For I/O-heavy, real-time applications, Node.js is often superior due to its asynchronous event loop. For data science or AI-related backend services where Python dominates, its integration with ML libraries offers advantages despite some scalability limitations. Java remains the best choice for large-scale, mission-critical applications demanding high throughput and resiliency.

For I/O-heavy, real-time applications, Node.js is often superior due to its asynchronous event loop. For data science or AI-related backend services where Python dominates, its integration with ML libraries offers advantages despite some scalability limitations. Java remains the best choice for large-scale, mission-critical applications demanding high throughput and resiliency.

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