Machine learning platform provider
Cloudera and data management platforms provider Hortonworks have have merged. Cloudera, which has headquarters in Palo Alto, California, United States, was established in 2008. The company bills itself as making “what is impossible today, possible tomorrow” and has a presence in 24 countries. It offers a range of services that “transform complex data into clear and actionable insights”. Its merger with Hortonworks creates what the companies are calling “the world’s leading next generation data platform provider”. The combined value of the two organizations in around $5.2 billion.
Hortonworks, which has headquarters in Santa Clara, California, United States, was established in 2011. The company provides enterprise-ready open data platforms and modern data applications that “deliver actionable intelligence from all data”. The company has a strong focus on Open Source and has organizations like Apache Hadoop, NiFi and Spark as partners. The two companies will “combine in an all-stock merger of equals”. The agreement sees Cloudera stockholders own around 60% the resulting organization with Hortonworks stockholders owning approximately 40%.
“Our businesses are highly complementary and strategic,” explained Cloudera’s CEO Tom Reilly. “By bringing together Hortonworks’ investments in end-to-end data management with Cloudera’s investments in data warehousing and machine learning, we will deliver the industry’s first enterprise data cloud from the Edge to AI. This vision will enable our companies to advance our shared commitment to customer success in their pursuit of digital transformation.”
“This compelling merger will create value for our respective stockholders and allow customers, partners, employees and the open source community to benefit from the enhanced offerings, larger scale and improved cost competitiveness inherent in this combination,” added Hortonworks’ CEO Rob Bearden. “Together, we are well positioned to continue growing and competing in the streaming and IoT, data management, data warehousing, machine learning/AI and hybrid cloud markets. Importantly, we will be able to offer a broader set of offerings that will enable our customers to capitalize on the value of their data.”
Do you know of any other companies involved in mergers? Let us know the details. Add your comments below.
