Case Study: Sentra scales to 1 billion assets with MongoDB Atlas

Sentra scales to 1 billion assets with MongoDB Atlas and cuts query times from 3 minutes to 1 second

Sentra, an award-winning data security platform, needed to identify and secure sensitive data at a massive scale for its global enterprise customers. Their challenge was to replace their existing Postgres database with a more flexible and scalable solution that could deliver high speeds for complex queries as their data volume grew rapidly. They partnered with MongoDB and implemented MongoDB Atlas to build this new foundation.

The solution involved a strategic migration to MongoDB Atlas, which enabled Sentra to scale efficiently and leverage fast, flexible searches powered by aggregation pipelines and Atlas Search. This implementation by MongoDB yielded transformative results: Sentra scaled from managing 20 million to over 1 billion assets while dramatically boosting performance. Query times were cut from three minutes to just one second, a 180x improvement, providing customers with real-time insights and alerts.

Sentra