Pivotal has confirmed it will continue its commitment to advancing open source by contributing its technology to Apache Software Foundation (ASF).
Pivotal’s contribution of the HAWQ advanced SQL on Hadoop analytics and MADlib machine learning technologies will cement Hadoop’s place as the as the cornerstone of advanced data science, business intelligence, and data warehousing, according to Pivotal.
“We strongly believe our HAWQ and MADlib technologies, as Apache Software Foundation incubation projects, bring unprecedented SQL processing capabilities and know-how to Hadoop developers and users,” said Gavin Sherry, Vice President and CTO, Data at Pivotal. “We’re excited and humbled at the prospect of collaborating closely, in the open, with many of the leading minds in data processing systems today.”
Along with HAWQ, Pivotal and the MADlib community are contributing the MADlib machine-learning library for incubation at ASF. Apache MADlib (incubating) is a powerful collection of scale out, parallel machine learning algorithms seamlessly integrated with HAWQ.
An open source project for four years, Pivotal and the MADlib community contributed MADlib to ASF to simplify governance and improve access by developers and users for further integration and advancement with Apache HAWQ and beyond. Today, MADlib supports HAWQ, Pivotal Greenplum and PostgreSQL, all provided in a licensed and supported enterprise subscription offering from Pivotal as part of Pivotal Big Data Suite.
Pivotal will continue to distribute and support commercial distributions of Apache HAWQ (incubating) and Apache MADlib (incubating) - via Pivotal Big Data Suite. Customers with enterprise support agreements will also be entitled to request priority technical assistance as well as receive patches and hotfixes.
“At Altiscale, we firmly believe that Big Data will come to be used throughout the enterprise,” said Raymie Stata, CEO at Altiscale. “The future users of Hadoop-based data will not be limited to data scientists or data engineers, but will also include the data-savvy business professional who is using analytics to execute on front-line business decisions. The critical link between Hadoop and broader business intelligence is the MPP SQL engine. That’s why we are excited to be a cloud provider of HAWQ, which is one of the most mature, robust MPP SQL solutions available.”
For more information, visit www.pivotal.io.
Pivotal has confirmed it will continue its commitment to advancing open source by contributing its technology to Apache Software Foundation (ASF).
Pivotal’s contribution of the HAWQ advanced SQL on Hadoop analytics and MADlib machine learning technologies will cement Hadoop’s place as the as the cornerstone of advanced data science, business intelligence, and data warehousing, according to Pivotal.
“We strongly believe our HAWQ and MADlib technologies, as Apache Software Foundation incubation projects, bring unprecedented SQL processing capabilities and know-how to Hadoop developers and users,” said Gavin Sherry, Vice President and CTO, Data at Pivotal. “We’re excited and humbled at the prospect of collaborating closely, in the open, with many of the leading minds in data processing systems today.”
Along with HAWQ, Pivotal and the MADlib community are contributing the MADlib machine-learning library for incubation at ASF. Apache MADlib (incubating) is a powerful collection of scale out, parallel machine learning algorithms seamlessly integrated with HAWQ.
An open source project for four years, Pivotal and the MADlib community contributed MADlib to ASF to simplify governance and improve access by developers and users for further integration and advancement with Apache HAWQ and beyond. Today, MADlib supports HAWQ, Pivotal Greenplum and PostgreSQL, all provided in a licensed and supported enterprise subscription offering from Pivotal as part of Pivotal Big Data Suite.
Pivotal will continue to distribute and support commercial distributions of Apache HAWQ (incubating) and Apache MADlib (incubating) - via Pivotal Big Data Suite. Customers with enterprise support agreements will also be entitled to request priority technical assistance as well as receive patches and hotfixes.
“At Altiscale, we firmly believe that Big Data will come to be used throughout the enterprise,” said Raymie Stata, CEO at Altiscale. “The future users of Hadoop-based data will not be limited to data scientists or data engineers, but will also include the data-savvy business professional who is using analytics to execute on front-line business decisions. The critical link between Hadoop and broader business intelligence is the MPP SQL engine. That’s why we are excited to be a cloud provider of HAWQ, which is one of the most mature, robust MPP SQL solutions available.”
For more information, visit www.pivotal.io.