Pivotal, an open source solution provider, has announced a new release of Pivotal Big Data Suite, the next generation big data solution built to help enterprise customers accelerate the value they get from their big data. Pivotal will open source the core components of Pivotal Big Data Suite.
With over 25 years invested in development of Pivotal’s big data product portfolio and global customers across every industry, Pivotal brings forward extensive experience to now offer customers an open source choice to accelerate their data-driven applications.
Core components of the Pivotal Big Data Suite – including world-leading, analytical MPP data warehouse Pivotal Greenplum Database, the world’s most advanced enterprise SQL on Hadoop analytic engine, Pivotal HAWQ; and the leading premium NoSQL in-memory database, Pivotal GemFire – will be, for the first time, based on an open source core. The contributions will be an open, fully functioning core that will provide mission critical resiliency, advanced client support, performance optimizations for demanding enterprise workloads and advanced operational tools.
“Pivotal Big Data Suite is a major milestone in the path to making big data truly accessible to the enterprise,” said Sundeep Madra, vice president, Data Product Group, Pivotal. “By sharing Pivotal HD, HAWQ, Greenplum Database and GemFire capabilities with the open source community, we are contributing to the market as a whole the necessary components to build solutions that make up a next generation data infrastructure. Releasing these technologies as open source projects will only help accelerate adoption and innovation for our customers.”
Delivered On an Open Cloud Platform
Customer focus has moved from storing the data to unlocking its potential—demanding a more agile way to wield their data. Pivotal Big Data Suite also offers customers an agile data solution based on open source software that can be flexibly deployed using cloud technologies.
Pivotal Big Data Suite will provide support for bare metal commodity hardware, appliance-based delivery, virtualized instances, and now public, private, and hybrid cloud support. In addition, Pivotal Cloud Foundry Operations Manager will be included to provide Pivotal Big Data Suite capabilities as services inside and with Pivotal Cloud Foundry applications.
“Internet of Things (IoT) implementations will require this type of open, agile and adaptive platform to be successful. Pivotal’s ability to combine open systems, proven technology, cloud delivery, and their expertise in agile methodologies is well matched to provide value in the evolving world of big data and IoT,” said John L Myers, Managing Research Director at Enterprise Management Associates.
Choice and Flexibility with a Single Subscription
Pivotal Big Data Suite will be the industry’s first and only suite of enterprise class big data products based on open source at their core. Barriers to big data deployments will be removed through a single flexible suite, for both application developers and data practitioners. Enterprises now have access to the flexible deployment of data lakes, powerful tools for advanced analytics and data science, as well as a portfolio of building blocks for supporting custom data-centric scale-out applications in hybrid cloud environments.
Pivotal Big Data Suite to Include New Application Services
Pivotal Big Data Suite includes several new data services:
● Pivotal Big Data Suite on Pivotal Cloud Foundry—Leverage advanced data services using applications running in the leading open cloud platform as a service.
● Spring XD—Highest scaling open source distributed framework for data ingestion, batch processing and analytic pipeline management.
● Redis—Leading scalable open source key-value store and data structure server.
● RabbitMQ—Leading scalable open source reliable message queue for applications.
Unified and Open Approach to Big Data
Responding to customer and market needs for unification in the Big Data space, Pivotal is joining forces with other data industry leaders to provide customers a stable, secure and interoperable foundation to build on.
In related announcements made today, Pivotal will be participating in the Open Data Platform to drive further collaboration and the adoption of modern, scalable data architectures by enterprises.
In addition, Pivotal announced a strategic alliance with Hortonworks to simplify the adoption of Apache™ Hadoop® by enterprises, which includes support for its advanced services like Pivotal HAWQ running on the Hortonworks Data Platform.
Scott Yara, President, Pivotal, said, “We’ve been encouraged by the positive reception we’ve received from our largest customers/partners, and hope that it will represent a significant turning point for an industry that has been traditionally dominated by closed, proprietary database products.”
Steve Jones, Global VP of Big Data, Capgemini, explained, “When Capgemini and Pivotal created the Business Data Lake a core message was the importance of flexibility in the types of analytics that Businesses needed. With these Open Source announcements we see increased flexibility for our clients as they transform towards Insight driven business models. Pivotal’s ability to offer ANSI compliant SQL on Hadoop and in-memory analytics and flex the approach based on demand is a key when focusing on outcomes not technologies.”
