A real-time financial analytics platform processing 2M+ transactions daily with sub-second query performance.
NovaPay needed to replace their legacy batch-processing system with a real-time analytics platform. Their existing solution took 45 minutes to generate reports, causing critical delays in fraud detection and regulatory compliance. The new system had to handle peak loads during market hours without degradation.
We engineered a streaming architecture using Apache Kafka for event ingestion and ClickHouse for analytical queries. The frontend was built with Next.js and Recharts, featuring customizable dashboards with drag-and-drop widgets. A CQRS pattern separated read and write paths, ensuring query performance stayed under 200ms even at peak load. WebSocket connections push live updates to all connected clients instantly.
Report generation dropped from 45 minutes to real-time. Fraud detection alerts now trigger within 3 seconds of suspicious activity. The platform handles 10x the original transaction volume with zero degradation. NovaPay achieved full regulatory compliance and reduced operational costs by 40%.
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