Case Study: Helvetia accelerates cloud-native modernization by 90% with MongoDB Atlas

Helvetia accelerates cloud-native modernization by 90% with MongoDB

The customer, Helvetia, a major Swiss insurance company, faced challenges in its cloud-native modernization journey. Its event-driven microservices architecture, built on AWS, was initially powered by Amazon DocumentDB and Elasticsearch. This combination created complexity, with separate systems for the database and search leading to data synchronization issues, slow developer velocity due to multiple query languages, and operational overhead. Helvetia needed a streamlined data foundation to power new customer-facing services with a real-time view and reliable full-text search.

The vendor, MongoDB, provided its solution with MongoDB Atlas and MongoDB Atlas Search. By migrating from DocumentDB and replacing Elasticsearch, Helvetia consolidated its database and search into a single, integrated platform. This simplified the architecture, automated data syncing, and allowed developers to use a single query API. The results were dramatic: new application features that previously took 3-5 days to release now deploy in just 3 hours, accelerating release cycles by over 90%.

Helvetia