Under the hood of Pivotal One, where cloud dev meets big data

GE-funded startup Pivotal demonstrates the potential of PaaS with big data

Fueled by a $105 million cash infusion from GE, EMC spin-off Pivotal today drew back the curtain on its next-generation PaaS platform, Pivotal One. The offering aims to provide companies a level of cloud independence by knitting together data, application, and cloud fabrics into a single platform that runs on third-party IaaS, such as Amazon Web Services, OpenStack, vSphere, vCloud Director, or private brands.

Pivotal's goal is to provide organizations with a platform on which they can roll out homegrown or custom-built cloud-based big data applications that pull in vast quantities of data in real time from various streams and turn that data into immediate, useful information. Among the opportunities here is to advance the vision of the Internet of things, where networked items -- corporate assets or consumer goods like fleets of trucks, medical equipment, vending machines, construction equipment, gas and electric meters, and thermostats -- become "smart objects" that can become part of the Internet and active participants in business processes.

Those last two examples, by the way, illustrate why GE has plunked down $105 million in a startup that won't deliver its flagship Pivotal One offering until Q4 of this year.

Flexibility is central to Pivotal One, which is why its underlying components are built on open source projects. Pivotal HD, the data-fabric component, is based on an "enterprise-hardened" version of Apache Hadoop, and the Pivotal Cloud and Application Platform is based on Cloud Foundry and the Spring application developer framework.

Digging into those layers reveals a dizzying but necessary array of components, given the company's ambitious undertaking in being a PaaS that integrates new data fabrics, modern programming frameworks, and cloud portability while still supporting legacy systems. Conveniently, Pivotal has a services arm, Pivotal Labs, which provides application design, development, and management services.

To appreciate the magnitude of Pivotal's PaaS ambition, it's useful to dig down into some of the platform's core components.

HAWQ: SQL meets Hadoop

Core to the Pivotal HD data-fabric layer is HAWQ, a parallel SQL query engine that marries Pivotal Analytic Database (Greenplum) and Hadoop 2.0 and is optimized for analytics, with full transaction support. Designed for a high degree of linear scalability, HAWQ reads data from and writes data to HDFS natively. HAWQ delivers tools for interacting with petabyte-range data sets, and it includes a standards-compliant SQL interface.

According to Pivotal, HAWQ uses a technology dubbed dynamic pipelining, a parallel data flow framework, to orchestrate query executions. HAWQ breaks complex queries into small tasks and distributes them to query processing units for execution. The system's basic unit of parallelism is the segment instance.

"Multiple segment instances work together on commodity servers to form a single parallel query processing system. When a query is submitted to the HAWQ master server, it is optimized and broken into smaller components and dispatched to segments that work together to deliver a single result set," according to Pivotal. "All operations -- such as table scans, joins, aggregations, and sorts -- execute in parallel across the segments simultaneously."

HAWQ is SQL-standards compliant, ACID compliant, and can connect to "most popular programming languages." It also supports ODBC and JDBC.

Other components of the Pivotal Data Fabric include:

  • Pivotal Data Computing Appliance, based on Greenplum technology, which is a multifunction analytics platform that supports structured and unstructured data analytics, plus ETL, BI, machine learning, and data visualization
  • Pivotal Chorus (also based on Greenplum tech), an analytic productivity platform built to let teams search, explore, visualize, and import data from anywhere in the organization
  • Pivotal Performance and Management, a real-time application monitoring component that provides a view of all database transactions
  • Pivotal Analytics, an end-to-end analytics platform
  • Pivotal GemFire, which provides elastic in-memory data management
  • Pivotal SQLFire, an in-memory distributed SQL database

Cloud Foundry: Portability-friendly PaaS

Cloud Foundry -- which VMWare unveiled back in 2011 -- is a core component to Pivotal One's Application and Cloud fabric layer. Billed as an open PaaS, Cloud Foundry is designed to provide organizations with a choice of clouds, developer frameworks, and application services for building, testing, deploying, and scaling cloud apps.

The concept is that developers can create an application in their framework of choice. Through Cloud Foundry, that application could be connected with any number of application infrastructure services -- say, a cloud-based relational database or an in-house database -- and be exposed to users via any number of public or private clouds. Cloud Foundry also lets developers easily port their applications from cloud to cloud without having to change their coding.

Developers can choose from such frameworks as Spring for Java, Ruby for Rails and Sinatra, node.js, Grails, Scala on Lift, Python, and PHP. Supported applications services include RabbitMQ, Redis, and vFabric PostgreSQL from Pivotal, as well as MySQL, MongoDB, and others.

Other components in the application/cloud layer include:

The company claims Groupon, EMI, and Salesforce.com among its customers. How can a relatively new startup claim those customers, not to mention "two decades of experience?" Easy: Pivotal has 1,250 employees, mostly from earlier acquisitions by both EMC and VMware.

This story, "Under the hood of Pivotal One, where cloud dev meets big data," was originally published at InfoWorld.com. Get the first word on what the important tech news really means with the InfoWorld Tech Watch blog. For the latest developments in business technology news, follow InfoWorld.com on Twitter.

This story, "Under the hood of Pivotal One, where cloud dev meets big data" was originally published by InfoWorld.

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