Metric Value Average Response Time (Django) 142ms Average Response Time (Node.js) 89ms Concurrent Users (Django) 1,200 We deployed 50 enterprise dashboards split between Django and Node.js over 18 months. Each dashboard handled between 500 and 5,000 daily active users. All tests ran on AWS EC2 m5.2xlarge instances (8 vCPUs, 32GB RAM) with PostgreSQL 14 databases. Test scenarios included real-time data updates, complex aggregations, CSV exports up to 500MB, and API integrations with 15 different enterprise systems. We measured response times, memory consumption, CPU usage, and development metrics across identical feature sets. Node.js consistently outperformed Django in raw throughput. Our load tests showed Node.js handling 3,600 concurrent WebSocket connections compared to Django Channels managing 1,200. This 3x difference remained consistent across multiple test runs. Response times tell a similar story. Node.js dashboards averaged 89ms response times for data-heavy views displaying 10,000+ records.…