Enterprises and organizations across a variety of industries use BlueData’s EPIC™ software platform to simplify and streamline their Big Data deployments, providing a Big-Data-as-a-Service experience with on-demand Hadoop and Spark clusters running on Docker containers. Some example customers and industries are highlighted below.
University of Georgia
Case Study with Apache Spark
A Global 2000 pharmaceutical company needed to unlock terabytes of data stored in multiple enterprise storage platforms for drug research and clinical trials data analysis. With BlueData, their data scientists and IT teams can quickly deploy Hadoop or Spark clusters using existing on-premises data center infrastructure – including sensitive data stored within their shared enterprise storage systems – for both test and production environments.
A large government organization needed an infrastructure platform that would enable their R&D teams to quickly spin up Hadoop clusters – using multiple different distributions – to develop and test algorithms for predictive threat analysis. The BlueData platform provides the ability to rapidly provision virtual clusters for any Hadoop distribution and to deploy any Big Data application in minutes – all within a secure, isolated, multi-tenant environment for different agency users.
A Fortune 500 retail company was looking for a Big Data infrastructure platform to enable instant Hadoop cluster access for data analysts in multiple business groups across the enterprise. With BlueData, they can reduce the complexity of their Hadoop deployment, provision virtual clusters on-demand for their data analysts, leverage enterprise-grade security and multi-tenancy for different teams, and enable significant cost savings versus a traditional bare-metal deployment.
A global telecommunications company uses BlueData to simplify and speed the deployment of Big Data tools and technologies for its data scientists and engineers. BlueData provides a multi-tenant, self-service environment where teams can spin up their own Hadoop or Spark clusters on-demand, using the analytical tools and distribution of their choice, while ensuring the security and governance required by their IT operations and data center teams.