STRATA CONFERENCE 2012, Santa Clara, CA — March 1, 2012 — MarkLogic Corporation, the company powering mission-critical Big Data Applications around the world, today announced it has joined the Hortonworks Technology Partner Program. Hortonworks is the leading commercial vendor promoting the development and support of Apache Hadoop. The partnership will help businesses and public sector agencies take the next step in the evolution of Big Data: building sophisticated Big Data Applications. By leveraging MarkLogic and Hortonworks, organizations will be able to seamlessly combine the power of MapReduce with MarkLogic’s real-time, interactive analysis and indexing on a single, unified platform.
“The partnership between Hortonworks and MarkLogic will enable customers to build enterprise-class Big Data Applications with fully supported Apache Hadoop,” said Eric Baldeschwieler, CTO and co-founder, Hortonworks. “This will give customers the ability to leverage MarkLogic’s real-time access to data and Hortonworks’ Hadoop expertise, making it possible to run real-time operational applications that can be updated with batch processes, without losing access to the data or data integrity.”
Through the partnership, organizations can better leverage their Apache Hadoop stack to build interactive, operational applications on all of their data without having to sacrifice ease of use, development agility, or enterprise reliability. MarkLogic will certify its Connector for Hadoop against the Hortonworks Data Platform, a platform which makes Apache Hadoop more robust and easier to install, manage, and use, and provides an open and stable foundation for enterprises to build and deploy Big Data solutions. The two companies will also develop reference architectures for MarkLogic-Hadoop solutions and further align their product roadmaps. With MarkLogic and Hortonworks, organizations will have a fully supported Big Data Application platform that enables real-time data access and full-text search together with batch processing and massive archival storage.
“Hortonworks is doing a good job of building partnerships with leading data management vendors to expand the Apache Hadoop ecosystems, so it’s no surprise that the company is partnering with MarkLogic,” said Matt Aslett, research manager, data management and analytics, 451 Research. “The partnership is compelling in that it combines MarkLogic’s focus on operational applications that take advantage of un- and semi-structured data with Hortonwork’s direct experience of managing mission-critical Hadoop clusters.”
“Through the MarkLogic and Hortonworks partnership, organizations will have a one-stop-shop for real-time Big Data Applications and batch processing,” said Ron Avnur, CTO, MarkLogic. “Last year, we introduced a Hadoop connector that made it easier for our customers to leverage Hadoop in MarkLogic-powered applications. That was the first step of a much larger vision. Today, we continue on that journey by partnering with Hortonworks, a company with proven experience in deploying and supporting Hadoop in large, mission-critical applications.”
For more information about MarkLogic, please visit the MarkLogic website, or for more information on how MarkLogic works with Hadoop, please visit the MarkLogic Hadoop webpage. To learn more about Hortonworks, please visit the Hortonworks website.
Hortonworks is the leading commercial vendor of Apache Hadoop, the preeminent open source platform for storing, managing, and analyzing large volumes of data. The Hortonworks Data Platform provides an open and stable foundation for enterprises and a growing ecosystem to build and deploy big data solutions. Together with the Apache community, Hortonworks is making Hadoop more robust and easier to install, manage, and use. Hortonworks provides unmatched technical support, training and certification programs for enterprises, systems integrators, and technology vendors. For more information, visit www.hortonworks.com.
MarkLogic helps customers create value from complex data faster. Our platform ingests data from any source, creating and refining metadata to support powerful models. Customers use these models for deep search and query, building enterprise applications and bringing unique insights to analytics and machine learning.