Case Study: Shipium achieves scalable, low-latency logistics optimization with MongoDB Atlas

Shipium reduces storage from 325 GB to 20 GB with MongoDB

Shipium, a logistics software provider, faced the challenge of scaling its operations to meet global ecommerce demands while ensuring high availability and low-latency performance. Originally using the self-managed MongoDB Community Edition, the company sought a more managed solution to simplify database administration and support its growth, leading them to migrate to MongoDB Atlas.

By implementing MongoDB Atlas, Shipium achieved greater horizontal scalability, allowing it to expand into new regions. The solution provided high performance with low latency, enabling the company to use smaller, more efficient instances and significantly reduce its local storage usage from 325 GB to 20 GB. This migration also freed developers from infrastructure management and provided the centralized data necessary to power AI and machine learning algorithms for optimal carrier selection.

Shipium