Apache Samza Explained

Apache Samza
Author:LinkedIn
Developer:Apache Software Foundation
Latest Release Version:1.8.0
Latest Release Date:[1]
Programming Language:Scala, Java
Operating System:Cross-platform
Genre:Distributed stream processing
License:Apache License 2.0

Apache Samza is an open-source, near-realtime, asynchronous computational framework for stream processing developed by the Apache Software Foundation in Scala and Java. It has been developed in conjunction with Apache Kafka. Both were originally developed by LinkedIn.[2]

Overview

Samza allows users to build stateful applications that process data in real-time from multiple sources including Apache Kafka.

Samza provides fault tolerance, isolation and stateful processing. Unlike batch systems such as Apache Hadoop or Apache Spark, it provides continuous computation and output, which result in sub-second[3] response times.

There are many players in the field of real-time stream processing and Samza is one of the mature products.[4] [5] [6] It was added to Apache in 2013.[7]

Samza is used by multiple companies.[8] The biggest installation is in LinkedIn.

See also

External links

Notes and References

  1. Web site: Announcing the release of Apache Samza 1.8.0. 28 March 2024.
  2. Web site: How LinkedIn Uses Apache Samza. InfoQ. 2016-09-28.
  3. Web site: Samza: Stateful Scalable Stream Processing at LinkedIn.
  4. Web site: Spark Streaming vs Flink vs Storm vs Kafka Streams vs Samza : Choose Your Stream Processing Framework. www.linkedin.com. en. 2019-07-23.
  5. Web site: Comparing Apache Spark, Storm, Flink and Samza stream processing engines - Part 1. Scott Logic. 2019-07-23.
  6. Web site: Hadoop, Storm, Samza, Spark, and Flink: Big Data Frameworks Compared. DigitalOcean. 2019-07-23.
  7. Web site: Apache Samza. blogs.apache.org. 2019-07-23.
  8. Web site: Samza - Powered By. samza.apache.org. 2019-07-23.