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- Building on its architecture for Business Data Lakes, Pivotal today announced the availability of Pivotal HD 2.0, a commercially supported enterprise distribution of the Apache Hadoop stack, now rebased and hardened on Apache Hadoop 2.2.
- Pivotal also announced the general availability of Pivotal GemFire XD, an in-memory database seamlessly integrated with Pivotal HD 2.0 that brings high concurrency, real-time transactions and in-memory analytical processing to power next generation big data applications.
- Pivotal HD 2.0 expands analytic use cases with integration and support of GraphLab, MADlib and popular languages and formats such as R, Python, Java and Parquet to create a powerful and easy to use analytical platform for data scientists and analysts in Hadoop.
- Pivotal is hosting a webinar on March 27, 2014 that expands on today’s news. Registration for Pivotal's Next Generation Business Data Lake webinar can be found at http://bit.ly/1i8on7g.
SAN FRANCISCO, March 17th, 2014 – Pivotal, the software company at the intersection of big data, PaaS and agile development, today announced the release of Pivotal™ HD 2.0 and the general availability of Pivotal GemFire XD®. The combination of Pivotal HD 2.0, the HAWQ™ query engine and Gemfire XD constitute the foundation for the Business Data Lake architecture, the big data application framework for enterprises, data scientists, analysts and developers that provides a more flexible, faster way to develop data savvy software than what they can do with Hadoop alone.
Breaking New Ground In Real-Time for Apps, Data and Analytics
Behind every leading enterprise there are real-time analytics that drive real-time advantages and intelligence. Available today, Pivotal GemFire XD bridges GemFire’s proven in-memory intelligence and integrates it with Pivotal HD 2.0 and HAWQ. This enables businesses to make prescriptive decisions in real-time, such as stock trading, fraud detection, intelligence for energy companies, routing for the telecom industries, or for scaling reservations for the world’s largest annual movement of humans on the planet.
Also new within Pivotal HD is the world’s first enterprise integration of GraphLab, an advanced set of algorithms for graph analytics that enables data scientists and analysts to leverage popular algorithms for insight, i.e. page rank, collaborative filtering and computer vision.
Pivotal released Pivotal HD with HAWQ last year to radically increase the speed of analysis for Hadoop queries; it was designed from the ground up as a massively parallel SQL processing engine optimized specifically for analytics.
With Pivotal HD 2.0, new improvements to HAWQ include:
- MADlib Machine Learning Library - Unlock deeper predictive insights faster, better with over 50 in-database analytic algorithms;
- Language Translation - Leverage the full power of R, Python and Java to enable business logic and procedures otherwise cumbersome with SQL;
- Parquet Support - Beta support for read and write Parquet files, opening the power of HAWQ’s SQL query engine on this popular open file type
Nik Rouda, Senior Analyst, ESG
'The combined release of Pivotal HD 2.0 and GemFireXD, introducing real-time SQL queries, makes it easier for developers to get live insights on streaming data sources without having to learn new tools. Not least, the range of new programming language support gives an even richer portfolio of advanced analytics capabilities. Pivotal is well-positioned to change the nature of how big data gets done in the enterprise.”
Josh Klahr, Vice President, Product Management, Pivotal
“When it comes to Hadoop, other approaches in the market have left customers with a mishmash of un-integrated products and processes. Pivotal HD 2.0 is the first platform to fully integrate proven enterprise in-memory technology, Pivotal GemFire XD, with advanced services on Hadoop 2.2 that provide native support for a comprehensive data science toolset. Data driven businesses now have the capabilities they need to gain a massive head start toward developing analytics and applications for more intelligent and innovative products and services.”
- Read the Pivotal Blog on How Enterprises Can Get More Out of Hadoop With a Data Lake http://ow.ly/uBnMf
- Pivotal Big Data Product Page - http://bit.ly/1i8p54o
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