Sunday, 5th December 2021
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Open Source, enterprise-class Big Data

New release of open, agile, and cloud-ready portfolio big data tackles the industry’s biggest challenges: big data fragmentation and vendor lock-in. Meanwhile, Pivotal and Hortonworks join forces on Apache Hadoop

Pivotal has announced a new release of Pivotal Big Data Suite, the next generation big data solution built to help customers accelerate the value they get from their big data. In an industry first, 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:
? (New) Pivotal Big Data Suite on Pivotal Cloud Foundry—Leverage advanced data services using applications running in the leading open cloud platform as a service.
? (New) Spring XD—Highest scaling open source distributed framework for data ingestion, batch processing and analytic pipeline management.
? (New) Redis—Leading scalable open source key-value store and data structure server.
? (New) 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.

Big data pioneers strike industry-first alliance to bring together assets and expertise to simplify the adoption of Apache Hadoop by enterprises

Coming on the heels of the newly announced Open Data Platform Initiative (ODP), which includes Platinum level founding members Pivotal® and Hortonworks, the two companies have announced a unified approach to meeting enterprise data management and analytics needs through a strategic and commercial alliance. Pivotal and Hortonworks will focus their efforts around a consistent core of Apache™ Hadoop®-based capabilities, including product integrations, joint engineering and production support. This strategic alignment marks a concerted strategy by both companies to leverage core competencies to maximize the benefits to their enterprise customers and partners.

The strategic partnership marries Pivotal’s best-in-class SQL on Hadoop, analytical database and NoSQL in-memory technologies, with Hortonworks’ best-in class expertise and support for Hadoop. The Pivotal/Hortonworks alliance includes the following:

· Pivotal and Hortonworks will align engineering teams to accelerate the enterprise capabilities of Apache Hadoop with Pivotal technologies, including HAWQ® and Pivotal GemFire®.
· Pivotal and Hortonworks will provide all available advanced services in the Pivotal Big Data Suite on the Hortonworks Data Platform. Beginning with the market leading SQL on Hadoop solution, HAWQ. This delivers the world's best SQL on Hadoop to Hortonworks customers for advanced analytics.
· Hortonworks will provide escalation level support for Pivotal HD 3, Pivotal’s Apache Hadoop Distribution.

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