Hortonworks Data Platform (HDP)


Hortonworks Data Platform (HDP) - a platform for the management and analytical processing of Big Data

Hortonworks Data Platform (HDP) is the only true, secure, enterprise-optimized Apache Hadoop open source distribution based on a centralized architecture and distributed processing across server clusters.

The solution covers all business needs from acquisition, to mass storage, processing of data-at-rest or in-line, without constraints on format or data structure.

The platform also provides a suite of relevant, state-of-the-art tools for efficiently analyzing data to accelerate decision-making, and innovation in business.


Product features

Open source solution

  • Hortonworks is committed to providing and developing fully open source software to encourage innovation.
  • HDP enables organizations to deploy, integrate, and work with unprecedented volumes of structured and unstructured data.


  • HDP is compatible with a broad ecosystem of data centre and cloud service providers.
  • HDP reduces the expense and effort required to connect IT infrastructure to data processing and storage capabilities.
  • With HDP, companies can keep the investments made in the existing IS and simply add Hadoop as reinforcement.

Ready for business

  • HDP centralizes management and monitoring of Hadoop server clusters.
  • Embedded in the platform are the essentials of security and data governance.
  • HDP ensures that data access engines integrate security at all levels.


How can NOVIPRO help?

Starting a Big Data initiative is not always the simplest of adventures.

NOVIPRO can support you at every stage of the process, from the design of a Big Data strategy to decision-making based on data insights, while securing the integration of a technology such as Hortonworks.

Our certified Hortonworks experts will assist you in:

  • Installation of the machines and operating system.
  • Installing HDP.
  • Settings, administration, and optimization of HDP.
  • Ingestion, governance, and data management on the platform.
  • The use of tools for data manipulation and analysis of the Hadoop ecosystem (Pig, Hive, Spark, etc.).
  • Interface with business intelligence tools.
  • Training of IT user and business lines.