MongoDB launches an AI-powered application modernization platform to reduce technical debt and speed innovation

Applications of AI


mongodb,,Inc. (NASDAQ: MDB) today announced the launch of MongoDB AMP, an AI-powered application modernization platform that helps businesses quickly convert legacy applications into modern, scalable services. MongoDB AMP helps customers modernize through a fusion of AI-powered software platforms, proven distribution frameworks, and experienced AMP distribution engineers who oversee and guide the implementation process. This is a powerful combination of tools, techniques and talent. As the foundation of AMP, MongoDB offers customers the flexibility of their document model and an architecture built for continuous change. By combining AMP tools with MongoDB's proven repeatable framework, customers have more than 10 times higher in tasks like code conversion, and their overall modernization projects have risen two or three times.

Companies across the industry are overwhelmed by legacy applications that are critical to their business, but are expensive to maintain and difficult to adapt to modern use cases like generation AI. Built around strict data foundations and an outdated technology stack, these complex legacy applications can hamper innovation while pose security and compliance risks. Regarding information and software quality, according to the consortium“degraded software quality”, software failures, loss of developer time, and system maintenance costs for US technical debt are estimated to be nearly $4 trillion.

“Companies are increasingly tackling the burden of complex legacy applications, constrained by strict data foundations and outdated constructions that suppress innovation,” he said. Rachel StevensResearch Director at Redmonk. “While database capabilities have traditionally been recognized, MongoDB's strategic expansion to an AI-driven application modernization platform underscores an important understanding. The data layer remains an essential foundation for truly modern and scalable services.

Traditional approaches to application modernization typically include manual, resource-intensive, expensive multi-year consulting engagement. This can halt before delivering results and impact the market. Furthermore, some modernization efforts are simply trying to move legacy applications from one relational database to another (the “lift and shift” migration) instead of switching to a flexible, modern database solution.

“Studies show that too many organizations spend their time and budgets on low-value, high-effective jobs just to maintain lighting. VinodbagarSenior Vice President of Modernization and Change at Mongodb. “Mongodb Amp offers businesses a better approach to modernization, which will help businesses open the door to traditional transformation, innovation and cost savings with incredible speed and quality.”

MongoDB amplifiers are the result of years of innovation and development

The launch of Mongodb Amp is the culmination of over two years of work developing this approach with Mongodb's most sophisticated customers. In particular, AMP has led to successful modernization with customers in highly demanding, highly regulated industries. For example, Bendigo Bank in Australia has reduced the development time required to migrate core banking applications from legacy relational databases to Mongodb Atlas by 90%. Additionally, AI tools have reduced the time spent running application test cases from over 80 hours to just five minutes.

Meanwhile, Lombard Odier successfully migrated major applications from SQL databases to MongoDB. This partnership has led to code transitioning up to 60 times faster, reducing regression testing time from 3 days to 3 hours, and focusing on innovation on developers.

More recently, Mongodb has worked with Intellectai, one of the world's largest enterprise fintech companies, to modernize key elements of its asset management platform. Intellect's projects using MongoDB led to improved performance and reduced development cycle times, and its platform was better positioned to onboard clients, providing richer customer insights, and unlocking generative AI use cases across the enterprise.

“At Intellectai, we redefine how AI companies unlock value,” he said. Deepak DastralaChief Technology Officer of Intellectai. “By modernizing with MongoDB, we have changed the way we deliver value to our customers, free ourselves from bottlenecks, and accelerated our AI vision. Measurable business impact.”



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