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.
Faust is a tool in the Stream Processing category of a tech stack.
Faust is an open source tool with 4K GitHub stars and 295 GitHub forks. Here’s a link to Faust's open source repository on GitHub
Who uses Faust?
Python, Django, Flask, SQLAlchemy, and NumPy are some of the popular tools that integrate with Faust. Here's a list of all 8 tools that integrate with Faust.
Why developers like Faust?
Here’s a list of reasons why companies and developers use Faust
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- Stream processing
- Event processing
- Build high performance distributed systems
- Real-time data pipelines
Faust Alternatives & Comparisons
What are some alternatives to Faust?
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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.
It is a client library for building applications and microservices, where the input and output data are stored in Kafka clusters. It combines the simplicity of writing and deploying standard Java and Scala applications on the client side with the benefits of Kafka's server-side cluster technology.
An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.
It is a data streaming platform based on Apache Kafka: a full-scale streaming platform, capable of not only publish-and-subscribe, but also the storage and processing of data within the stream
KSQL is an open source streaming SQL engine for Apache Kafka. It provides a simple and completely interactive SQL interface for stream processing on Kafka; no need to write code in a programming language such as Java or Python. KSQL is open-source (Apache 2.0 licensed), distributed, scalable, reliable, and real-time.