
Storm
Apache Storm is an open-source distributed system for processing unbounded streams of data in real time.

About Storm
Apache Storm is a free, open-source distributed real-time computation system built to reliably process unbounded streams of data, serving a similar role for real-time processing that Hadoop serves for batch processing. It supports use cases including real-time analytics, online machine learning, ETL, continuous computation, and distributed RPC, with benchmarks reporting processing of over one million tuples per second per node. The system integrates with existing queuing and database tools, is fault-tolerant, guarantees data processing, and works with multiple programming languages.
Key features
- Processes unbounded real-time data streams reliably
- Supports real-time analytics, ETL, and machine learning use cases
- Benchmarked at over 1 million tuples per second per node
- Fault-tolerant with guaranteed data processing delivery
- Integrates with existing queuing and database technologies
- Compatible with multiple programming languages
- Free and open-source with no licensing costs
- High throughput with benchmarked performance over 1 million tuples per second per node
- Fault-tolerant design guarantees reliable data processing delivery
Storm at a glance
- Website
- storm.apache.org
- Category
- Development › Developer Tools
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
Guides for Developer Tools
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Accord.NET combines machine learning with audio and image processing libraries in a C# framework.
dlib provides C++ libraries for image processing, machine learning, and related algorithms.
SynapseML provides distributed machine learning algorithms for Spark through its Python library.
The Geni project provides a Clojure dataframe library that runs on Apache Spark.
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Storm FAQ
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