Hortonworks, Inc. and Pivotal today announced a significant expansion of their strategic relationship centered on the Hortonworks Data Platform and Pivotal HDB. This strategic relationship brings together Hortonworks’ expertise and support for data management and processing with Pivotal’s top analytics engine for Apache Hadoop.
In the world of big data and analytics, query speed makes a huge difference.
But, speed isn’t the whole picture. The real experts in the industry are now rightly expanding their focus to consider the “quality and completeness” of SQL on Hadoop implementations.
“Quality” means looking at speed along with overall query effectiveness, which has a major impact on a company’s ability to maximize their benefits from big data analytics. And that can directly impact profit, scale, complexity, developer productivity, and operational costs. Poor technical decisions in this area ultimately waste time and money.
Data Platforms: The ODP, HAWQ on Hortonworks, and an Update to Pivotal Big Data Suite
On the topic of data platforms, industry announcements flew out of Hadoop Summit 2015 in Europe. To date, the Open Data Platform (ODP) members include GE, Hortonworks, IBM, Infosys, International TELCO, Pivotal, SAS, Altiscale, Capgemini, CenturyLink, EMC, PLDT, Splunk, Teradata, Verizon, VMware, and WANdisco.
Pivotal HAWQ is now Hortonworks Data Platform certified. Pivotal HAWQ now provides deeper integration with the Apache Hadoop ecosystem and simplifies management with new support for Apache Ambari.
Today’s announcement continues on Pivotal’s previously announced unified approach to meeting enterprise data management and analytics needs through a strategic and commercial alliance with Hortonworks. This marks the first time that the features and capabilities of Pivotal HAWQ have been made available outside of Pivotal. The availability aligns with a common Open Data Platform (ODP) Core that allows users to leverage the best-of-breed technology across providers.