Apache Storm
Apache Storm is a distributed, real-time computation system for processing large volumes of high-velocity data streams. It provides fault-tolerant, scalable processing of unbounded data with low-latency guarantees, making it ideal for real-time analytics, ETL, and continuous computation tasks. Storm processes data as it arrives, unlike batch processing frameworks that operate on stored data.
Developers should learn Apache Storm when building applications that require real-time stream processing, such as real-time analytics, fraud detection, IoT data processing, or social media sentiment analysis. It's particularly useful in scenarios where low-latency processing of continuous data streams is critical, and it integrates well with message queues like Kafka or RabbitMQ for data ingestion.