Review

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.

Category

Bigdata Ingestion Software

PAT Rating™

Editor Rating

Aggregated User Rating

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Ease of use

7.7

6.4

Features & Functionality

7.7

8.9

Advanced Features

7.7

7.3

Integration

7.7

8.1

Performance

7.7

9.1

Training

4.9

Customer Support

7.7

6.0

Implementation

5.8

Renew & Recommend

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

7 ratings

You have rated this

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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