Apache Storm

Apache Storm: Open Source Distributed Realtime Computation System

Process unbounded streams of data in real-time for analytics, machine learning, and more with Apache Storm, a fault-tolerant open source system that guarantees data processing.

What is Apache Storm?

Apache Storm is an open source distributed realtime computation system for processing large volumes of high-velocity data. It provides capabilities for realtime data processing, data integration, extracting valuable insights from data streams, online machine learning, and more.

Storm is designed to be fast, scalable, and robust. It can process over a million tuples per second per node. Storm runs on the JVM, can work with any programming language, and easily integrates with queueing and database technologies.

Some key capabilities and benefits of Apache Storm include:

• Processes unbounded streams of data in real time with very low latency.
• Fault-tolerant so that data processing will continue even if a node fails.
• Guarantees that every tuple will be processed.
• Scalable, with ability to scale to massive volumes of data and nodes.
• Easy to set up and operate on cloud infrastructure like AWS.
• Integrates easily with a variety of data sources and external systems.

Storm is used by companies for realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. It processes data streams from sources like Kafka, Kinesis, Twitter, or custom sources and allows you to define topologies to transform and analyze this data.

Apache Storm Features

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