Case Study: FoodLogiQ achieves faster, lower-cost global food supply chain management with MongoDB Atlas and AWS

FoodLogiQ cuts database cloning time by 94% and halves hosting bills with MongoDB

FoodLogiQ, a company that connects the world’s food supply chain, faced challenges with a slow and inefficient database that struggled to track and analyze millions of daily data points. Their existing system had underused clusters and performance problems, prompting a migration to MongoDB's solution, initially with MongoDB Enterprise Advanced and then to MongoDB Atlas.

With MongoDB Atlas on AWS, FoodLogiQ achieved significant performance and cost gains. The solution, supported by MongoDB's expertise, reduced database cloning time by 94% and cut hosting bills in half. MongoDB also helped optimize queries and indexes, improving efficiency and enabling the company to offer a scalable, multi-cloud platform to its enterprise customers.

FoodLogiQ