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Apache Storm
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Apache Storm

Overview
Synopsis

Apache Storm is a 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.

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Bigdata Ingestion Software

PAT Rating™ ( Beta)
Editor Rating
Aggregated User Rating
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Ease of use
7.7
7.2
Features & Functionality
7.7
9.2
Advanced Features
7.7
6.5
Integration
7.7
8.1
Performance
7.7
9.6
Training
4.8
Customer Support
7.7
6.1
Implementation
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Bottom Line

Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more.

7.7
Editor Rating
7.4
Aggregated User Rating
4 ratings
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Apache Storm is a 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 has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more.Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. 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.

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Ease of use
Features & Functionality
Advanced Features
Integration
Performance
Training
Customer Support
Implementation
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