|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Flink||22,018||38||18 hours ago||11||September 14, 2022||1,088||apache-2.0||Java|
|Rocketmq||19,842||374||77||19 hours ago||25||June 24, 2023||549||apache-2.0||Java|
|Apache RocketMQ is a cloud native messaging and streaming platform, making it simple to build event-driven applications.|
|Beam||7,158||13||a day ago||557||July 11, 2023||4,266||apache-2.0||Java|
|Apache Beam is a unified programming model for Batch and Streaming data processing.|
|Storm||6,484||1||6 days ago||7||September 19, 2017||41||apache-2.0||Java|
|Seatunnel||6,434||25||2 days ago||3||June 13, 2023||552||apache-2.0||Java|
|SeaTunnel is a next-generation super high-performance, distributed, massive data integration tool.|
|Incubator Streampark||3,436||2 days ago||4||March 20, 2022||378||apache-2.0||Java|
|StreamPark, Make stream processing easier! easy-to-use streaming application development framework and operation platform|
|Flink Training Course||2,815||3 years ago||17|
|Scio||2,485||36||4 days ago||91||August 18, 2023||151||apache-2.0||Scala|
|A Scala API for Apache Beam and Google Cloud Dataflow.|
|Awesome Streaming||2,394||a day ago||3|
|a curated list of awesome streaming frameworks, applications, etc|
|Spark||1,930||18||2 months ago||20||June 01, 2022||188||mit||C#|
|.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.|
Apache Beam is a unified model for defining both batch and streaming data-parallel processing pipelines, as well as a set of language-specific SDKs for constructing pipelines and Runners for executing them on distributed processing backends, including Apache Flink, Apache Spark, Google Cloud Dataflow, and Hazelcast Jet.
Beam provides a general approach to expressing embarrassingly parallel data processing pipelines and supports three categories of users, each of which have relatively disparate backgrounds and needs.
To learn more about the Beam Model (though still under the original name of Dataflow), see the World Beyond Batch: Streaming 101 and Streaming 102 posts on O’Reilly’s Radar site, and the VLDB 2015 paper.
The key concepts in the Beam programming model are:
PCollection: represents a collection of data, which could be bounded or unbounded in size.
PTransform: represents a computation that transforms input PCollections into output PCollections.
Pipeline: manages a directed acyclic graph of PTransforms and PCollections that is ready for execution.
PipelineRunner: specifies where and how the pipeline should execute.
Beam supports multiple language-specific SDKs for writing pipelines against the Beam Model.
Currently, this repository contains SDKs for Java, Python and Go.
Have ideas for new SDKs or DSLs? See the sdk-ideas label.
Beam supports executing programs on multiple distributed processing backends through PipelineRunners. Currently, the following PipelineRunners are available:
DirectRunnerruns the pipeline on your local machine.
DataflowRunnersubmits the pipeline to the Google Cloud Dataflow.
FlinkRunnerruns the pipeline on an Apache Flink cluster. The code has been donated from dataArtisans/flink-dataflow and is now part of Beam.
SparkRunnerruns the pipeline on an Apache Spark cluster.
JetRunnerruns the pipeline on a Hazelcast Jet cluster. The code has been donated from hazelcast/hazelcast-jet and is now part of Beam.
Twister2Runnerruns the pipeline on a Twister2 cluster. The code has been donated from DSC-SPIDAL/twister2 and is now part of Beam.
Have ideas for new Runners? See the runner-ideas label.
Instructions for building and testing Beam itself are in the contribution guide.
Here are some resources actively maintained by the Beam community to help you get started:
|Apache Beam Website||Our website discussing the project, and it's specifics.|
|Java Quickstart||A guide to getting started with the Java SDK.|
|Python Quickstart||A guide to getting started with the Python SDK.|
|Go Quickstart||A guide to getting started with the Go SDK.|
|Tour of Beam||A comprehensive, interactive learning experience covering Beam concepts in depth.|
|Beam Quest||A certification granted by Google Cloud, certifying proficiency in Beam.|
|Community Metrics||Beam's Git Community Metrics.|
To get involved with Apache Beam: