Apache™ Storm is a distributed real-time computation system for processing fast, large streams of data. Storm adds reliable real-time data processing capabilities to Apache Hadoop® 2.x.

Now with Storm and MapReduce running together in Hadoop on YARN, a Hadoop cluster can efficiently process a full range of workloads from real-time to interactive to batch. Storm is simple and developers can write Storm topologies using any programming language.

The most important characteristics of Storm include

• Fast – benchmarked as processing one million 100 byte messages per second per node
• Scalable – with parallel calculations that run across a cluster of machines
• Fault-tolerant – when workers die, Storm will automatically restart them. If a node dies, the worker will be restarted on another node.
• Reliable – Storm guarantees that each unit of data (tuple) will be processed at least once or exactly once. Messages are only replayed when there are failures.
• Easy to operate – standard configurations are suitable for production on day one. Once deployed, Storm is easy to operate.

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