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

storm.apache.org
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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
Best for: Developers and teams that need to reliably process large, continuous real-time data streams for analytics, machine learning, ETL, or distributed RPC workloads.
Good for
  • 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

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

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Storm FAQ

What common use cases does Apache Storm support?
Real-time analytics, online machine learning, continuous computation, distributed RPC, ETL, and other stream processing tasks.
What performance has Apache Storm demonstrated in benchmarks?
A benchmark recorded processing of over one million tuples per second per node.
Does Apache Storm integrate with existing data tools?
Yes, it works with common queuing and database technologies users already use.
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