Hadoop has taken rapid strides in this world ridden with Big Data technology, predictive analysis tactics, and open source codes. This open source project has been taken up by numerous vendors who have been developing their own distributions, improving upon its code base, or adding new functionalities. Read on for more insights on the major distributions of Hadoop and how they are different from its standard edition.
Features of Apache Hadoop
Before moving ahead with the stack of top Hadoop distributions, take a look at what a standardized open sourced Hadoop distribution includes:
These are the features of the basic kind of Hadoop components; you will find other solutions too. These include Apache Pig, Apache Hive, Apache Zookeeper, etc., and are used for solving specific tasks, speeding up computations, optimizing routine tasks, and so forth.
Vendor Distributions: Focus and Features
Hadoop linked vendor distributions are specifically designed for overcoming issues that plague the open source edition and for providing additional value to all customers. They focus on:
These distributions have faster reactions to bug detection and promptly deliver patches and fixes; thereby offering more reliable services at all times.
Hadoop vendors are now providing technical assistance that’s making it possible for organizations to adopt more robust platforms for enterprise-grade and mission-critical tasks.
Diverse Hadoop distributions are now coming into the fray and are appropriately supplementing other tools for addressing specific tasks.
Vendors participating in the efforts of improving standard Hadoop distributions are giving back updated codes to the repository, thereby fostering the overall growth of the open-source community.
Top Hadoop Distributions Competing with Big Data Analytics
Cloudera, Hortonworks and MapR—these are the 3 top Hadoop distributions grabbing a larger percentage of the market. While MapR is adding certain proprietary components to M3, M5, and M7 distributions for improving upon the Hadoop framework’s performance and stability, Hortonworks and Cloudera claim to be 100% open source in nature.
Along with these, there are more Hadoop distributions available from Pivotal Software, IBM, Intel, and others. They may serve as important parts of software suite or customized to specific tasks; for instance, Intel’s distribution that’s optimized for performing along with Xeon microprocessor.
Popular Hadoop Distributions and their Key Features
Allocates cluster resources via workloads or through application/user/group for eliminating contention and ensuring Quality-of-Service (QoS)
Easy to configure and manage Cloudera is freely available for services such as HDFS, YARN, HBase, MapReduce and Oozie
For Hadoop operators
For Hadoop developers
“Big data analytics and the Apache Hadoop open source project are rapidly emerging as the preferred Big Data solutions to address business and technology trends that are disrupting traditional data management and processing,” once said Marcus Collins, research analyst at Gartner. In current times, Hadoop distributions are providing open-source technology solutions with increasing scalability, fast big data analytics, less expensive storage systems, and economical server costs in place.
Go for it!