Case Study: Symphony achieves scalable, secure financial data search with MongoDB Atlas

Symphony cuts infrastructure costs by 20% with MongoDB

Symphony, a collaboration platform for the financial services industry, needed to modernize its database architecture to improve scalability, resilience, and cost-efficiency for its mission-critical audit trail functionality. The challenge involved managing billions of entries with high performance requirements, which led to overprovisioning and rising costs with their previous Elasticsearch solution. Symphony turned to vendor MongoDB to address these issues.

MongoDB implemented its fully managed MongoDB Atlas platform with Atlas Search, providing a secure and scalable environment. The solution resulted in query times dropping from 30 seconds to just one second and reduced infrastructure costs by roughly 20%. The migration also improved operational efficiency, scalability, and platform stability for Symphony's financial services customers.

Symphony