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HDP es la única distribución de Apache™ Hadoop® de código abierto y lista para las empresas basada en una arquitectura centralizada (YARN). HDP responde a las necesidades completas de los datos en espera, impulsa las aplicaciones en tiempo real de los clientes y ofrece un análisis robusto que aceleral la toma de decisiones y la innovación.

Powering the Future of Data


Ciclo de vida de los datos y gobernanza

Data workflow


Provisioning, Managing, & Monitoring



Administration Authentication Authorization Auditing Data Protection


HDFSHadoop Distributed File System


Cornerstone of Hortonworks Data Platform

YARN and Hadoop Distributed File System (HDFS) are the cornerstone components of Hortonworks Data Platform (HDP). While HDFS provides the scalable, fault-tolerant, cost-efficient storage for your big data lake, YARN provides the centralized architecture that enables you to process multiple workloads simultaneously. YARN provides the resource management and pluggable architecture for enabling a wide variety of data access methods.

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Data Management

Data streaming, processing and analytics engines for a variety of workloads

Hortonworks Data Platform includes a versatile range of processing engines that empower you to interact with the same data in multiple ways, at the same time. This means applications can interact with the data in the best way: from batch to interactive SQL or low latency access with NoSQL. Emerging use cases for data science, search and streaming are also supported with Apache Spark, Storm and Kafka.

Data Access

Load and manage data according to policy

HDP extends data access and management with powerful tools for data governance and integration. They provide a reliable, repeatable, and simple framework for managing the flow of data in and out of Hadoop. This control structure, along with a set of tooling to ease and automate the application of schema or metadata on sources is critical for successful integration of Hadoop into your modern data architecture.

Hortonworks has engineering relationships with many leading data management providers to enable their tools to work and integrate with HDP.

Gobernanza e integración de los datos

Authentication, authorization, and data protection

Security is woven and integrated into HDP in multiple layers. Critical features for authentication, authorization, accountability and data protection are in place to help secure HDP across these key requirements. Consistent with this approach throughout all of the enterprise Hadoop capabilities, HDP also ensures you can integrate and extend your current security solutions to provide a single, consistent, secure umbrella over your modern data architecture.

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Take the guesswork out of operating Hadoop

Operations teams deploy, monitor and manage a Hadoop cluster within their broader enterprise data ecosystem. Apache Ambari simplifies this experience. Ambari is an open source management platform for provisioning, managing, monitoring, and securing the Hortonworks Data Platform. It enables Hadoop to fit seamlessly into your enterprise environment.

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Provision and manage Hadoop clusters in any cloud environment

Cloudbreak, as part of Hortonworks Data Platform and powered by Apache Ambari, allows you to simplify the provisioning of clusters in any cloud environment including; Amazon Web Services, Microsoft Azure, Google Cloud Platform and OpenStack. It optimizes your use of cloud resources as workloads change.

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What's New in Hortonworks Data Platform 2.5

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For Security Administrators & Data Stewards

  • Classification-based Policy. ​ Assign access to data assets based on reusable metadata tags such as PCI or PII.
  • Location-based Policy. Customize entitlements based on geography. A user trying to access the same data from different locations would be subject to unique geographical context.
  • Data Expiry-based Policy Assign expiration dates to data tag to automatically deny users access to the tagged data after the expiration date.
  • Prohibition-based Policy. Define security policy that restricts combining two data sets to help avoid privacy violations.
  • Row Level Security & Dynamic Data Masking. Restrict row access and anonymize sensitive data in real-time in Hive based on user characteristics and runtime context.
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Para operadores Hadoop

  • Role-Based Access Control. Apache Ambari 2.4 includes additional cluster operational roles to provide more granular division of control for cluster operations.
  • Log Search (Technical preview). Automatically configures the collection of cluster operational metrics to aid with analysis and troubleshooting by including a new Log Search service.
  • Customizable Cluster Alerts. Tailor HDP to fit with your enterprise monitoring environment by configuring a set of predefined alerts that seamlessly integrates with your existing enterprise monitoring tools.
  • Activity Reporting and Visualization. Activity Reporting and Visualization in Hortonworks SmartSense 1.3 (available separately) helps Hadoop operators understand how their cluster operates.
HDP Downloads

Try out the latest HDP features and functionality with Hortonworks Sandbox, or set HDP up for a production environment, install and configure your clusters.

HDP Add-Ons

Check out HDP add-ons for connecting with popular BI tools, powering search queries and more.