Hadoop HDFS
Hadoop HDFS is one of the most potent models of Apache Hadoop. The software is in-demand in companies and organizations for research and production purposes. Besides, Hadoop HDFS is continuously evolving to stay at par or even ahead of the rapidly changing computing market. Hadoop HDFS allows distributed computing and high-throughput access in the field of big data analysis and data application. The software can involve thousands of machines, each with individual computation and storage functions.
Top Hadoop HDFS Alternatives
- TradingView
- Splunk
- Cloudera
- Apache Pig
- Hitwise
- Azure HDInsight
- MonsterInsights
- SAP Lumira
- AWS Lake Formation
- Splunk Enterprise
- ObservePoint
- 1010data
- Apache Kudu
- Apache Kylin
- Apache Phoenix
Top Hadoop HDFS Alternatives and Overview
TradingView
TradingView is a platform that allows traders to choose and analyze the stocks before buying them.
Splunk
Splunk is a big data analytics platform used to collect and analyze machine-generated big data and deliver real-time business insights for better decision making.
Hitwise
Hitwise is a platform that provides solutions to the brands for improving their business.
Azure HDInsight
Azure HDInsight, from Microsoft, is a big data processing and distribution software.
MonsterInsights
It helps you understand your website traffic and user behavior across your web pages...
SAP Lumira
It features many tools to perform self-service data visualization and create amazing maps, infographics, charts...
AWS Lake Formation
The software enables users to create data catalogues to categorically store data and define respective...
Splunk Enterprise
It allows the clients to automate the process of collection of data from various sources...
ObservePoint
It standardizes all your data aggregations and delivers you only accurate details...
1010data
It helps businesses deliver actionable insights quickly based on their enterprise data...
Apache Phoenix
It is incredibly fast in its operations so that it can deliver real-time results with...
Hadoop HDFS Review and Overview
Apache Hadoop is a database software that provides distributed, scalable, and reliable computing. The software is extremely efficient in big data processing, wherein simple programming templates can process data across multiple clusters of computers. The software offers smooth scale-up from individual servers to thousands of machines, each providing local storage and computation. Instead of depending entirely on hardware for delivering high availability, the software's pre-designed library can identify and manage failures right at the application phase.
Multiple Modules
Apache Hadoop remains one of the most in-demand software in organizations and companies for production and research. There are five critical modules to Apache Hadoop. For instance, Hadoop Common provides the necessary functionalities for supporting the other modules HDFS offers high throughput accessibility for data application. Hadoop YARN delivers management of cluster resources and job scheduling. Similarly, Hadoop MapReduce can process big data sets. Furthermore, Hadoop Ozone offers object storage for Hadoop.
Continuous Development
Hadoop HDFS is subject to constant development to make it efficient for the rapidly evolving computing sector. Being open-source software, anyone can contribute software to suit Hadoop modules, including Hadoop HDFS. Moreover, the software provides an issue-tracking mode to address enhancement requests through JIRA and detect bugs. HDFS Jira subproject dedicatedly collects HDFS-specific issues. Furthermore, the software has a version control system, such as the Apache jit repository that houses all source codes of Hadoop. The single pool holds HDFS, MapReduce, Yam, and other components.
Release Versioning
The typical version format of Apache Hadoop reads <major>.<minor>.<maintenance>, wherein each component is a numeric figure. These versions also bear suffixes, such as alpha1 or beta2, to denote the release quality and API compatibility. Developers use major versions to introduce notable and incompatible modifications. Similarly, minor versions represent novel compatible characteristics within a major version. Maintenance releases tend to include low-risk support modifications and bug fixes.
Company Information
Company Name: The Apache Software Foundation
Founded in: 1999