HP Doubles Down on Big Data Opportunity with New Products, Services, and Developer Programs
August 11, 2015
Share this

HP unveiled a series of new products, services, and programs designed to help organizations leverage data and analytics to build new products and experiences, run more efficiently, and differentiate against the competition.

At the HP Big Data Conference in Boston, the company announced:

- A new release of HP Vertica, which will feature data streaming and advanced log file text search to power high-speed analytics on Internet of Things (IoT) data.

- Extensive support for and contributions to open source technologies, including optimized Hadoop performance, integration with the Apache Kafka distributed messaging system, and advancements in distributed predictive analytics.

- The HP Haven Startup Accelerator program, which provides early-stage companies with fast, affordable access to both HP Big Data and Application Delivery Management software and services.

The announcements further accelerate HP’s differentiated big data strategy – around enabling organizations to harness data of all types, including emerging forms such Internet of Things device data, leveraging important new open source projects, and providing developers and early stage companies with the tools they need to become successful, data driven organizations.

“Developers are the new heroes of the Idea Economy,” said Colin Mahony, SVP and GM, HP Big Data Software. “HP is uniquely positioned to help businesses and developers thrive in this new world. Through our Haven and Haven OnDemand platforms, we areempowering these heroes to transform their business through data, by allowing them to harness the value of all forms of information, rapidly connect and apply open source, and quickly access the tools they need to build winning businesses.”

New Release of HP Vertica Delivers Powerful New Streaming and High-Speed Analytics Capabilities

HP today announced a new version of HP Vertica, the industry’s fastest SQL database, code named “Excavator.” Capabilities include:

- Data streaming analytics – Excavator will offer native support for the Apache Kafka open source distributed messaging system to enable organizations to quickly ingest and analyze high-speed streaming data, including Internet of Things, in near real-time. This capability delivers actionable insight for a wide range of use cases, including manufacturing process control, supply chain optimization, healthcare monitoring, financial risk management, and fraud detection.

- Advanced Machine Log Text Search – Excavator will enable organizations to collect and index large log file data sets generated by systems and business applications, helping IT organizations to quickly identify and predict application failures and cyber-attacks, and investigate authorized and unauthorized access.

HP Embraces Big Data Open Source with Breakthrough Advances

HP also released a series of innovations that enable organizations to combine the innovation of open source with the enterprise-scale, reliability, and security of HP’s Big Data platform. These include:

- HP Vertica for SQL on Hadoop native file support – the new version of Vertica brings significant increase in performance on popular Hadoop formats like ORC and Parquet. Specifically, HP worked collaboratively with Hortonworks to develop a new high-performance access layer that enables SQL queries to run directly on ORC files, resulting in a 5x increase in execution times.

- HP Vertica Flex Zone Table Library – HP has open sourced its innovative Flex Table “schema on-need” technology to the global developer community. With this move, organizations will be able to fully harness virtually any form of semi-structured data to meet their unique needs.

- Native Integration with Apache Spark – HP announced its future commitment to integrate Vertica with Apache Spark. This will enable accelerated data transfer between Vertica and Spark, allowing organizations to take full advantage of their Spark-based deployments. This future capability will enable the developer community to build their models in Spark and run them in Vertica for high-speed and sophisticated analytics.

"Together, Hortonworks and HP have jointly teamed to take big data analytical performance to the next level by combining the comprehensive, high-performance analytics of HP Vertica for SQL on Hadoop with the Hortonworks Data Platform,” said Matt Morgan, VP of Product and Alliance Marketing at Hortonworks. “We've seen firsthand how organizations are looking for this class of modern architecture to power the next-generation of real-time analytics applications. This is proof of our commitment with HP to address the business and technology needs of our customers and the broader big data marketplace.”

HP Haven Startup Accelerator Brings Enterprise-Class Big Data to Early-Stage Companies

HP also unveiled The HP Haven Startup Accelerator, a new program designed to support and expand HP’s ecosystem of developers and innovators by making HP Big Data and Application Delivery Management software products accessible to early-stage companies. The program removes traditional barriers for organizations looking to leverage analytics and data to build powerful, differentiated applications. Qualified participants will benefit from the following program components:

- Free usage of the community versions of HP IDOL and HP Vertica with expanded capacity.

- Premium version of HP IDOL and HP Vertica with attractive pricing

- HP Application Delivery Management tools including HP Agile Manager, HP LeanFT, and HP LoadRunner.

HP Haven Apps Framework Accelerates Solution Development

HP also announced an innovative framework of technology and proven best practices to accelerate the development of next-generation analytical applications. This framework extends the HP Haven Big Data Platform with quick-start visualization, syndicated data feeds, open on-premise and cloud-based APIs. This enables HP Professional Services and HP partners to quickly deliver a range of solutions, such as voice of customer, smart cities, and fraud detection.

HP’s Hardware Platforms Optimized for Big Data

HP’s hardware platforms for big data include traditional HP ProLiant DL380 clusters, purpose-built Apollo 4510, 4530 and 4200 compute and storage servers, and HP’s innovative asymmetric Big Data Reference Architecture. These systems enable customers to optimize their big data workloads, delivering the power of Haven to their business. This week at the HP Big Data Conference, HP will demonstrate the power of Vertica SQL on Hadoop running on HP’s unique, asymmetric Big Data Reference Architecture, purpose-built from HP Moonshot and Apollo servers.

This week’s HP Big Data Conference will feature a wide range of customer speakers, including representatives from Citi, Etsy, Facebook, Ford Motor Company, GlaxoSmithKline, Kiva, New York Genome Center, Playtika, and Snagajob who will share their story on how they use HP software to become data driven organizations.

Planned availability for new HP Haven Big Data offerings and services is set for fall of 2015.

Share this

The Latest

November 16, 2018

Everyone talks about automating the software development lifecycle (SDLC) but the first question should be: What should you automate? With this question in mind, DEVOPSdigest asked experts from across the IT industry for their opinions on what steps in the SDLC should be automated ...

November 15, 2018

We all know artificial intelligence (AI) is a hot topic — but beyond the buzzword, have you ever wondered how IT departments are actually adopting AI technologies to improve on their operations? ...

November 14, 2018

How can IT teams focus on the critical events that can impact their business instead of wading through false positives? The emerging discipline of AIOps is a much-needed panacea for detecting patterns, identifying anomalies, and making sense of alerts across hybrid infrastructure ...

November 09, 2018

In a recent webinar AIOps and IT Analytics at the Crossroads, I was asked several times about the borderline between AIOps and monitoring tools — most particularly application performance monitoring (APM) capabilities. The general direction of the questions was — how are they different? Do you need AIOps if you have APM already? Why should I invest in both? ...

November 08, 2018

There's no place like the web and smartphones for the holidays. With the biggest shopping season of the year quickly approaching, retailers are gearing up to experience the most traffic their online platforms (web, mobile, IoT) have ever seen. To avoid missing out on millions this holiday season, below are the top five ways developers can keep their apps and websites up and running without a hitch ...

November 07, 2018

Usage data is multifaceted, with many diverse benefits. Harvesting usage-driven insights effectively requires both good foundational technology and a nimbleness of mind to unify insights across IT's many silos of domains and disciplines. Because of this, leveraging usage-driven insights can in itself become a catalyst for helping IT as a whole transform toward improved efficiencies and enhanced levels of business alignment ...

November 06, 2018

The requirements to maintain the complete availability and superior performance of your mission-critical workloads is a dynamic process that has never been more challenging. Here are five ways IT teams can measure and guarantee performance-based SLAs in order to increase the value of the infrastructure to the business, and ensure optimal digital performance levels ...

November 05, 2018

APMdigest asked experts from across the IT industry for their opinions on what IT departments should be monitoring to ensure digital performance. Part 5, the final installment, offers some recommendations you may not have thought about ...

November 02, 2018

APMdigest asked experts from across the IT industry for their opinions on what IT departments should be monitoring to ensure digital performance. Part 4 covers the infrastructure, including the cloud and the network ...

November 01, 2018

APMdigest asked experts from across the IT industry for their opinions on what IT departments should be monitoring to ensure digital performance. Part 3 covers the development side ...