Self-service. On-demand. Now that’s EPIC.


The BlueData EPIC™ (Elastic Private Instant Clusters) software platform solves the infrastructure challenges and limitations that can slow down and stall AI and Big Data deployments. With EPIC software, you can spin up containerized environments for distributed Machine Learning and Analytics – in minutes rather than months.

Leveraging the power of containers, BlueData EPIC makes it easier, faster, and more cost-effective to deploy AI, Machine Learning, and Big Data Analytics – including Spark, Kafka, TensorFlow, H2O, Hadoop, and more – whether on-premises, in the cloud (on Amazon Web Services, Google Cloud Platform, and/or Microsoft Azure), or in a hybrid architecture. Your data scientists and analysts can use the tools they prefer. You can run it with any shared storage environment, so you don’t have to move your data. And it delivers the enterprise-grade security and governance that your IT teams require.

With BlueData EPIC, you can provide a highly flexible and secure AI-as-a-Service or Big-Data-as-a-Service environment to enable faster time-to-insights and faster time-to-value – either on-premises or in the public cloud, in a multi-cloud or hybrid cloud architecture.

Features and Benefits

Deploy in Minutes: Environments in Minutes, not Months

The BlueData EPIC software platform eliminates the complexity of AI and Big Data deployments, giving your data science teams the ability to create instant environments for distributed Machine Learning and Analytics running on Docker containers.


With BlueData software, users can spin up containerized environments within minutes – providing on-demand access to the applications, data and infrastructure they need .


On-demand provisioning

In a world where demands for data are increasingly dynamic across diverse business units, the EPIC platform provides your organization with an agile and on-demand consumption model for AI, Machine Learning, and Big Data Analytics. Data science teams can now quickly and securely create their own containerized environments. EPIC ensures flexibility and choice, with enterprise-grade security and control.


Use your tools of choice

EPIC offers the top-hits library of open-source frameworks, tools, and applications to address a wide variety of use cases. For example, with EPIC, you can easily spin up multi-node TensorFlow or H2O environments for distributed Machine Learning / Deep Learning, Cloudera or Hortonworks clusters for Big Data Analytics, Spark clusters with Kafka and Jupyter notebooks, and more. You can also deploy different versions of the same application on common infrastructure, to simplify dev/test and upgrades.


Self-service automation

Instead of waiting weeks, users can spin up on-demand environments as needed. That means your data scientists and analysts can now quickly respond to dynamic business requirements by running a variety of workloads ranging from Machine Learning to analytical SQL against their data in a matter of a few clicks. A high level of automation and elasticity allows the BlueData EPIC platform to dynamically adapt to changing workload requirements in the most cost-efficient manner.

“BlueData is a game changer for those struggling to simplify the provisioning and management of Big Data.”


Reduce Complexity: Optimize Performance

EPIC unifies the compute, storage, and management for AI and Big Data deployments into a single, easy-to-use, multi-tenant platform that provides IT with control over the use of resources for different tenants and application-sensitive caching to maximize performance.

BlueData EPIC provides a secure, multi-tenant environment for AI and Big Data deployments. IT can ensure logical isolation for each tenant, with the benefits of shared resources.



Multi-tenancy is a key capability of the BlueData EPIC platform. It means your disparate stakeholders (e.g., different business units or data science teams) no longer have to wait in a queue to gain access to AI and Big Data environments. They can now run these workloads simultaneously on shared infrastructure. And with EPIC, your IT teams can use policy-based automation and management to control the reservation of resources for different tenants.



BlueData’s patented DataTap™ technology addresses critical challenges to the adoption of AI and Big Data in enterprises. With DataTap, you can access and run environments for AI, Machine Learning, and Big Data Analytics directly against existing enterprise-class storage systems. Because EPIC separates compute and storage, you don’t need to move data. This means that sensitive data can stay put in your secure storage system 24×7 with enterprise-grade data governance.



The BlueData patented IOBoost™ technology enables extreme performance in a containerized environment that is comparable to (or better in some cases) than performance for Big Data and AI workloads on bare-metal infrastructure – as demonstrated and validated in recent benchmarking tests. Working in conjunction with DataTap, IOBoost provides application aware-caching and tiering to accelerate performance for large-scale AI and Big Data environments.

Reduce Costs, Get More Value

With BlueData, you can save up to 75 percent on the infrastructure and operational costs for your AI and Big Data deployment. The EPIC platform provides cost savings controls, eliminates uncontrolled cluster sprawl and data duplication, and provides unparalleled flexibility to mix and match infrastructure (whether on-premises or in the cloud) for your Machine Learning and Big Data Analytics needs.

Improve infrastructure utilization for AI and Big Data with Docker container nodes; the top screen shows dashboard views where IT can track usage, load, and performance. Tap into local HDFS or shared storage (e.g. remote HDFS, NFS), as seen in the bottom screen showing multiple DataTaps.


Compute and storage separation

EPIC disconnects analytical processing from data storage, giving you the ability to independently scale compute and storage instantly on an as-needed basis. This enables more effective utilization of compute resources, more flexibility on server/storage configurations and, as a result, lower data center operating costs.


Eliminate data duplication

By using DataTap to analyze data in enterprise distributed storage, your organization can significantly reduce cost– for example, by eliminating the 3X data duplication in bare-metal Hadoop Distributed File System (HDFS) environments. You can also reduce the time-consuming manual data movement efforts between these systems.


Any compute, any storage

EPIC supports any physical server or virtual machine for on-premises deployments – as well as Amazon Web Services, Google Cloud Platform, and Microsoft Azure public cloud environments – allowing you to select the right infrastructure for your needs. Just as important, you can access data from any shared storage system (including HDFS as well as NFS) or cloud storage.


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