongoDB AMP directly addresses this challenge by leveraging AI as a catalyst for the modernization process. With a blend of automation, a proven methodology, and industry expertise, MongoDB aims to redefine modernization as a swift and repeatable endeavor that promotes long-term competitiveness.
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