Case Study: Fountain simplifies social infrastructure with SurrealDB

Simplifying social infrastructure with SurrealDB

Fountain, a company in the media and entertainment industry, faced fragmented infrastructure with its social, search, and payment data split across Neo4j, Meilisearch, and Firebase. This multi-database setup created significant maintenance overhead, distracted engineers from developing new features, and made it difficult to run the flexible queries needed for complex social feeds and payment analytics. Seeking to simplify its tech stack, Fountain turned to the SurrealDB database.

By implementing SurrealDB, Fountain consolidated its social graph, search, and payments into a single unified database. Using SurrealDB's SurrealQL query language, the company now powers its user feeds and analytics with reusable logic. This solution has allowed Fountain to reliably manage over 100,000 user profiles and their activity while simplifying its architecture from three databases down to one. The developers now spend less time on operations and more on product features, and the company has a scalable foundation ready for future growth.

Fountain