HP has released HP Vertica for SQL on Hadoop, an analytics platform that enables customers to access and explore data residing in Hortonworks, MapR, Cloudera, Apache based data lakes, or any combination of these leading Hadoop distributions.
According to HP, the new offering that is delivered via a node-based pricing model combines the SQL-based Enterprise-Grade Analytics with Hadoop to explore large sets of unstrcutured data. HP also said that the engine simplifies data exploration, eases the task of storing large volumes of unstructured data in the data lake, and exploits value in data that's stored on the Hadoop Distributed File System (HDFS).
HP added that organizations are attracted to Hadoop to cost-effectively store large volumes of unstructured data in what is referred to as a “data lake.” HP added that by combining the proven Vertica SQL engine with Hadoop, organizations can now harness the value of Hadoop and the power of the HP Vertica Analytics Platform.
Shilpa Lawande, GM Platform, HP Software Big Data Business Unit
With HP Vertica for SQL on Hadoop, we’re combining the best of both worlds – the industry’s enterprise-proven HP Vertica Analytics Platform with the broadly accessible Hadoop ecosystem. Now, organizations can store data in HP Vertica or any Hadoop distribution, explore data in place using HP Vertica for SQL for Hadoop, and serve the highest-performance analytic needs for mixed workloads with HP Vertica Enterprise.
