LAUNCHMongoDB 8.3 is built for the sub-100ms retrieval & zero downtime AI demands. Read blog >

AI DATAStop fighting your data layer. Get the memory & retrieval agents need to scale. Read blog >

Edenred

Edenred scales global payments for the lunch rush

Digital payments leader uses MongoDB Atlas to power a unified payment super app, handling 15M+ transactions with real-time data and global agility.

A young woman holding her phone and making a payment by scanning a QR code on a swipe machine.

The Challenge

Edenred needed to unify fragmented legacy systems into a global super app capable of handling 15M+ transactions during the intense lunchtime rush.

Our Solution

Using MongoDB Atlas, Edenred built a dual-repository microservices architecture to manage diverse global merchant data and real-time payments.

Outcome

Edenred scales across four countries with MongoDB Atlas, ensuring 100% data consistency and instant insights for over one million users.

Industry

Computer Software and Technology

Financial Services

Product

MongoDB Atlas

Use Case

Modernization

Payments

THE CHALLENGE

Unifying a global payment ecosystem over lunch

Edenred is a global leader in digital payment solutions, enabling employers to fund dedicated accounts that employees can use for benefits such as meals, mobility and other expenses via a card or mobile app. Operating in 45 countries and processing around €30 billion annually in restaurant spending alone, the company connects more than 60 million users with a network of over 2 million merchants. At the heart of this ecosystem are three interconnected players: the companies that fund the benefits, the employees who spend them, and the merchants (shopkeepers) who accept them—all powered by Edenred’s technology platform.

With the market shift from plastic cards to fully digital experiences, Edenred faced a significant architectural challenge. Historically, each country operated its own legacy technology stack, creating fragmented systems that limited scalability and slowed global innovation. To modernize, Edenred launched ‘Edenred+’—a unified international platform designed to consolidate meal vouchers, gift cards, and mobility benefits into a single, user-centric super app where features could be deployed globally in one move.

The technical demands were significant. The platform needed to bridge the physical world—merchant discovery and geolocation—with real-time digital payment processing. Its ultimate stress test is the ‘lunch rush,’ a concentrated spike between 12:00pm and 2:00pm when millions of users transact simultaneously.

“We have strict real-time constraints,” explained Simon Lazzari, Head of Data at Edenred. “With massive peak loads, we couldn’t just manage—we needed an architecture that guarantees data consistency and availability.”

Delivering on this vision required a modern foundation capable of modelling diverse global data while handling extreme transaction volumes with reliability and performance. Starting from scratch enabled Edenred to adopt contemporary technologies and empower autonomous teams, ultimately selecting MongoDB as the scalable core of its new data platform.

“We needed flexibility in the data model. The information we have on a store in France differs from one in Mexico. MongoDB allows us to maintain a single database that adapts to the data available in each market.”

Simon Lazzari
Head of Data, Edenred

OUR SOLUTION

Modernizing with a dual-repository architecture

With MongoDB Atlas selected as the data foundation of Edenred+, and consulting support from technology partner, Cellenza, Edenred’s engineering team designed a microservices architecture structured around two core repositories: a transaction repository and a point-of-sale (POS) repository.

The POS repository manages the extreme variability of merchant data across countries and benefit types. Using MongoDB’s flexible document model and geospatial capabilities, the team powers the app’s store finder, enabling users to instantly locate nearby restaurants and shops. “We needed flexibility in the data model,” explained Lazzari. “The information we have on a store in France differs from the one in Mexico. MongoDB allows us to maintain a single database that adapts to the data available in each market.”

The transaction repository, by contrast, is built for speed, accuracy, and reliability. It ingests and processes payment authorizations in real time, ensuring that—even when transactions are ingested out of order—a user’s final balance remains accurate. During peak traffic, especially the lunch rush, precision and responsiveness are non-negotiable. “If a user’s balance is wrong during lunch, that’s an immediate failure of service,” said Lazzari.

To sustain performance at scale, the team optimized their use of MongoDB Atlas. Taking a deliberate, performance-first approach, they used smart indexing and efficient data processing to keep searches fast, while automating data-retention rules to actively manage storage costs and long-term efficiency. MongoDB Atlas’s multi-cloud flexibility further strengthened the architecture. When input/output constraints emerged with one provider, Edenred seamlessly shifted specific clusters to AWS and Google Cloud directly through the MongoDB Atlas interface—without disruption or major rework.

“We monitor IOPS, CPU, and memory closely,” said Maxime Eglem, Consultant Manager, Cellenza. “With MongoDB Atlas, we could move to AWS and Google Cloud easily to get better performance at the same cost. That flexibility is a major advantage.”

“We have built solid foundations that are proven. With MongoDB we now have real-time data availability that allows us to enrich transactions instantly and deploy robust features globally, while staying agile enough to adapt to local markets.”

Maxime Eglem
Consultant Manager, Cellenza

OUTCOME

Fifteen million messages and instant insight

By launching Edenred+ on MongoDB Atlas, Edenred has built a high-performance, globally scalable platform that now powers operations in France, Poland, Bulgaria, and Mexico. Already serving more than one million users—with a clear path to six million by 2026—the architecture is designed not just for today’s demand, but for sustained international growth.

The performance gains have been game-changing. Engineered to handle up to 15 million MongoDB transactions during the intense two-hour lunch window, the platform ensures seamless payment experiences at peak load. By decoupling the transaction engine from the store directory, Edenred guarantees that even the heaviest search activity never compromises payment speed, delivering instant confirmations and precise balance updates when they matter most.

Beyond performance, the unified architecture unlocks powerful new data insights. By integrating transaction and merchant data into a single platform, Edenred can identify usage patterns, highlight popular merchants, and continuously enhance the value of its services. Real-time transaction enrichment replaces cryptic terminal codes with recognizable store names and locations, while enabling personalized restaurant recommendations that elevate the employee experience.

MongoDB Atlas has fundamentally accelerated innovation. Edenred built a global-ready platform that empowers autonomous teams to deploy features rapidly while maintaining cross-market consistency. Looking ahead, the company plans to use MongoDB Vector Search to introduce AI-driven recommendations, further personalizing customer service at scale.

“We have built solid foundations that are proven,” said Eglem. “With MongoDB, we now have real-time data availability that allows us to enrich transactions instantly and deploy robust features globally, while staying agile enough to adapt to local markets.”

Run MongoDB without the operational burden

Atlas is the simplest way to deploy MongoDB. Get global resilience, push-button scalability, and advanced security.

Learn More

Explore more success stories

View all stories

With Video

Novo Nordisk

This Danish pharmaceutical giant became the first in the industry to generate a complete clinical study report (CSR) in minutes with generative AI and MongoDB Atlas.

With Video

Toyota Connected

See how Toyota Connected migrated to Atlas and AWS to enhance reliability for its safety platform.

With Video

L'oreal Groupe

Discover how L’Oréal improves app performance and velocity with MongoDB Atlas.

Take the next step

Get access to all the tools and resources you need to start building something great when you register today.

Get StartedTalk to an expert