Vaudoise Assurances modernized its data platform and reduced costs by 40%

As the company continued to expand its digital services, ensuring that its data infrastructure could scale efficiently while maintaining high service levels became a strategic priority.

The challenge: limitations in the existing platform

The data platform was originally built on Azure Cosmos DB using the MongoDB API, leveraging integration with the company’s Azure environment.

However, as workloads and data volumes grew, several limitations began to affect performance and operational efficiency:

• Use of an outdated MongoDB API version (4.2), limiting access to newer capabilities
• Slower execution of complex queries despite extensive optimization
• Limited support for advanced search features such as full-text and wildcard queries
• A restrictive 2 MB document size limit
• Backup and restore mechanisms not fully aligned with business recovery needs
• Limited transparency into resource usage due to the Request Unit pricing model
• Increasing infrastructure costs as the platform scaled

To address these issues, Vaudoise evaluated whether a native MongoDB platform could deliver improved performance, functionality, and cost efficiency.

The solution: migrating to MongoDB Atlas

Working with ELCA, Vaudoise conducted a comprehensive proof of concept to evaluate MongoDB Atlas, the fully managed cloud platform for MongoDB.

The evaluation confirmed clear advantages:

• Faster query execution and improved system responsiveness
• Advanced search capabilities through Atlas Search
• More robust backup and recovery mechanisms
• Greater operational visibility through detailed monitoring metrics

Because the existing environment already relied on the MongoDB API, the migration required minimal changes to application code. The primary technical adaptation involved redesigning change stream components to account for platform differences. The migration was carefully executed with extensive testing and close collaboration with the MongoDB support team. Deployment was rolled out progressively across environments, ensuring a controlled transition with minimal disruption.

Today, the platform has been running successfully in production for over a year.

The success of this transformation was driven by the combination of the right technology and the right expertise. ELCA, a leading Swiss technology consulting company, supported Vaudoise Assurances with its deep expertise in enterprise data platforms, cloud architectures, and large-scale system integration, enabling a smooth and low-risk migration.

By moving from Azure Cosmos DB to MongoDB Atlas, Vaudoise modernized its data platform, achieving measurable gains in performance, cost efficiency, and operational visibility. The new architecture provides a scalable and resilient foundation to support future digital growth—an approach that is equally relevant across industries such as banking, public sector, retail, and digital services.