Case Study: AirVisual scales real-time air quality monitoring to 9,000 cities with mLab

mLab Provides the Database Backbone for Air Pollution Monitoring in 9,000 Cities

AirVisual provides air quality data and forecasts via a distributed sensor network active in over 9,000 cities, serving millions of individual and enterprise users. Faced with tens of thousands of sensors and a rapidly growing user base, AirVisual needed a dependable, highly available hosted MongoDB solution with strong technical support and Asia-based server instances — requirements that led them to choose mLab’s managed DBaaS.

mLab supplies highly available MongoDB deployments, Telemetry monitoring, and a Slow Query Analyzer, plus Japan-based server instances that reduce latency for Asian customers. Using mLab’s platform and expert support, AirVisual optimized indexes and query performance, delivered real-time API data to millions across 9,000+ cities, avoided the cost of a dedicated database engineer, and scaled reliably as it expanded into new markets.

AirVisual

Yann Boquillod

Founder