Hortonworks officials said the open-source HDP 1.3 for Windows is the only Apache Hadoop-based distribution certified to run on Windows Server 2008 R2 and Windows Server 2012. It enables Microsoft customers to build and deploy Hadoop-based analytic applications.
HDP 1.3 for Windows is generally available now for download from Hortonworks.
Delivering on the commitment to provide application portability across Windows, Linux and Windows Azure environments, HDP 1.3 enables the same data, scripts and jobs to run across both Windows and Linux, the company said.
“Microsoft is committed to bringing big data to a billion users,” said Herain Oberoi, director of SQL Server product management at Microsoft, in a statement. “To achieve this, we are working closely with Hortonworks to make Hadoop accessible to the broadest possible group of mass market and enterprise customers. Hortonworks Data Platform 1.3 helps us bring Hadoop to Windows so that Microsoft customers can get the best of Hadoop from Hortonworks on premises and from Microsoft in the cloud via HDInsight. In addition, customers can take advantage of integration with Microsoft’s business intelligence tools such as Power BI for Office 365, SQL Server and Excel.”
Now organizations can have complete processing choice for their big data applications and port Hadoop applications from one operating system platform to another as needs and requirements change. New functionality in HDP 1.3 for Windows includes HBase 0.94.6.1, Flume 1.3.1, ZooKeeper 3.4.5 and Mahout 0.7.0. These new capabilities enable customers to exploit new types of data to build new business applications as part of their modern data architecture.
Hortonworks Data Platform 1.3 for Windows enables organizations to run Hadoop-based applications natively on Windows and Linux. It provides a common user experience and interoperability across operating systems. HDP for Windows offers the millions of customers running their businesses on Microsoft technologies a Hadoop-based solution that integrates with Microsoft’s familiar business analytics tools and is built for the enterprise and Windows.
“Hortonworks continues to enable Windows users with powerful enterprise-grade Apache Hadoop,” said Bob Page, vice president of products at Hortonworks, in a statement. “This new release enables organizations to build new types of applications that were previously not possible and to exploit the massive volumes and variety of data flowing into their data centers.”
Hortonworks Data Platform 1.3 for Windows is now available for download here.
In October 2011, Hortonworks initially announced a strategic relationship with Microsoft to extend the delivery of Apache Hadoop-based distributions for Windows Server and Windows Azure. At the time, Hortonworks said it would add to Microsoft’s data platform with SQL Server 2012 and investments for managing big data.
“Microsoft is committed to helping customers manage any data, any size, anywhere with the SQL Server data platform, Windows Server and Windows Azure,” said Ted Kummert, corporate vice president at Microsoft, in a statement, at the time. “Hortonworks has a rich history in leading the design and development of Apache Hadoop. Their experience and expertise in this space helps us accelerate our delivery of our Hadoop-based distribution on Windows Server and Windows Azure while maintaining compatibility and interoperability with the broader ecosystem.”
Hortonworks said it would provide Microsoft with Hadoop support and training that will help accelerate the delivery of Microsoft’s Hadoop-based distribution for Windows Server and Windows Azure, including input around feature roadmap and designs, feedback on code reviews and regression and acceptance testing.
“Hortonworks is committed to growing the Apache Hadoop ecosystem, ensuring that the open-source technology is a compelling platform for storing, processing, managing and analyzing big data,” said Eric Baldeschwieler, co-founder and former CTO at Hortonworks, in a statement at the time of the announcement. Baldeschwieler has since left the company. “By helping bridge the Apache Hadoop technology and knowledge gaps that exist with enterprises, system integrators and technology vendors, we can accelerate production deployments of Hadoop as a powerful solution to big data challenges.”