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Analyzed almost 2 years ago. based on code collected about 2 years ago.

Project Summary

Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Storm is simple, can be used with any programming language.
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.
Storm integrates with the queueing and database technologies you already use. A 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.

Tags

bigdata cloud cluster clustercomputing datastreams distributed distributed_computing distributedsystem ec2 fault_tolerant java json python queueing realtime scalable streamingdata thrift tuples zookeeper

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These details are provided for information only. No information here is legal advice and should not be used as such.

Project Security

Vulnerabilities per Version ( last 10 releases )

Project Vulnerability Report

Security Confidence Index

Poor security track-record
Favorable security track-record

Vulnerability Exposure Index

Many reported vulnerabilities
Few reported vulnerabilities

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About Project Security

Languages

Languages?height=75&width=75
Java
86%
Python
7%
11 Other
7%

30 Day Summary

Sep 8 2019 — Oct 8 2019

12 Month Summary

Oct 8 2018 — Oct 8 2019
  • 464 Commits
    Down -354 (43%) from previous 12 months
  • 45 Contributors
    Down -22 (32%) from previous 12 months

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