Case Study: Thermo Fisher reduces experiment times from days to minutes with MongoDB Atlas (MongoDB)

Thermo Fisher moves into the cloud with MongoDB Atlas & AWS

Thermo Fisher, a global biotechnology leader with over 51,000 employees, built the Thermo Fisher Cloud to modernize laboratory workflows and support 10,000 customers and 1.3 million experiments. The company needed to move applications to the public cloud and handle massive, fast-changing experiment data while giving scientists live instrument access and reducing development and schema complexity.

Thermo Fisher adopted MongoDB Atlas alongside AWS services (Lambda, Docker, Spark) to migrate and modernize multiple apps, replacing systems like MySQL, SQLite, DynamoDB, Oracle and PostgreSQL. The move delivered dramatically better performance with far less code (e.g., 1,615 record inserts: MongoDB 68 ms vs. MySQL 410 ms), enabled parallel processing to cut experiment times from days to minutes, and improved developer productivity and customer experience with seamless migrations and no downtime.

Thermo Fisher