Hewlett Packard Enterprise announced Tuesday the latest release of its Vertica analytics software, as well as new machine learning capabilities for Haven OnDemand. Vertica focuses on the analytics of structured information, such as data stored in rows and fields. As the latest iteration, Vertica 8, codenamed "Frontloader," introduces a unified architecture and new in-database analytics capabilities. As far and fast as cloud computing is embedding itself into the enterprise, there remain many cloud-resistant applications and services. HPE says Vertica 8 is designed to help businesses extract intelligence from data residing in multiple silos across the datacenter, including on-premise, private, and public clouds, and in Hadoop data lakes.

Vertica release improves performance, adds Hadoop and Spark support. Hewlett Packard Enterprise announced August 30 at its HPE Big Data Conference in Boston that it's making its library of machine learning services easier for developers to build into smart, "cognitive" applications through Haven OnDemand Combinations. In a second announcement at the event, HPE unveiled Vertica 8.0, the next release of the company's high-scale analytical database. Haven OnDemand is in the white-hot category of machine learning services. It's a domain that has seen dozens of acquisitions in recent years, led by leading tech companies including Amazon, Google, IBM, Intel, Microsoft and Salesforce. How will HPE differentiate Haven OnDemand as the big public cloud companies deepen their portfolios?

Hewlett Packard Enterprise Co. (HPE) has updated its Vertica analytics suite while introducing new machine learning capabilities to Haven OnDemand. Vertica is software that analyzes structured data, for example information that's stored in rows and fields. But with the new update, Vertica 8, codenamed "Frontloader", HPE has introduced a unified architecture as well as in-database analytics capabilities. According to HPE, Vertica 8 has been designed to help customers extract intelligence from data that resides in multiple silos throughout the data center, be it on-premises, in private and public clouds, or in Hadoop data lakes. Meanwhile, Vertica's new in-database machine learning algorithms enable users to create and deploy R-based machine learning models directly inside the software.

Hewlett Packard Enterprise has made no secret of its desire to push further into big data, and on Tuesday it announced two key new offerings: HPE Haven OnDemand Combinations, an extension of the "machine learning as a service" platform it released earlier this year, and Vertica 8, a major new update to its analytics software. Launched in March, HPE's Haven OnDemand cloud platform offers machine learning APIs (application programming interfaces) and services designed to help developers and businesses build data-rich applications. The platform now has 70 artificial intelligence APIs and more than 18,000 users, and HPE is extending it to make development easier. Haven OnDemand Combinations, a cloud service built on top of OnDemand, provides a catalogue of pre-built and customizable machine learning APIs and a drag-and-drop interface for mixing and matching them. Developers can string together APIs and copy and paste the code directly into their development projects, HPE said.

Hewlett Packard Enterprise has made no secret of its desire to push further into big data, and on Tuesday it announced two key new offerings: HPE Haven OnDemand Combinations, an extension of the "machine learning as a service" platform it released earlier this year, and Vertica 8, a major new update to its analytics software. Launched in March, HPE's Haven OnDemand cloud platform offers machine learning APIs (application programming interfaces) and services designed to help developers and businesses build data-rich applications. The platform now has 70 artificial intelligence APIs and more than 18,000 users, and HPE is extending it to make development easier. Haven OnDemand Combinations, a cloud service built on top of OnDemand, provides a catalog of pre-built and customizable machine learning APIs and a drag-and-drop interface for mixing and matching them. Developers can string together APIs and copy and paste the code directly into their development projects, HPE said.

PALO ALTO, CA--(Marketwired - Aug 30, 2016) - Hewlett Packard Enterprise (NYSE: HPE) today announced the availability of HPE Haven OnDemand (HoD) Combinations, a new cloud-based offering built on the HPE Haven OnDemand platform that enables developers to apply the power of machine learning to build next generation applications. The new offering provides a pre-built catalogue of cognitive services and an intuitive drag and drop interface. Developers can chain together multiple machine learning APIs into combinations and copy and paste the code directly into their development projects, to quickly and easily create breakthrough mobile and enterprise applications. "HPE HoD Combinations represents the next step in our vision to democratize machine learning for mainstream developers and help them build the next generation of cognitive applications," said Fernando Lucini (@fernandolucini), Chief Technology Officer, Big Data Platform, HPE Software. "Through HPE HoD Combinations, enterprise developers now have access to the building blocks required to take their application development to the next level through an easy and intuitive solution."

Hewlett Packard Enterprise has made no secret of its desire to push further into big data, and on Tuesday it announced two key new offerings: HPE Haven OnDemand Combinations, an extension of the "machine learning as a service" platform it released earlier this year, and Vertica 8, a major new update to its analytics software. Launched in March, HPE's Haven OnDemand cloud platform offers machine learning APIs (application programming interfaces) and services designed to help developers and businesses build data-rich applications. The platform now has 70 artificial intelligence APIs and more than 18,000 users, and HPE is extending it to make development easier. Haven OnDemand Combinations, a cloud service built on top of OnDemand, provides a catalogue of pre-built and customizable machine learning APIs and a drag-and-drop interface for mixing and matching them. Developers can string together APIs and copy and paste the code directly into their development projects, HPE said.