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October 13, 2015 8:42 AM ET

Internet Software and Services

Company Overview of Hortonworks, Inc.

Company Overview

Hortonworks, Inc. focuses on the development, distribution, and support of Hadoop open source project in the United States and internationally. It offers Hortonworks Data Platform (HDP), an enterprise-grade data management platform that enables its customers to capture, store, process, and analyze increasing amounts of existing and new data types without the need to replace their existing data center infrastructure. The company also provides Hortonworks Sandbox, a personal, portable, and free to use Hadoop environment designed to offer the easiest way to get started with Enterprise Grade Hadoop and the HDP. In addition, it provides support subscription, and training and consulting services. ...

5470 Great America Parkway

Santa Clara, CA 95054

United States

Founded in 2011

745 Employees



Key Executives for Hortonworks, Inc.

Chairman and Chief Executive Officer
Age: 48
Total Annual Compensation: $253.1K
President and Chief Operating Officer
Age: 52
Total Annual Compensation: $253.1K
Chief Financial Officer
Age: 49
Total Annual Compensation: $183.3K
Vice President of Engineering
Age: 43
Total Annual Compensation: $200.0K
Vice President of Corporate Strategy
Age: 51
Total Annual Compensation: $133.3K
Compensation as of Fiscal Year 2014.

Hortonworks, Inc. Key Developments

LHP Telematics Selects Hortonworks Data Platform to Modernize Public Services

Hortonworks, Inc. announced LHP Telematics (LHPT), is using the Hortonworks Data Platform (HDP™) to turn data into actionable insights for the Metro Transit of St. Louis (MTL). By using HDP, LHPT helps keep MTL buses operating safely and reliably, serving the greater St. Louis region all year round. Initiating a proactive bus maintenance program, MTL developed the K Plan to combine historical data on bus component failures, comply with changing emission standards and adjust to a smaller work force. To deliver on the K Plan, the LHPT data science team ran algorithms on HDP for pattern recognition to correlate events to component failures and weed out maintenance inefficiencies. As a result, MTL can predict when a component on a particular bus will fail, raising the average time between bus failures by a factor of five. MTL estimates that since initiating the K Plan solution on its buses, the mean time between failures has further extended by 25,000 to 30,000 miles. With the launch of the K Plan, MTL also experienced improvement on operating mileage and a 30% increase in bus lifespan. More than two-thirds of the MTL bus fleet has been equipped with the LHPT and Hortonworks solution – with complete implementation expected in 2018.

Hortonworks, Inc. Announces Availability of Hortonworks DataFlow Support Subscription

Hortonworks, Inc. announced that the Hortonworks DataFlow (HDF) support subscription is now available. Hortonworks DataFlow is powered by Apache NiFi, a top-level open source project, and addresses the tremendous opportunity presented by the Internet of Anything. HDF is designed to make it easy to automate and secure all types of data flows and collect, conduct and curate real-time business insights and actions derived from any data, from anything, anywhere. HDF is complementary to Hortonworks Data Platform (HDP), the Open Enterprise Hadoop platform. HDF provides the ability for more data to be delivered into HDP and delivers full fidelity analytics on all data for every Hortonworks customer. HDF with HDP will give customers a complete set of secure solutions to manage and find value in the increasing volume of new and legacy data types. Apache NiFi is based on technology previously called Niagara Files that was in development and used at scale within the NSA for the last 8 years and was made available to the Apache Software Foundation through the NSA Technology Transfer Program. Some of the use cases include, but are not limited to: Big Data Ingest Offers a simple, reliable and secure way to collect data streams. IoAT Optimization, Allows organizations to overcome real world constraints such as limited or expensive bandwidth while ensuring data quality and reliability. Compliance; Enables organizations to understand everything that happens to data in motion from its creation to its final resting place, which is particularly important for regulated industries that must retain and report on chain of custody. Digital Security; Helps organizations collect large volumes of data from many sources and prioritize which data is brought back for analysis first, a critical capability given the time sensitivity of identifying security breaches.

Hortonworks, Inc. and Open Energi to Deliver Smarter Energy Grid

Hortonworks, Inc. announced that it has expanded its European customer base with the addition of Open Energi. Open Energi has selected the Hortonworks Data Platform (HDP) to transform the way energy is delivered and consumed through smart grids with Hadoop-powered, real-time, Internet of Things (IoT) data Smart grids, powered by sensor data, allow energy consumption to be managed in real-time based on immediate demand and supply data rather than historic patterns of energy use. With HDP, the industry's only Open Enterprise Hadoop solution, Open Energi will help organizations gain valuable insights by analysing real-time information based on data streamed from over 3,000 electricity consuming assets and meters around the United Kingdom. Hortonworks and Open Energi: Building the Virtual Power Station: Open Energi's patented demand response technology is helping to drive momentum behind smart grids by enabling organizations – including the likes of Sainsbury's, United Utilities and Aggregate Industries – to turn energy-intensive equipment such as fridges, pumps and fans into 'smart devices' which can alter their energy use intelligently in response to fluctuations in electricity supply and demand nationwide. Its unique Dynamic Demand technology aggregates consumption across its customers' sites to provide a fast, flexible solution equivalent to a power station, only instead of adjusting supply up or down, it adjusts demand to meet supply. Using HDP, Open Energi will collect, store and analyse sensor data containing information about real-time electricity consumption and control processes more efficiently and at a far greater scale than previously possible. Additionally, HDP will provide a single view of all this information to enable organizations to react swiftly to changing conditions on the grid, and identify ways to generate extra revenue from existing assets, maximise energy savings and spot opportunities to reduce CO2 emissions. Hadoop and the Internet of Things: Better together: As more devices connect to the IoT, an ever-increasing amount of data is being created that can offer valuable insight into a number of areas. In addition to supporting the optimisation of smart grids, Open Enterprise Hadoop's ability to accommodate over 1 trillion files through an internet-scale storage layer can be used to track everything from weather patterns to supporting the healthcare industry to more effectively record and monitor patients' vital statistics and other health indicators.

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