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Commercial distributions mainly provide more professional technical support, which is more important for large enterprises. Different distributions have their own characteristics. This paper makes a brief comparison of different distributions. Comparative version selection: DKhadoop distribution, cloudera distribution, hortonworks distribution, MAPR distribution, Huawei hadoop distribution

Hadoop is a software framework capable of distributed processing of a large amount of data. Hadoop processes data in a reliable, efficient, and scalable manner. In addition to Apache hadoop, Hadoop distributions such as cloudera,hortonworks,mapR, Huawei and DKhadoop all provide their own commercial versions. Commercial distributions mainly provide more professional technical support, which is more important for large enterprises. Different distributions have their own characteristics. This paper makes a brief comparison of different distributions.

Comparative version selection: DKhadoop distribution, cloudera distribution, hortonworks distribution, MAPR distribution, Huawei hadoop distribution

1. DKhadoop distribution: effectively integrates all the components of the whole HADOOP ecosystem, deeply optimizes and recompiles into a complete and higher-performance big data general computing platform, realizing the organic coordination of various components. Therefore, compared with the open source big data platform, DKH has a performance improvement of up to 5 times (maximum) in computing performance. DKhadoop simplifies the complex configuration of big data cluster to three kinds of nodes (master node, management node and computing node), which greatly simplifies the management, operation and maintenance of the cluster and enhances the high availability, high maintainability and high stability of the cluster.

2. Cloudera distribution: CDH is the hadoop distribution of Cloudera, which is completely open source and has better compatibility, security and stability than Apache hadoop.

3. Popular Hortonworks release: Hortonworks's main product is Hortonworks Data Platform (HDP), which is also a 100% open source product. Its version features: HDP includes all the key components of a stable version of Apache Hadoop; easy to install, HDP includes a modern, intuitive user interface installation and configuration tool.

4. MAPR distribution: mapR has both free and commercial versions, and the free version has been reduced in terms of functionality.

5. Huawei hadoop release: Huawei's hadoop version is based on the self-developed Hadoop HA platform and builds the HA functions of NameNode, JobTracker and HiveServer. After a process failure, the system automatically Failover without human intervention. This is also a small patch for hadoop, which is far less thorough than the mapR solution.

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