BlueData Releases EPIC 3.0 for Large-Scale Multi-Tenant Big Data Deployments with Docker Containers

BlueData, provider of Big-Data-as-a-Service (BDaaS) software, is releasing an enhanced version of BlueData EPIC, providing increased scalability, enhanced networking, and significant security and performance optimizations.

With BlueData EPIC 3.0, enterprises can quickly and easily deploy large-scale production environments for big data analytics and data science running in Docker containers – either on-premises, in the public cloud, or in a hybrid architecture.

Significant updates to the platform include flexible networking and monitoring for large-scale Big Data deployments using Docker containers, additional support for big data multi-tenancy on public cloud infrastructure and hybrid architectures, performance and security optimizations for big data workloads with decoupled compute and storage, and increased productivity and automation for distributed data science operations.

“We are one of the first to add Kerberos features where you can pass through Kerberos credentials from a compute cluster to a remote HDFS cluster in a secure way where they are separated from a compute and storage perspective,” said Anant Chintamaneni, VP of Product at BlueData.

Future plans for the platform include the ability to support a variety of operating system versions and support for more cloud platforms such as Azure and Google Cloud Platform, according to Chintamaneni.

“We want to support, from an infrastructure perspective, GPU’s, and products like Tensorflow,” said Chintamaneni. “The three vectors for us as we think about innovation is the infrastructure layer, multiple cloud providers, and lastly data science enablement and operation.”

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