Simplifying social infrastructure with SurrealDB

Fountain consolidated its social graph, search, and payments into SurrealDB. The small team replaced multiple services with one unified database and now focuses on delivering a great listening experience.

IndustryMedia and entertainment

OutcomeTech stack simplification from three databases to one

01 |KEY CHALLENGES

What they needed to solve

The technical and operational hurdles the team faced before adopting SurrealDB.

Fragmented infrastructure

Neo4j, Meilisearch, and Firebase increased maintenance overhead.

Time-consuming operations

Managing multiple databases distracted engineers from new features.

Scattered data

Social activity, search, and payments lived in different systems.

Need for flexible queries

Complex social feeds and payment analytics needed an intuitive query language.

02 |SOLUTIONS

How SurrealDB helped

The architecture decisions and SurrealDB capabilities that addressed each challenge.

Unified database

Consolidated social graph, search, and payments into SurrealDB.

Simple query language

SurrealQL powers follow feeds and payment analytics with reusable logic.

Easy scalability

Handles hundreds of thousands of profiles and growing activity.

Room to grow

Established a foundation for transcript search and real-time payment insights.

03 |RESULTS

The impact

Measurable outcomes delivered after moving to SurrealDB.

100k+

USERS

Growing community

SurrealDB reliably manages profiles, comments, and payments at scale.

2 1

Simpler stack

Replaced Neo4j and Meilisearch with a single backend.

More product time

Developers spend less time on ops and more on user features.

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Built for tomorrow

Prepared for richer analytics and real-time experiences.

MORE CASE STUDIES

Saks Fifth Avenue uses SurrealDB's vector search and graph capabilities to deliver real-time, AI-powered personalisation across 5 million luxury customers and 45 million monthly product-recommendation queries.

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