Hortonworks

Hortonworks was a United States software company focused on open-source technologies for storing, processing, governing, and analyzing large volumes of data. Based in Santa Clara, California, it was established in 2011 by a team associated with the Apache Hadoop ecosystem and received early venture funding from Yahoo! and Benchmark Capital. The company positioned itself as an enterprise-oriented steward and commercial supporter of Hadoop-related projects, offering subscriptions, support, services, and platform software rather than treating Hadoop as a standalone infrastructure component. Its central product was the Hortonworks Data Platform, commonly abbreviated HDP. First released in 2012, HDP combined Apache Hadoop with related projects used for distributed storage, batch processing, querying, coordination, and large-scale data analysis. Its technology stack included projects such as the Hadoop Distributed File System, MapReduce, Pig, Hive, HBase, ZooKeeper, and later Apache Spark. The platform was intended to help organizations consolidate data from varied sources and formats and build applications for enterprise analytics, data warehousing, machine learning, security, and operational decision-making. Hortonworks subsequently broadened its portfolio beyond the core Hadoop distribution. Hortonworks DataFlow, or HDF, focused on the movement and processing of data in motion and was built around open-source projects including Apache NiFi, Apache Storm, and Apache Kafka. This offering addressed streaming data, event processing, connected devices, and Internet of Things use cases. Hortonworks DataPlane Services provided a management and governance layer, drawing on projects such as Apache Atlas and Cloudbreak and allowing partner services to be integrated through a more modular architecture. The company promoted its platforms for use cases including connected vehicles and other Internet of Things applications, unified views of customers, patients, or risk exposure, advanced analytics, machine learning, real-time cybersecurity, and next-best-action systems. Its commercial strategy depended on the enterprise need for supported, tested, and integrated open-source infrastructure, while its technical identity remained closely tied to Apache projects and their surrounding contributor communities. Hortonworks competed in a market that included other Hadoop and data-platform vendors, most notably Cloudera. In October 2018, Hortonworks and Cloudera announced an all-stock combination described as a merger of equals. The transaction was completed in January 2019. Following the merger, Hortonworks products and Apache-based technologies were incorporated into Cloudera's portfolio, including the subsequent Cloudera Data Platform. Hortonworks therefore ceased to operate as an independent company and its standalone brand was gradually retired.

Hortonworks was formed in June 2011 as an independent software company focused on commercializing and supporting open-source big-data technologies. Its early financing included $23 million from Yahoo! and Benchmark Capital. The company initially operated from Sunnyvale, California, before becoming associated with the broader technology community in Silicon Valley and later being based in Santa Clara. Its founding workforce included contributors to Apache Hadoop, an open-source project designed to distribute data storage and computation across clusters of commodity hardware. The company's name referred to Horton the Elephant, a character associated with an elephant motif. The connection was intended to echo Hadoop's elephant symbol. Hortonworks' early corporate identity was therefore closely linked to the Hadoop project rather than to a proprietary database product. Its commercial proposition was to package open-source components into supported, interoperable enterprise software that organizations could deploy for large-scale data management and analytics. Hortonworks Data Platform was the company's principal early product. The first release appeared in June 2012. HDP assembled Apache Hadoop and related projects into a distribution for storing, processing, and analyzing data from multiple sources and in multiple formats. Components associated with the platform included the Hadoop Distributed File System, MapReduce, Pig, Hive, HBase, ZooKeeper, and later Apache Spark. By integrating these technologies, Hortonworks sought to reduce the complexity of adopting a rapidly changing open-source ecosystem while preserving compatibility with Apache projects. As enterprise demand expanded from batch-oriented Hadoop workloads toward streaming data, governance, and operational applications, Hortonworks developed additional product lines. Hortonworks DataFlow was based on technologies including Apache NiFi, Apache Storm, and Apache Kafka. It addressed the collection, movement, and processing of data in motion, including event-driven and Internet of Things scenarios. Hortonworks DataPlane Services added management, governance, and related services, drawing on Apache Atlas and Cloudbreak and using a pluggable architecture that could accommodate services from partners such as IBM. Hortonworks described its software as a foundation for enterprise data services and applications. Examples included connected-car and other IoT systems, single views of customers, patients, or risk, advanced analytics, machine learning, next-best-action applications, and real-time cybersecurity. The company consequently operated across a broad data-platform market rather than serving only traditional Hadoop administrators. Hortonworks was closely associated with Cloudera, another prominent vendor in the Hadoop and enterprise data-platform market. In October 2018, the companies announced an all-stock merger structured as a merger of equals. The transaction was completed in January 2019. After completion, Hortonworks products and Apache technologies were incorporated into Cloudera's combined portfolio, and the Hortonworks brand was phased out. The subsequent Cloudera Data Platform represented the continuation of much of the combined companies' enterprise data-platform strategy, while Hortonworks ceased to be an independent operating brand.

1. 2019Merger with Cloudera completed

   The combination was completed in January, after which Hortonworks' products were integrated into Cloudera's portfolio.

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2. 2018Merger agreement with Cloudera announced

   Hortonworks and Cloudera announced an all-stock merger of equals to combine their enterprise data-platform businesses.

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3. 2012First Hortonworks Data Platform release

   The company released HDP, an enterprise distribution built around Apache Hadoop and related projects for distributed storage, processing, and analysis.

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4. 2011Company founded

   Hortonworks was established in June as an independent open-source big-data software company, with early funding from Yahoo! and Benchmark Capital.

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Enterprise open-source big-data infrastructure and data-platform software

• Hortonworks Data PlatformEnterprise Hadoop and big-data platform2012

  Hortonworks Data Platform was the company's principal enterprise distribution of Apache Hadoop. It combined distributed storage and processing with related Apache projects used for querying, coordination, database-like access, and analytics. Components associated with the platform included the Hadoop Distributed File System, MapReduce, Pig, Hive, HBase, ZooKeeper, and Apache Spark. HDP was intended for organizations that needed a supported and integrated way to build data lakes, process large datasets, and develop analytics applications across heterogeneous data sources.

• Hortonworks DataFlowData-in-motion and streaming platform

  Hortonworks DataFlow focused on collecting, transporting, routing, and processing data in motion. It was built around open-source technologies including Apache NiFi, Apache Storm, and Apache Kafka. The product line extended Hortonworks beyond batch-oriented Hadoop workloads into event-driven applications, streaming analytics, connected-device deployments, and Internet of Things architectures where data must be handled continuously as it is generated.

• Hortonworks DataPlane ServicesData management, governance, and platform services

  Hortonworks DataPlane Services provided services intended to manage, govern, and extend data-platform environments. Its architecture drew on projects such as Apache Atlas and Cloudbreak and allowed additional capabilities from technology partners to be incorporated through a pluggable model. The offering addressed organizations that needed visibility into data, governance controls, and a common management layer across distributed data services.

• 2018Agree to an all-stock merger with ClouderaM&A

  Both companies operated in the enterprise Hadoop and data-platform market and announced a plan to combine their businesses as a merger of equals.

  What changed. Hortonworks and Cloudera agreed to an all-stock transaction.

  Aftermath. The transaction closed in January 2019. Hortonworks' Apache-based products were incorporated into Cloudera's portfolio, and the standalone Hortonworks brand was phased out.

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• 2019Hortonworks completes merger with Cloudera

  The merger was completed in January 2019, ending Hortonworks' existence as an independent company and moving its Apache-based products into Cloudera's portfolio.

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• 2018Hortonworks and Cloudera announce an all-stock merger of equals

  The two Hadoop and enterprise data-platform vendors announced a planned all-stock combination intended to unite their technologies and customer bases.

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1. Hortonworks