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Summary:

The EMC-VMware spinoff integrates the GemFire in-memory database with its Hadoop offering. The goal? Faster feedback cycles.

Om and Paul Maritz

Pivotal, the company spun out of EMC and VMware last year to build a next-gen data analytics platform, is putting more pieces of that platform together.

On Wednesday, it said it has integrated GemFire XD, an in-memory transactional database, with Pivotal HD, the company’s commercial Hadoop offering.  The resulting product — Pivotal HD1.1 —  combines GemFire’s read-write store with Pivotal’s HAWQ query engine and Hadoop to enable construction of scale-out online transaction processing (OLTP) applications, according to the company.

Pivotal CEO Paul Maritz has said the company aims to help developers build a new class of applications that can not only harness tons of the data they have collected, but analyze it in a way that provides near-real time results.

The company, along with the New York Stock Exchange, also debuted Pivotal Data Dispatch, a “self-service” data access product that promises to give customers a consolidated view of myriad data sources.

At Gigaom’s Structure Data show last spring, Maritz said companies need this speed and agility to serve customers better. Telephone companies, for example, would be able to know not only that their service has dropped phone calls, but whose calls got dropped — this sort of feedback now takes days.

Pivotal HD 1.1 will be available November 1. Pivotal plans to roll out its  “Enterprise PaaS,” presumably based on Cloud Foundry, on November 12.

There’s no doubt that Pivotal has a sweeping vision and some impressive backers –aside from EMC and VMware, General Electric owns a stake — but the proof will be in the pudding.

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  1. Pivotal is looking more and more like the one to watch out for in the full stack Big Data space.

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