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Editor to share with you what the top apache6 projects are, I believe most people do not know much about it, so share this article for your reference, I hope you can learn a lot after reading this article, let's go to know it!

Since its establishment in 1999, the Apache Software Foundation has successfully established its own strong biosphere. Many excellent open source projects have emerged in its community, and more and more domestic and foreign projects are going to this international open source community to incubate.

It is reported that at present, all Apache projects need to be incubated through an incubator to meet a series of quality requirements before graduation. Projects that graduate from the incubator are either independent top-level projects or sub-projects of other top-level projects.

To make it easier for you to understand the standards for Apache incubation, this article takes an inventory of several top-level projects that Apache incubated successfully and managed independently from January 1, 2016 to January 19, 2017.

1 、 Apache Beam

Apache Beam is an incubation program contributed by Google to the Apache Foundation on February 1, 2016. it officially announced its graduation on January 10, 2017 and upgraded to a top-level Apache program.

The main goal of Apache Beam is to unify the programming paradigm of batch and stream processing, and to provide SDK with simple, flexible, rich function and strong expression ability for infinite, out-of-order, web-scale dataset processing. The project focuses on the programming paradigm and interface definition of data processing, and does not involve the implementation of the specific execution engine. Apache Beam hopes that data processors developed based on Beam can be executed on any distributed computing engine.

2 、 Apache Eagle

Apache Eagle originated from eBay and was first used to solve the monitoring problem of large-scale Hadoop clusters. It was submitted to Apache for incubation on October 26th, and officially announced its graduation as a top-level Apache project on January 10th, 2017.

Apache Eagle is an open source monitoring and alerting solution for intelligent real-time identification of security and performance issues on big data's platform, such as Apache Hadoop, Apache Spark, etc. Apache Eagle mainly includes: high scalability, high scalability, low latency, dynamic coordination and other characteristics, support real-time monitoring of data behavior, can immediately detect access to sensitive data or malicious operations, and take immediate measures.

3 、 Apache Geode

Apache Geode was originally developed by Gemstone Systems as a commercial product, and was widely used in the financial field at the beginning, as a transactional, low-latency data engine for Wall Street trading platform. The code was submitted to the Apache Incubator on April 27, 2015 and graduated to become a top-level Apache project on November 21, 2016.

Apache Geode is a data management platform that provides real-time, consistent access to data-critical applications throughout the cloud architecture. It uses dynamic data replication and partitioning technology to achieve high availability, high performance, high scalability, and fault tolerance. In addition, for a distributed data container, Apache Geode is a memory-based data management system that provides reliable asynchronous event notification and reliable message delivery.

4 、 Apache Twill

Apache Twill submitted the code to the Apache Incubator on November 14, 2013, and announced its graduation as a top-level Apache program on July 27, 2016.

Apache Twill provides rich built-in functions for common distributed applications for development, deployment, and management, greatly simplifying the operation and management of Hadoop clusters. It has become a key component behind the Cask data Application platform (CDAP), using YARN containers and Java threads as abstractions. CDAP is an open source integration and application platform that enables developers and organizations to easily build, deploy and manage data applications on Hadoop and Spark.

5 、 Apache Kudu

Apache Kudu, a data storage system led by Cloudera, became an Apache incubation project on December 3, 2015. it officially announced its graduation and upgraded to a top-level Apache project on July 25, 2016.

Apache Kudu is an open source columnar storage engine built for the Hadoop ecosystem, designed to implement flexible, high-performance analysis pipelines. It supports many operations in traditional databases, including real-time inserts, updates, and deletions. It is currently used in different companies and organizations in many industries, including retail, online service delivery, risk management and digital advertising, as well as Xiaomi.

6 、 Apache Bahir

Apache Bahir's code was originally extracted from the Apache Spark project, then provided as a stand-alone project, and was announced as a top-level Apache project on June 29th, 2016.

Apache Bahir extends the coverage of the analysis platform by providing a variety of stream connectors (streaming connectors) and SQL data sources. At first, it only provides expansion for Apache Spark, but now it also provides for Apache Flink, and later may provide expansion services for Apache Beam and more platforms.

These are all the contents of what are the top projects of apache6. Thank you for reading! I believe we all have a certain understanding, hope to share the content to help you, if you want to learn more knowledge, welcome to follow the industry information channel!

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