Case Study: Orbweaver improves performance and reduces latency with MongoDB Search on Atlas

Orbweaver cuts latency by over 70% with MongoDB

Orbweaver, a provider of digital transformation solutions for the electronics supply chain, faced scalability challenges with its search functionality. The company's platform, which helps automate quoting and sales for electronic components, originally used Amazon DocumentDB and Elasticsearch. This tech stack became difficult to maintain, expensive to scale for performance, and caused errors during data imports, creating a significant operational overhead for the team.

By migrating to MongoDB Atlas and utilizing MongoDB Search, Orbweaver simplified its architecture. The solution eliminated the need for a separate ETL process and search engine. This migration resulted in a more than 70% decrease in API latency, a reduction in cloud spend, and a much more stable platform. MongoDB enabled Orbweaver to improve performance and efficiency while providing a faster, more reliable experience for its customers.

Orbweaver