SAS, Teradata Team on HDP to Deliver Integrated Analytics
In a move to help organizations consolidate their Big Data environments, analytics giant SAS and partner Teradata have updated their joint offering to support Hortonworks’ fast-growing Hadoop distribution.
Dubbed Analytics Advantage Program with Hadoop, the platform marries Teradata’s SAS appliance and Unified Data Architecture, or UDA, with the latest release of the Hortonworks Data Distribution. Combined, these technologies deliver a tightly integrated set of capabilities for in-database processing, analytic model building and deployment across both structured and unstructured data.
Shaun Connolly, the vice president of corporate strategy at Hortonworks, noted that “the combined best-of-breed technologies and resources of this partnership center around enabling the transformational power of Hadoop. We are committed to working with SAS and Teradata to deliver enterprise-ready, stable distribution of the open-source platform for big data processing and management.”
Hortonworks is doubling down on the channel as part of a broad push to make gains against Cloudera, the market leader in Hadoop. Last month, the startup announced that HDP will support WANdisco’s Non-Stop solution, at tool that utilizes active-active replication to ensure the high availability of large-scale HDFS clusters. Two weeks prior, SAP added support for Hortonworks’ distribution across its broad analytics portfolio in an effort to reposition itself at the center of the Big Data ecosystem. Under the agreement, the business intelligence giant will also make the platform available to the hundreds of thousands of enterprises that use its software.
Not to be outdone, Cloudera recently revealed plans to bake Accumulo into its Hadoop lineup. Originally developed for the NSA, Accumulo is a uniquely secure key-value store that lets users assign access privileges at the cell level. The open source platform is commercialized by Sqrrl, which raised $5.2 million in Series A funding earlier this week.
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