The BlueData EPIC™ (Elastic Private Instant Clusters) software platform solves the infrastructure challenges and limitations that can slow down and stall Big Data and AI deployments. With EPIC software, you can spin up containerized environments for analytics and machine learning – in minutes rather than months.
Leveraging the power of containers, BlueData EPIC makes it easier, faster, and more cost-effective to deploy Big Data analytics and machine learning – including Hadoop, Spark, Kafka, TensorFlow, 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 Big-Data-as-a-Service environment to enable faster time-to-insights and faster time-to-value – either on-premises, in the public cloud, or in a hybrid cloud deployment.
Features and Benefits
Deploy in Minutes: Big Data Clusters in Minutes, not Months
The BlueData EPIC software platform eliminates the complexity of Big Data and AI deployments, giving your data science teams the ability to create instant environments for analytics and machine learning running on Docker containers.
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 Big Data analytics and machine learning. 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 new Cloudera or Hortonworks clusters, Spark clusters with Kafka and data science notebooks, or TensorFlow environments for deep learning. You can also deploy different versions of the same application on common infrastructure, to simplify dev/test and upgrades.
Self-service job creation
Instead of waiting weeks, users can process Big Data jobs as needed. That means your data scientists and analysts can now quickly respond to dynamic business requirements by running a variety of jobs ranging from analytical SQL to Spark machine-learning scripts against their data in a matter of a few clicks. A high level of 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.”
ENTERPRISE STRATEGY GROUP
Reduce Complexity: Optimize Performance
EPIC unifies Big Data compute, storage, and management 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.
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 Big Data clusters. They can now run Big Data jobs simultaneously. And with EPIC, your IT teams can use policy-based automation and management to control the reservation of resources for different tenants.
BlueData’s patent-pending DataTap™ technology addresses critical challenges to the adoption of Big Data in enterprises. With DataTap, you can access and run Big Data jobs directly against existing enterprise-class storage systems. Because EPIC separates compute and storage, you don’t need to move data before running analytics. This means that sensitive data stays put in your secure storage system 24×7 with enterprise-grade data governance.
The BlueData patent-pending IOBoost™ technology enables extreme performance in a containerized environment that is comparable to or better than 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 Big Data jobs.
Reduce Costs, Get More Value
With BlueData, you can save up to 75 percent on the infrastructure and operational costs for your Big Data and AI 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 Big Data analytics and machine learning needs.
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 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 – 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.