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Hortonworks Data Platform

Hortonworks Data Platform (HDP) is an open-source framework for distributed storage and processing of large datasets, built on Apache Hadoop. It provides a comprehensive platform that includes tools for data management, data access, data governance, security, and operations, allowing organizations to manage big data at scale efficiently. HDP supports various workloads such as batch processing, interactive querying, real-time analytics, and machine learning within a unified ecosystem.

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About Hortonworks Data Platform

Hortonworks Data Platform was created in 2011 by Hortonworks, a company founded by former Yahoo engineers. It was developed to provide an enterprise-ready open-source platform based on Apache Hadoop, addressing the need for scalable and reliable big data processing solutions. The platform aimed to simplify and enhance Hadoop's capabilities for businesses seeking to leverage big data analytics effectively.

Strengths of Hortonworks Data Platform included its open-source nature, strong integration with Apache Hadoop, comprehensive data management features, and robust support for various analytics workloads. Weaknesses involved complexity in setup and management, potential performance issues with large-scale deployments, and reliance on community support for certain aspects. Competitors included Cloudera's CDH (Cloudera Distribution Including Apache Hadoop), MapR (now part of HPE), and cloud-based big data services from AWS, Google Cloud, and Microsoft Azure.

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