Audience

Developers and companies in search of a big data software solution that integrates with any queueing system and any database system

About Apache Storm

Apache Storm is a free and open source distributed realtime computation system. Apache Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Apache Storm is simple, can be used with any programming language, and is a lot of fun to use! Apache Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Apache Storm is fast: a benchmark clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate. Apache Storm integrates with the queueing and database technologies you already use. An Apache Storm topology consumes streams of data and processes those streams in arbitrarily complex ways, repartitioning the streams between each stage of the computation however needed. Read more in the tutorial.

Integrations

API:
Yes, Apache Storm offers API access

Ratings/Reviews

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Company Information

Apache Software Foundation
Founded: 1999
United States
storm.apache.org

Videos and Screen Captures

Apache Storm Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
In Person
Support
Online

Apache Storm Frequently Asked Questions

Q: What kinds of users and organization types does Apache Storm work with?
Q: What languages does Apache Storm support in their product?
Q: What kind of support options does Apache Storm offer?
Q: What other applications or services does Apache Storm integrate with?
Q: Does Apache Storm have an API?
Q: What type of training does Apache Storm provide?

Apache Storm Product Features

Big Data

Templates
Data Visualization
Collaboration
Data Blends
Data Cleansing
Data Warehousing
High Volume Processing
Data Mining
No-Code Sandbox
Predictive Analytics

Apache Storm Additional Categories