Hortonworks Data Platform
HDP 2.1 delivers enterprise Hadoop
Architected, developed, and built completely in the open, Hortonworks Data Platform (HDP) provides Hadoop designed to meet the needs of enterprise data processing.
HDP is a platform for multi-workload data processing across an array of processing methods – from batch through interactive to real-time – all supported with solutions for governance, integration, security and operations.
HDP : A full Enterprise Hadoop Data Platform
Hortonworks Data Platform provides Enterprise Hadoop: the full suite of essential Hadoop capabilities that are required by the enterprise and that serve as the functional definition of any data platform technology. This comprehensive set of capabilities is aligned to the following functional areas: Data Management, Data Access, Data Governance and Integration, Security, and Operations.
Access data from a variety of engines
YARN provides the foundation for 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 search and streaming are also supported with Apache Solr and Storm. Additionally, ecosystem partners provide even more specialized data access engines for YARN.
Store & process all of your data assets
The core components of HDP are YARN and Hadoop Distributed Filesystem (HDFS). YARN is the data operating system of Hadoop that enables you to process data simultaneously in multiple ways. YARN provides the resource management and pluggable architecture for enabling a wide variety of data access methods. HDFS provides the scalable, fault-tolerant, cost-efficient storage for big data.
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 all of the data management providers to enable their tools to work and integrate with HDP.
Authentication, Authorization, & Data Protection
Security is woven and integrated into at HDP in multiple layers. Critical features for authentication, authorization, accountability and data protection are in place so that you can secure HDP across these key requirements. Consistent with 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.
Provision, manage, monitor and operate Hadoop clusters at scale
Operations teams deploy, monitor and manage a Hadoop cluster within their broader enterprise data ecosystem. HDP delivers a complete set of operational capabilities that provide both visibilities into the health of your cluster as well as tooling to manage configuration and optimize performance across all data access methods. Apache Ambari provides APIs to integrate with existing management systems: for instance Microsoft System Center and Teradata ViewPoint.
Integrates with your data analytics tools
Hortonworks has a thriving ecosystem of vendors providing additional capabilities and/or integration points. These partners contribute to and augment Hadoop with given functionality across Business Intelligence and Analytics, Data Management Tools and Infrastructure. Systems Integrators of all sizes are building skills to assist with integration and solution development.
More info : HDP as part of a modern data architecture
Deploy on-premise, in the cloud, on Windows too.
HDP provides the broadest range of deployment options for Hadoop: from Windows Server or Linux to virtualized Cloud deployments. It is the most portable Hadoop distribution, allowing you to easily and reliably migrate from one deployment type to another.
Not only open-source, but built in the open.
HDP demonstrates our commitment to growing Hadoop and it’s sub-projects with the community and completely in the open. HDP is assembled entirely of projects built through the Apache Software Foundation. How is this different from open-source, and why is it so important?
Proprietary Hadoop extensions can be made open-source simply by publishing to github. But compatability issues will creep in, and as the extensions diverge from the trunk, so too does reliance on the extension’s vendor.
Community driven development is different. By combining the efforts of technologists across a diverse range of companies, the roadmap is stronger, and the quality deeper. In the long run community driven innovation will outpace that of any single company. Learn More…