DataTorrent
Language Flags

Translation Disclaimer

HPCwire Enterprise Tech HPCwire Japan


February 15, 2012

HP Breathes New Life into Real-Time Platform


HP has been in the R&D kitchen with adoptee Vertica cooking up the freshest release of the Vertica analytics platform.

The new version, 5.1, comes with a number of ease of use and integration enhancements baked in and a snazzy counterargument against those who said it had an the out-of-date interface.

As Vertica stated today, the real-time big (like petabyte-big) platform is stepping out this week with a shiny new GUI that’s visually more in line with other competing GUI-style-conscious analytics products.

HP Vertica says this update provides the continued capability to analyze petabyte datasets in real time—a factor that is (arguably of course) the key point of differentiation of the platform. One can also argue that the real-time and large dataset-ready nature of Vertica were key components behind the HP purchase of the company last year, in addition to users’ capability to deploy across a number of environments (on-site, cloud, etc.).

Aside from these enhancements on the visual and core functionality front, there were a number of updates made to the overall integration and usability on the lower level. These enhancements include:

A new client framework with broad platform support and ODBC and JDBC drivers that have been completely rewritten and optimized for big data analytics use-cases. The new implementation greatly improves the drivers’ quality, standards compliance, compatibility with third-party tools, performance, and platform support.

Integration with the broader big data ecosystem, including with Hadoop distros based on Apache Commons Release 1.0.0, including Hortonworks Data Platform v1.  In addition, Vertica’s Informatica Plugin has been updated with several quality and performance improvements.

Integration with Autonomy IDOL 10, since the release is an important component of Autonomy IDOL 10, an information platform that delivers real-time contextual understanding of structured and unstructured data. IDOL 10 provides a single processing layer that enables organizations to extract meaning and act on all forms of information, including audio, video, social media, email, and web content, as well as structured data such as customer transaction logs and machine-based sensor data.

Colin Mahony, VP in the business development camp at the Mass.-based Vertica says the new console has a “cool” look and feel now. However, aside from the mere aesthetics of the update, “the process of creating a new Vertica cluster, adding nodes, dropping databases and keeping track of system performance is now as simple as dragging and dropping icons and watching a system health dashboard.”

Speaking of Colin, this is a pretty decent video that describes Vertica—not just from a technology perspective, but in terms of how it fits in with HP’s existing set of products.

Related Stories

HP Leverages Acquisitions, Firms Up Big Data Approach

Is Boston the Next Bastion for Big Data?

Partnership Targets BI Scalability

Share Options


Subscribe

» Subscribe to our weekly e-newsletter


Discussion

There are 0 discussion items posted.

 

Most Read Features

Most Read News

Most Read This Just In

ISC'14

Sponsored Whitepapers

Planning Your Dashboard Project

02/01/2014 | iDashboards

Achieve your dashboard initiative goals by paving a path for success. A strategic plan helps you focus on the right key performance indicators and ensures your dashboards are effective. Learn how your organization can excel by planning out your dashboard project with our proven step-by-step process. This informational whitepaper will outline the benefits of well-thought dashboards, simplify the dashboard planning process, help avoid implementation challenges, and assist in a establishing a post deployment strategy.

Download this Whitepaper...

Slicing the Big Data Analytics Stack

11/26/2013 | HP, Mellanox, Revolution Analytics, SAS, Teradata

This special report provides an in-depth view into a series of technical tools and capabilities that are powering the next generation of big data analytics. Used properly, these tools provide increased insight, the possibility for new discoveries, and the ability to make quantitative decisions based on actual operational intelligence.

Download this Whitepaper...

View the White Paper Library

Sponsored Multimedia

Webinar: Powering Research with Knowledge Discovery & Data Mining (KDD)

Watch this webinar and learn how to develop “future-proof” advanced computing/storage technology solutions to easily manage large, shared compute resources and very large volumes of data. Focus on the research and the application results, not system and data management.

View Multimedia

Video: Using Eureqa to Uncover Mathematical Patterns Hidden in Your Data

Eureqa is like having an army of scientists working to unravel the fundamental equations hidden deep within your data. Eureqa’s algorithms identify what’s important and what’s not, enabling you to model, predict, and optimize what you care about like never before. Watch the video and learn how Eureqa can help you discover the hidden equations in your data.

View Multimedia

More Multimedia

Leverage Big Data

Job Bank

Datanami Conferences Ad

Featured Events

May 5-11, 2014
Big Data Week Atlanta
Atlanta, GA
United States

May 29-30, 2014
StampedeCon
St. Louis, MO
United States

June 10-12, 2014
Big Data Expo
New York, NY
United States

June 18-18, 2014
Women in Advanced Computing Summit (WiAC ’14)
Philadelphia, PA
United States

June 22-26, 2014
ISC'14
Leipzig
Germany

» View/Search Events

» Post an Event