SOURCE: Qubole


December 17, 2014 08:00 ET

P&M Computers Selects Qubole as Its Preferred Big Data-as-a-Service Partner

Leading Systems Integrator Joins Qubole's Partner Ecosystem to Add Big Data-as-a-Service to Its Cloud Services Practice

MOUNTAIN VIEW, CA--(Marketwired - Dec 17, 2014) - P&M Computers has joined the Qubole partner ecosystem, the two companies announced today.

The Qubole Data Service (QDS), built by the engineering team behind Facebook's data platform and the Apache Hive project, offers a full-stack big data environment delivered as a service on the leading public clouds of Google GCE, AWS and Microsoft Azure. The systems integrators of these clouds are adding Qubole's data service platform to their cloud practices to meet the customer appetite for simplified, cost-effective big data solutions. A leading systems integrator and AWS consulting firm, P&M Computers is uniquely qualified to help customers realize what is possible with big data when the complexity of infrastructure resources is eliminated and big data is delivered on demand as a service.

"As a longtime IBM partner, we have a tremendous amount of experience delivering infrastructure solutions: we know first-hand the complexity that comes with the compute and storage required for big data projects," said Francis Poeta, P&M Computers CEO. "Our cloud services practice, built around AWS, is growing and since Qubole is delivered as a service, it allows us to accelerate projects, shortening time to value and increasing the overall value to my customers." 

Organizations are learning that big data is the perfect use case for the public cloud, with its unlimited availability of inexpensive, elastic and instantly accessible resources. This is driving rapid adoption of Qubole Data Service and the expansion of Qubole's solution provider network.

"Qubole has a leveraged business model that relies on solution providers with deep expertise in infrastructure and big data. We are pleased to partner with leading AWS consulting partners such as P&M to help organizations of all sizes more easily realize the value of big data," said Marcy Campbell, SVP of Sales and Business Development. 

The Qubole Solution Provider partner program is growing rapidly and offers complimentary training, consulting days and the ability to share in the monthly revenue stream. Qubole relies on its partner ecosystem to deliver 100 percent of the professional services associated with big data projects, offering an excellent opportunity for systems integrators with established cloud practices to increase profitability and expand their cloud practices. Learn more about becoming a Qubole partner at

About Qubole
Qubole makes it easy to turn cloud data into business growth by equipping organizations with a self-service platform to access, process and collaborate, so they can do more with big data.

Data-driven companies like Pinterest, Quora, MediaMath, TubeMogul,, Videoplaza, Pubmatic and others rely on Qubole's Big Data-as-a-Service Solution to easily tackle their most challenging big data requirements at a fraction of the cost of traditional alternatives. The largest brands in social media, online advertising, entertainment, gaming and other data-intensive ventures make it rain with Qubole.

Award winning Qubole was founded by Ashish Thusoo and Joydeep Sen Sarma, creators of Facebook's big data infrastructure and Apache Hive, with the mission of making it simple to prepare, integrate, access and collaborate in the cloud so that all areas of the enterprise can do more with big data.

About P&M Computers 
P&M is a leading systems integrator, serving SMB customers primarily in the northeast. Based in New Jersey, P&M has been in business for more than 20 years delivering data center expertise and consulting. A long-time advocate and supporter of open source solutions, P&M has established partnerships with leading technology providers such as IBM, Microsoft, Intel, Citrix, Oracle, VMware, Redhat, and Cisco. 

Contact Information

  • Media contact:

    Melanie Duzyj
    LEWIS PR for Qubole
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