Scalable, Elastic Big Data Infrastructure

Eliminate the capital costs associated with learning about your business.

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Pay as you go

Don't be burdened with the capital costs of building your own Big Data stack. Pay for what you use, when you use it. Scale your costs with your demand.

Scale to the Moon - and Back!

Big Data platforms are highly variable and as such, so should your infrastructure layer. Cloud-A allows you to scale up or down your Big Data stack on-demand, as required.

Open Technology

Avoid being locked into a on-premise, proprietary Big Data appliance. Choose your stack on your own terms.


We feel that choosing the right elastic infrastructure platform will be the biggest, and most important decision you make in building out a Big Data solution. Cloud-A’s API driven infrastructure provides users the flexibility to perform real time analytics and/or batch processing, allowing users to select the right tool for the job. In addition, and most importantly, Cloud-A allows users with the ability to build an environment that suits today’s requirements, knowing that the environment can be scaled up or down, on demand, if requirements change.


Over 15 pre-configured VM flavors, including specially configured Cloud-A Big Data High Memory® and Big Data High Compute® VM options to crunch data from the largest of jobs. Spin up multiple workers to complete jobs faster and spin them to down after to reduce costs.


Let us worry about capacity planning for your Big Data project! Bulk Storage provides a simple, scalable and reliable repository for both incoming data streams and the results of analysis and modeling - and it is 3 time less expensive than traditional block level storage!



Cloud-A is a proud Hortonworks Certified Technology Partner. Hortonworks is the only 100-percent open source software provider to develop, distribute and support an Apache Hadoop platform explicitly architected, built and tested for enterprise-grade deployments. Cloud-A is verified technology that has been reviewed for architectural best practices, validated against a comprehensive suite of integration test cases, benchmarked for scale under varied workloads and comprehensively documented by Hortonworks.

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  • Mike Branch

    The speed of Cloud-A’s infrastructure, the quality of the servers, their pricing structure, and their customer service have all been top notch. We have been deployed in their environment since the beginning of 2015 and have actually experienced better performance than on AWS and I can now assure my clients that we have a data analytics solution that resides entirely within Canada. I would recommend Cloud-A any day.

    Mike Branch/CEO, MapsBI

  • Patrick LaRoche

    Without Cloud-A’s experience and knowledge, as well as a showing a genuine interest in seeing us succeed, we would not have been able to deploy such a complex data analytics platform to the Cloud

    Patrick LaRoche/Co-founder, TopLog

Big Data Content

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Hadoop <3's Bulk Storage

We have touched on Hadoop before in our blog, first announcing our partnership with Hortonworks, back in February of 2014, and more recently on our Big Data Solutions Page. Hadoop is a powerful open source framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models, making […]

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MongoDB NoSQL database on Cloud-A

Cloud-A provides a flexible, scalable cloud infrastructure platform to allow users to select the right tool for each job. Cloud-A has recently announced its technology partnership with MongoDB, to provide a supported, scalable NoSQL solution for Cloud-A users. MongoDB is a next generation database for modern application architecture that accelerates time-to-market with less resources, reduces […]

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Cloud-A Becomes MongoDB Technology Partner

We are happy to announce that Cloud-A is now a MongoDB technology partner. MongoDB is the world’s fastest growing database ecosystem,  and we are excited to be a part of it! This new partnership helps allow our users to build better solutions on Cloud-A infrastructure with the tools they want. Deployed where and how they want. For those who […]

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Big Data in the Cloud

We have been seeing an increasing demand for Big Data workflows on Cloud-A. Many companies, big and small are looking for greater business intelligence to make more informed decisions more quickly and get ahead of the competition. The public cloud provides an ideal home for many organization’s Big Data platforms as it reduces the initial investment […]