Press Release

Pivotal Big Data Suite Accelerates Digital Transformation with Upgraded Apache Hadoop Distribution, Next Generation Analytical Performance

Major component upgrades bring up to 100x performance gain to Pivotal Greenplum; New Open Data Platform core-based Apache Hadoop distribution improves stability, management, security, monitoring and data processing for modern enterprise needs


Helping enterprise customers create new and differentiated data driven applications, Pivotal announced significant updates to Pivotal Big Data Suite including major component updates to the Pivotal HD enterprise-grade Apache Hadoop distribution, as well as performance updates to Pivotal Greenplum and Pivotal HAWQ, the analytics tools included in the suite.

Pivotal HD, based on the ODP core, delivers a significantly updated Hadoop stack designed to provide better stability, management, security, monitoring and data processing.

Pivotal Greenplum offers up to 100x performance improvements with the addition of Pivotal Query Optimizer, an advanced cost-based query optimizer for big data.

These new capabilities in Pivotal Big Data Suite are available now.

Las Vegas, NV - EMC World, May 5, 2015 - Pivotal®, the company accelerating digital transformation for enterprises, today announced significant updates to Pivotal Big Data Suite. This includes major upgrades to its enterprise-grade Pivotal HD Apache™ Hadoop® distribution, and up to 100x performance improvements for its analytic solutions, including Pivotal Greenplum® Database, which comes with the most advanced, cost-based, Pivotal Query Optimizer for big data. These advancements are designed to help customers manage ballooning data sets driven by mobile, cloud, social, and the Internet of Things, and to tackle the most complex queries across these data sets at unprecedented speed, scale, and flexibility.

Mastering big data, agile methodologies, and cloud native applications are key elements to digital transformation for modern enterprises. Anchored in open-source software and based upon a subscription model, Pivotal Big Data Suite delivers modern software designed to scale up and support new and existing approaches to data architectures. In a single suite, Pivotal provides all of the data processing, analytics, and application capabilities to help enterprises gain better insights and create better user experiences, with the stability and security they require.

Driving the significant performance gains of Pivotal Greenplum and Pivotal HAWQ®, is the new Pivotal Query Optimizer, the most advanced cost-based query optimizer for big data. Pivotal Query Optimizer has been proven to to deliver significant performance boosts to Pivotal HAWQ the world’s most advanced enterprise SQL on Hadoop engine, and to Pivotal Greenplum.

Pivotal Big Data Suite delivers the first version of Pivotal HD based on an ODP core and includes major updates to Apache Hadoop components, including Apache Spark™. Pivotal Big Data Suite is designed to provide customers with better stability, management, security, monitoring, and data processing capabilities in the Hadoop stack. This allows enterprises to off-load more business-critical workloads to Hadoop, to store and process large volumes of data at lower costs and in way that is compliant with policies and regulations.

Pivotal Greenplum and Pivotal HAWQ

  • Major leap in performance with a massively enhanced Pivotal Query Optimizer, the most advanced cost-based query optimizer for big data.
  • Ability to handle a large number of diverse workloads at high performance enables large teams to simultaneously work on multiple analytics use cases.
  • Ability to handle big data volumes at scale without performance degradation.
  • Enhanced data structure and data management capabilities.

Pivotal HD

  • Now based on a standardized Open Data Platform core consisting of Apache Hadoop 2.6 and Apache Ambari.
  • Updates existing Hadoop components for scripting and query (Apache Pig and Apache Hive™), non-relational database (Apache HBase™), along with basic coordination and workflow orchestration (Apache Zookeeper™ and Apache Oozie).
  • Adds Apache Spark core and machine learning library.
  • Adds additional Hadoop components for improved security (Apache Ranger (incubating), Apache Knox), monitoring (Nagios, Ganglia in addition to Apache Ambari) and data processing (Apache Tez).

Open. Agile. Cloud Ready.
Pivotal Big Data Suite allows companies to modernize their data infrastructure, discover more insights with advanced analytics, and build applications at scale with a number of leading data products available to them at one subscription price. It includes recently announced application services that give developers the ability to leverage SQL and NoSQL databases, in-memory processing, and real-time environments to ensure high availability and resilience of strategic innovative apps. Pivotal Big Data Suite components can be deployed on commodity hardware, pre-certified appliances, virtualized and private cloud instances, and in public clouds.

Figure: Pivotal Big Data Suite

Supporting Quotes

Sundeep Madra, Vice President, Data Product Group, Pivotal

“As the cost of computing declines and connectivity becomes ubiquitous, enterprises will be challenged not only by the deluge of data created by applications and customer interactions, but from the billions of devices joining their networks. Pivotal's continued investments in Big Data Suite allows enterprises to create true business impact by enabling apps that scale, analytics that predict behavior and prescribe actions and lastly, a realistic solution to their digital transformation aspirations.”

Sergey Sotnichenko, Head of Data Warehousing and Reporting, Tinkoff Bank

“Pivotal Greenplum’s new features are expected to maximize the utilization of our hardware resources and provide better performance for complex queries on big data. This could enable us to shorten the time it takes to gain meaningful and trustworthy business insights and quickly act on them using existing assets.”

Zhang Min, Vice President, CITIC Bank

“As a long time Greenplum customer, we are excited to see Pivotal’s continued investment in the Greenplum Database. While the current product performs well, the new features will shorten the cycles of innovation by enabling complex queries on large data sets and bringing analytics closer to big data”


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Analyst Relations

© 2015 Pivotal Software, Inc. All rights reserved. Pivotal, Greenplum and HAWQ are trademarks and/or registered trademarks of Pivotal Software, Inc. in the United States and/or other countries. Apache, Apache Hadoop, Hadoop, Apache Ambari, Apache Pig, Apache Hive, Apache HBase, Apache Zookeeper, Apache Oozie, Apache Ranger, Apache Knox, and Apache Tez are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. The ASF is not affiliated with the Open Data Platform initiative (ODP) and does not sponsor or endorse ODP. All other trademarks are the property of their respective owners.