Hortonworks Data Platform

What is Hortonworks Data Platform?

Hortonworks Data Platform (HDP) was an open-source data management platform that helped businesses store, process, and analyze large amounts of data. HDP was a Hadoop distribution that incorporated the most up-to-date Apache Hadoop features, including Hadoop Distributed File System (HDFS) and YARN. However, as of January 3, 2019, Hortonworks has merged with Cloudera, and HDP has been incorporated into the Cloudera Data Platform (CDP). The innovative features and technologies of HDP are now part of CDP.

How Hortonworks Data Platform Works

HDP is a comprehensive data platform that provides a wide range of tools and services for storing, processing, and analyzing data. Hortonworks Data Platform is built on Apache Hadoop and includes a variety of open-source tools for data processing and analytics, such as Apache Spark, Apache Hive, Apache Pig, Apache Flume, Apache Storm, and Apache ZooKeeper. These tools can be used in conjunction with a variety of programming languages, including Python, Java, and Scala.

The platform is designed to be efficient and scalable, with the ability to handle large amounts of data quickly and easily. Additionally, HDP offers a range of enterprise-level features and capabilities, such as security and governance tools, to ensure that data is managed and protected appropriately.

Why Hortonworks Data Platform is important

Hortonworks Data Platform is a vital tool for businesses that want to process large amounts of data and derive insights from it. It offers a comprehensive suite of tools and services for data processing and analytics, making it easier for businesses to manage and analyze their data efficiently. HDP also includes enterprise-level security and governance tools to ensure that data is managed and protected appropriately.

Through HDP, businesses can improve their operational efficiency, enhance their decision-making processes, and gain a competitive advantage by leveraging the power of big data. HDP can help businesses optimize their existing technologies and create new data-driven solutions that drive value and innovation.

The most important Hortonworks Data Platform use cases

The most crucial use cases for Hortonworks Data Platform include:

  • Data management: HDP provides a comprehensive platform for data management, storage, and processing, allowing businesses to store, manage, and analyze large amounts of data efficiently.
  • Data processing and analytics: HDP includes a suite of powerful data processing and analytics tools, making it easier for businesses to derive insights from their data.
  • Real-time data processing: HDP includes real-time data processing tools, such as Apache Storm and Apache Kafka, making it easier for businesses to process and analyze data in real time.
  • Machine learning: HDP offers machine learning tools and services, such as Apache Spark and Apache Mahout, that allow businesses to build and deploy machine learning models with their data.

Other technologies and terms that are closely related to Hortonworks Data Platform include:

  • Apache Hadoop: HDP is built on Apache Hadoop, which is a framework for distributed storage and processing of large data sets.
  • Apache Spark: HDP includes Apache Spark, which is an open-source data processing engine for large-scale data processing and analytics.
  • Data lake: A data lake is a large, centralized repository that allows businesses to store and manage all of their data regardless of its structure or type.

Why Dremio users would be interested in Hortonworks Data Platform

Dremio users may have been interested in Hortonworks Data Platform because it provided a comprehensive suite of tools and services for data processing and analytics. Now, those same tools and features exist within the Cloudera Data Platform. When used in conjunction with Dremio's data virtualization technology, the data management and processing capabilities of the CDP can provide a reliable and scalable platform for storing and analyzing large amounts of data.

When Dremio is a better choice than Hortonworks Data Platform

Dremio is a better choice than Hortonworks Data Platform or the current Cloudera Data Platform in situations where businesses need to access and analyze data from various sources quickly and efficiently. Dremio's data virtualization technology makes it easier for businesses to integrate and analyze data from different sources, regardless of where it is stored or how it is structured.

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