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Apache Storm

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Faust

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Apache Storm vs Faust: What are the differences?

What is Apache Storm? Distributed and fault-tolerant realtime computation. Apache 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 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.

What is Faust? A library for building streaming applications in Python. It is a stream processing library, porting the ideas from Kafka Streams to Python. It provides both stream processing and event processing, sharing similarity with tools such as Kafka Streams, Apache Spark/Storm/Samza/Flink.

Apache Storm and Faust belong to "Stream Processing" category of the tech stack.

Some of the features offered by Apache Storm are:

Storm integrates with the queueing and database technologies you already use
Simple API
Scalable

On the other hand, Faust provides the following key features:

Stream processing
Event processing
Build high performance distributed systems

Apache Storm is an open source tool with 5.92K GitHub stars and 4K GitHub forks. Here's a link to Apache Storm's open source repository on GitHub.

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Pros of Apache Storm

Pros of Faust

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Flexible
6
Easy setup
4
Event Processing
3
Clojure
2
Real Time

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What is Apache Storm?

Apache 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 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.

What is Faust?

It is a stream processing library, porting the ideas from Kafka Streams to Python. It provides both stream processing and event processing, sharing similarity with tools such as Kafka Streams, Apache Spark/Storm/Samza/Flink.

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What companies use Apache Storm?

What companies use Faust?

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What tools integrate with Apache Storm?

What tools integrate with Faust?

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Scaling Wix to 60M Users - From Monolith to Microservices

May 29 2015 at 9:25AM

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What are some alternatives to Apache Storm and Faust?

Apache Spark

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

Amazon Kinesis

Amazon Kinesis can collect and process hundreds of gigabytes of data per second from hundreds of thousands of sources, allowing you to easily write applications that process information in real-time, from sources such as web site click-streams, marketing and financial information, manufacturing instrumentation and social media, and operational logs and metering data.

Apache Flume

It is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data. It has a simple and flexible architecture based on streaming data flows. It is robust and fault tolerant with tunable reliability mechanisms and many failover and recovery mechanisms. It uses a simple extensible data model that allows for online analytic application.

Apache Flink

Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.

See all alternatives

Apache Storm vs Faust

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Pros of Apache Storm

Pros of Faust

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What is Apache Storm?

What is Faust?

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What companies use Apache Storm?

What companies use Faust?

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What tools integrate with Apache Storm?

What tools integrate with Faust?

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