Case Study: Clarifresh accelerates development and search performance with MongoDB Atlas

Clarifresh cuts search time to 167 ms with MongoDB Atlas

Clarifresh, a leading agriculture technology company, faced limitations with its legacy Amazon RDS for MySQL database as it scaled, needing a more flexible and multi-cloud solution to support its expansion. To address this challenge, the company transitioned to MongoDB, specifically adopting MongoDB Atlas and MongoDB Search on Atlas.

The solution involved migrating to MongoDB Atlas on both AWS and Azure, and later implementing MongoDB Search on Atlas with the local Docker experience for development. This gave Clarifresh’s developers greater agility and significantly boosted search performance, with some queries dropping from 15 seconds to 167 milliseconds and average search times improving by 46%. By using MongoDB, Clarifresh accelerated development, achieved a scalable multi-cloud architecture, and enhanced overall application performance.

Clarifresh