Case Study: Loopd achieves real-time, scalable event location tracking and lower infrastructure costs with MongoDB

How Loopd uses MongoDB to Power its Advanced Location-Tracking Platform for Conferences

Loopd provides wearable badges and an enterprise IoT platform that captures attendee movement and interactions at conferences to help marketers and hosts understand foot traffic and engagement. The company needed to ingest and analyze millions of time‑series location datapoints in real time, but their previous PostgreSQL + Redis buffer approach introduced architectural complexity, scalability limits, and high resource usage.

By switching to MongoDB (one replica set per event, with read queries on secondaries and use of the aggregation framework), Loopd boosted write throughput, removed the need for a Redis buffer, and simplified operations. The migration halved VM CPU and memory consumption, enabled near‑real‑time analytics and faster schema evolution, and delivered significant cost and management benefits for large events.

Loopd

Brian Friedman

Chief Executive Officer