Pivotal Big Data Suite Reviews, Features This Technology The Pivotal Big Data Suite is an integrated solution that enables big data management and analytics for enterprises. It includes Greenplum, a business-ready data warehouse,
GemFire, an in-memory data grid and Postgres which helps deploy clusters of the PostgreSQL database. With a data architecture built for batch as well as streaming analytics, it can be deployed on-premise and in the cloud, and as part of Pivotal Cloud foundry.
Since 2019, Pivotal has been owned by VMWare. Besides an annual subscription, the vendor offers pricing by core for its computing resources.
It is compatible with open data platform (ODP) versions of Hadoop and works with Apache Solr to provide text analytics.
Open Source The Pivotal Way
In 2014, Pivotal Big Data Suite simplified and combined a set of market-leading proprietary technologies built to work with our Apache-compliant Hadoop Pivotal HD.
While our customers loved the the capabilities and gobbled up the Pivotal Big Data Suite’s flexibility, they were clear that their buying preferences were changing.
Customers these days are seeking to incorporate open source technology as much as possible, especially in the area of IT infrastructure.
So, in hearing our customers requests, and given Pivotal’s record-breaking success with the Pivotal Cloud Foundry business, we have decided to embrace a totally open source approach for Pivotal Big Data Suite.
This includes incorporating additional open source technologies as entitlements to our popular flex licensing capabilities.
We plan to release all components of our powerful data portfolio to open source, and using our experience with the Cloud Foundry Foundation to help create a more stable, enterprise-friendly core for Hadoop.
Releasing long-time proprietary products as open source might seem to be as easy as simply posting code to Github, but there’s quite a bit involved.
This has been in the works for some time however, Pivotal is actively championing each of these technologies through the path to open source, selecting licenses, protecting intellectual property, and establishing governance.
Our detailed plans are still being finalized, but we plan to begin release and incubation of Pivotal GemFire, Pivotal HAWQ, and Pivotal Greenplum Database in a quarterly cadence.
We’re closing in now on the structure of ownership of GemFire, Greenplum Database, and HAWQ code to the most appropriate entity for working with the big data community.
As we get closer to actual release milestones, we will continue to update on the progress of each product.
Moving Beyond “Big” to Agile Data
HDFS and the Apache Hadoop® ecosystem have always been a core component of Pivotal Big Data Suite to provide flexibility for handling data stores of any size, type, and speed.
But today, what customers have been asking for is a more agile way to wield their data. Our customers are looking to Pivotal to transition their data infrastructures in the same way we have their application development, engineering, and IT operations methods and platforms.
For Pivotal, this means a next generation data infrastructure that seamlessly provides the enterprise with the data they need, where they need it, and with the right tools for the job.
We feel particularly armed to solve this challenge as we continue to integrate our world leading platform as a service and big data technologies. And here, with this new version of
Pivotal Big Data Suite, we have focused on increasing options with support for bare metal commodity hardware, appliance-based delivery, virtualized instances, and now public, private, and hybrid cloud support.
In addition, we now include an instance of Pivotal Cloud Foundry, and the ability to allocate cores of Pivotal Big Data Suite to Pivotal Cloud Foundry data services utilizing Pivotal Big Data Suite components—all in one easy to utilize and flexible enterprise subscription.
Pivotal Big Data Suite New Services
Pivotal Big Data Suite includes several new data services:
- Pivotal Big Data Suite on Pivotal Cloud Foundry – Leverage the latest data services by using applications that run on leading open cloud platforms as a service.
- Spring XD— The most scalable open source distributed framework for data processing, batch processing and analytic pipeline management.
- Redis – The value added and scalable store and the leading open source based data structure server
- RabbitMQ – A scalable and leading open source based trusted message queue for applications
Integrated and Open Approach to Big Data
Responding to market and customer needs for the amalgamation of the big data space, Pivotal joins forces with other data industry leaders to provide consumers with a stable, secure and inter-operational foundation.
Following today’s announcement, Pivotal will participate in the Open Data Platform to increase collaboration and enterprise adoption of modern, scalable data architectures.
Additionally, Pivotal announced a strategic alliance with Hortonworks to ease enterprise adoption of Apache™ Hadoop®, including support for its latest services such as Pivotal HAWQ that runs on the Hortonworks Data Platform.
Telco Big Data Golden Harvest on the Digital Fields
