Handling Real-time Sports Data at Scale for CricStack

The Challenge of Live Sports

Cricket is a game of statistics, and fans expect instant updates. When we set out to build CricStack, the primary challenge wasn't just displaying data—it was processing thousands of events per second during a live match without lagging the user's browser.

If a dashboard takes even 2 seconds to update after a wicket falls, the user experience is broken. We needed a robust, low-latency pipeline.

Our Data Pipeline Architecture

Instead of traditional polling (where the client asks the server for updates every few seconds), we built a push-based architecture.

1. Ingestion Layer (Node.js)

We built a fast Node.js microservice that hooks into a sports data provider's Webhook. This service acts as our ingestion layer, instantly validating and formatting raw JSON payloads before pushing them to a message queue.

2. Fast Database Writes (PostgreSQL)

For historical statistics, we rely on PostgreSQL. We designed an optimized schema utilizing JSONB columns for flexible match data, coupled with aggressive indexing on player and team IDs to ensure our analytics queries run in under 50ms.

3. Real-time Delivery (WebSockets)

We bypassed HTTP entirely for live match updates. Using Socket.io, our server holds a persistent connection with the client. When a ball is bowled, the ingestion layer pushes the event, and the WebSocket server broadcasts it to all connected clients in under 100ms.

Visualizing the Data

Processing data is only half the battle. To visualize this data smoothly, we used Recharts inside our React frontend. By leveraging React's useMemo hooks, we ensured that the charts only re-rendered when new data actually arrived, maintaining a buttery-smooth 60fps experience even during data-heavy analytics views.

The Result

CricStack is now capable of handling massive traffic spikes during high-profile matches while delivering statistical insights faster than a standard live TV broadcast.

Check out the platform live at cricstack.in.