Combines MPP relational database with enterprise-class Apache Hadoop
EMC has introduced the EMC Greenplum Modular Data Computing Appliance (DCA), a Big Data analytics platform featuring modular architecture.
The Greenplum DCA allows enterprises to combine a shared-nothing MPP relational database with enterprise-class Apache Hadoop – along with Greenplum partner BI and ELT applications to achieve true structured and unstructured data co-processing.
The new platform enables enterprises to scale up data processing by giving them the ability to start small and expand the appliance in more flexible and cost-effective quarter-rack increments, the company said.
Enterprises can bring all their BI applications and ELT tools directly into the cluster, in the same DCA, through the use of new Greenplum Data Integration Accelerator modules.
This will result in a unified Big Data platform combining structured and unstructured data and applications in a single platform, monitored, managed and supported by EMC.
The company has released four Greenplum Data Computing Appliance modules, which include the Greenplum Database Module, the Greenplum Database High Capacity Module, the Greenplum HD Module, and the Greenplum Data Integration Accelerator (DIA) Module.
The purpose-built, data-warehousing Greenplum Database module architecturally integrates database, computing, storage and network into an enterprise-class, easy-to-implement system, the company said.
The Greenplum Database High Capacity Module is designed to host multi-petabytes of data without surging power consumption, increasing costs or mushrooming space, while the Greenplum HD Module is a high-performance data co-processing Hadoop appliance module.
The Greenplum Data Integration Accelerator (DIA) Module hosts partner analytics applications and places them directly on the same high performance, low latency interconnect as the other appliance modules.
EMC division Greenplum president and general manager Bill Cook said today’s announcement reflects their shift to a focus on building the analytics platform of the future, and they have had great success with that as enterprises adopt and validate their vision of data co-processing.