Case Study: MindOrigin achieves 15x faster stock data queries with MongoDB Atlas Time Series Collections

MindOrigin speeds stock data analysis 15x with MongoDB

MindOrigin, a provider of real-time stock data analysis in India's financial sector, faced challenges managing high-frequency market data with their legacy PostgreSQL and TimescaleDB system. They needed a solution that could handle 54 million transactions per hour with low latency, instantly recalculate data for corporate actions, and ensure compliance with Indian data residency laws.

By implementing MongoDB Atlas with MongoDB Time Series Collections, MindOrigin achieved a 15x improvement in query speed and reduced storage costs by 70%. The solution provided near-instant data access for clients, streamlined the recalculation process for corporate actions to zero delay, and ensured full compliance through deployment in Indian data regions.

MindOrigin