Software:Apache Samza

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Short description: Open-source distributed stream processing

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Apache Samza
Apache Samza logo.svg
Original author(s)LinkedIn
Developer(s)Apache Software Foundation
Stable release
1.5.1 / 28 August 2020; 4 years ago (2020-08-28)[1]
RepositorySamza Repository
Written inScala, Java
Operating systemCross-platform
TypeDistributed stream processing
LicenseApache License 2.0
Websitesamza.apache.org

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

References

  1. ↑ "Announcing the release of Apache Samza 1.5.1". https://samza.apache.org/blog/2020-08-28-announcing-the-release-of-apache-samza--1.5.1. 
  2. ↑ "How LinkedIn Uses Apache Samza". https://www.infoq.com/articles/linkedin-samza. 
  3. ↑ "Samza: Stateful Scalable Stream Processing at LinkedIn". http://www.vldb.org/pvldb/vol10/p1634-noghabi.pdf. 
  4. ↑ "Spark Streaming vs Flink vs Storm vs Kafka Streams vs Samza : Choose Your Stream Processing Framework" (in en). https://www.linkedin.com/pulse/spark-streaming-vs-flink-storm-kafka-streams-samza-choose-prakash. 
  5. ↑ "Comparing Apache Spark, Storm, Flink and Samza stream processing engines - Part 1". https://blog.scottlogic.com/2018/07/06/comparing-streaming-frameworks-pt1.html. 
  6. ↑ "Hadoop, Storm, Samza, Spark, and Flink: Big Data Frameworks Compared". https://www.digitalocean.com/community/tutorials/hadoop-storm-samza-spark-and-flink-big-data-frameworks-compared. 
  7. ↑ "Apache Samza". https://blogs.apache.org/samza/. 
  8. ↑ "Samza - Powered By". https://samza.apache.org/powered-by/. 

External links



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