Case Study: FitBank achieves faster, more scalable banking operations with MongoDB Atlas

FitBank reduces database contention by 20% with MongoDB

FitBank, a Brazilian financial services provider, faced challenges managing the complexity and high volume of data from millions of daily banking transactions stored in multiple SQL databases. This created performance issues, operational burdens, and difficulties in retrieving information, threatening the company's efficiency and growth. To address this, FitBank sought a NoSQL solution and turned to MongoDB and its product MongoDB Atlas to restructure its data flow.

MongoDB implemented a solution where operational data remained in SQL databases while metadata was redirected to MongoDB Atlas. This enhanced performance with a flexible document-based model and scalable architecture. The results for FitBank included a 20% reduction in database load and costs, faster queries, lower maintenance, and improved scalability. The adoption of MongoDB Atlas was widely accepted by development teams and is now considered a crucial technology for FitBank's future development.

FitBank