Data Lifecycle & Governance
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HDP is the industry's only true secure, enterprise-ready open source Apache™ Hadoop® distribution based on a centralized architecture (YARN). HDP addresses the complete needs of data-at-rest, powers real-time customer applications and delivers robust big data analytics that accelerate decision making and innovation.
Hortonworks is committed to 100% open approach to software development that spurs innovation HDP enables enterprises to deploy, integrate and work with unprecedented volumes of structured and unstructured data HDP delivers enterprise-grade software that fosters innovation and prevents vendor lock-in
HDP is based on a centralized architecture supported by YARN that allocates resources among various applications YARN maximizes data ingestion by enabling enterprises to analyze data to support diverse use cases YARN coordinates cluster-wide services for operations, data governance and security
HDP is interoperable with a broad ecosystem of data center and cloud providers HDP minimizes expense and effort required to connect customer’s IT infrastructure with HDP’s data and processing capabilities With HDP, customers can preserve their investment in existing IT architecture as they adopt Hadoop
HDP provides centralized Hadoop cluster management and monitoring With HDP, security and data governance is built into the platform HDP ensures that security is consistently administered across data access enginesSECURITY
Administration Authentication Authorization Auditing Data Protection
YARN and Hadoop Distributed File System (HDFS) are the cornerstone components of Hortonworks Data Platform (HDP) for data-at-rest. 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.
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 for big data analytics 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.
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.
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.
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.
Cloudbreak, as part of Hortonworks Data Platform and powered by Apache Ambari, allows simplified provisioning and Hadoop cluster management 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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Progressive Insurance is one of the largest U.S. auto insurance companies. The team turned to Hortonworks Data Platform to transform its business with massive ingest of new types of data. Progressive uses HDP for ad placement and to store driving data for its usage-based insurance products.
See how Neustar used HDP to grow retention while saving millions in annual expenses.
Learn how the Symantec Cloud Platform team leveraged HDP to accelerate the rate of data ingest—and its average time to analysis...
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