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Company Overview of Hortonworks, Inc.
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
Founded in 2011
Key Executives for Hortonworks, Inc.
Chairman and Chief Executive Officer
Total Annual Compensation: $253.1K
President and Chief Operating Officer
Total Annual Compensation: $253.1K
Chief Financial Officer
Total Annual Compensation: $183.3K
Vice President of Engineering
Total Annual Compensation: $200.0K
Vice President of Corporate Strategy
Total Annual Compensation: $133.3K
Compensation as of Fiscal Year 2014.
Hortonworks, Inc. Key Developments
Hortonworks Appoints Ingrid Burton as Chief Marketing Officer
Jul 7 15
Hortonworks announced it has appointed Ingrid Burton as Chief Marketing Officer. She will be responsible for the company's global go-to-market strategy, overseeing all corporate product, digital, field and partner marketing functions. Ingrid was previously senior vice president of technology and innovation marketing at SAP where she led marketing for a large portfolio of data and analytics products and technologies, including SAP HANA. Prior to that, she was chief marketing officer at both Silver Spring Networks and Plantronics, as well as more than 15 years holding senior marketing roles at Sun Microsystems and software development roles at GTE, Megatek and United Technologies.
Saama Technologies, Inc. Partners with Hortonworks to Deliver Insurance Analytics Platform
Jun 9 15
Saama Technologies, Inc. has partnered with Hortonworks to deliver the insurance-specific data analytics platform. This combined offering helps insurance companies quickly uncover and operationalize strategic data assets and deploy pre-integrated analytics solutions across their companies. Data is the most important asset for insurance companies. Based on the flexibility and reach of the new data lake, insurance companies will be able to deploy elastic search and completely new analytics use-cases to help with coding and underwriting. For the first time, analysts, underwriters and actuaries will have direct access to the data in native format in a self-service mode. They will be able to surface and experiment with new data sources and combinations of data objects, increasing competitive edge for their companies. Saama will focus on the team-selling, implementation and deployment of Hortonworks together with the overall solution build. The two companies will integrate Saama’s Insurance Data Model, Fluid Analytics EngineTM and Hortonworks Hadoop Technology. This will enable insurance companies to integrate and leverage all kinds of unstructured and structured data sources from inside and outside the company through a uniform and accessible data lake for explorative, advanced analytics at the speed of business.
Hortonworks Announces Release of Hortonworks Data Platform Version 2.3
Jun 8 15
Hortonworks announced Hortonworks Data Platform (HDP™) version 2.3, the industry's only 100% open source Apache Hadoop platform. This release focuses on easing enterprise adoption by eliminating administration complexities, improving developer productivity, enhancing security and data governance, and delivering proactive cluster monitoring. The core new functionalities of HDP 2.3 include: For the Hadoop Administrator: Guided configurations make installation and configuration of HDFS, YARN, Hive and HBase easier and more predictable. A customizable operations dashboard allows administrators to focus on the cluster's key performance indicators. Expanded deployment support for all HDP components including rolling upgrades between feature bearing releases and high availability configuration support via Ambari blueprints. Automated Host Discovery for fast and predictable cluster formation. Introduction of Cloudbreak from the recent SequenceIQ acquisition, automating provisioning of HDP clusters in any cloud environment. For the Hadoop Developer: Enriched SQL semantics and new Hive user view in Ambari to write, run and debug queries. Web interface for forms-based creation of Apache Falcon data feeds and pipeline processing. Enhanced Apache Spark on YARN with the new Data Frame API and machine learning algorithms for Spark applications, as well as a technology preview of Spark SQL. Extensive Security and Data Governance Enhancements. Data Protection: HDFS transparent data encryption along with an encryption key management store provided by Apache Ranger. Security Administration, Authorization, and Audit: Apache Ranger now manages authorization and audit policies for Apache Kafka, Apache Solr, and multi-tenant YARN queues, and enables custom 3rd-party components to plug into its centralized security architecture. Authentication: Apache Knox now has bi-directional SSL support and LDAP data caching for improved performance and enables custom 3rd-party components to protect their APIs through this gateway. Data Governance: Now shipping Apache Atlas, a new Apache incubator project resulting from the Data Governance Initiative, featuring a scalable metadata service, integration with Hive metastore and SQL metrics, and a user interface for searching metadata and lineage. Introducing Hortonworks SmartSense™, Proactive Monitoring Service for All Hortonworks Subscription Customers: provides proactive insights and recommendations to customers about their cluster utilization and its health, quickly and easily captures log files and metrics for faster support case resolution, delivers ongoing recommendations, suggestions and analytics to proactively prevent configuration problems and optimizes long-range cluster resource utilization and capacity planning.
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