Greenplum Launches 'Enterprise Data Cloud' Initiative
06/09/2009
Greenplum, a provider of database software for the next generation of data warehousing and analytics, unveiled its Enterprise Data Cloud (EDC) initiative.
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The EDC Initiative is Greenplum's vision for bringing the power of self-service to data warehousing and analytics, encompassing three primary areas. These include the EDC platform, which is based on self-service provisioning, elastic scale and massively parallel processing. It also includes an agile approach to data analytics that embraces large-scale data collection, getting data into the hands of business users, and iterating quickly. Greenplum's EDC also encompasses an ecosystem of customers and partners that embrace these new capabilities with tools, infrastructure and creative methodologies.
The EDC initiative is a response to the costly and inflexible solutions that have dominated the market for the past 30 years, including enterprise data warehouse mainframes and data warehouse appliances, and traditional methodologies and monolithic approaches to implementing data warehousing and analytic systems. By contrast, the disruptive capabilities of the EDC platform are making possible much more agile approaches to implementing analytic infrastructures that allow companies to unify their data and empower business units and analysts to see data in new ways and achieve insights faster than ever before.
The Enterprise Data Cloud platform is a software-based platform that enables enterprises to create and manage any number of data warehouses and data marts that can be deployed across a common pool of physical, virtual, or public cloud infrastructure.
Key building blocks of the EDC platform include self-service provisioning, which provides analysts and DBAs the ability to provision new data warehouses and data marts in minutes with a single click. Massive scale and elastic expansion features the ability to load, store, and manage data at petabyte scale, and dynamically expand the size of the system without system downtime.
A highly optimized parallel database core: the system has as its foundation a parallel database that is optimized for BI and analytics and is linearly scalable.
“Cloud-based virtualization is beginning to seep into analytic infrastructures,” wrote James Kobielus, Senior Analyst, Forrester Research in his June 2009 report titled Massive But Agile: Best Practices For Scaling The Next-Generation Enterprise Data Warehouse. “To support flexible mixed-workload analytics, the EDW, over the coming 5-10 years, will evolve into a virtualized, cloud-based, and supremely scalable distributed platform.”
Greenplum also announced today general availability of Greenplum Database 3.3, which introduces key EDC features such as online warehouse expansion. Greenplum Database is architected from the ground up as a software-only, agile solution and already supports many of the key building blocks of the Enterprise Data Cloud platform. Greenplum Database’s EDC capabilities will be further refined in a series of product releases over the coming twelve months that will enhance automation, provisioning and management of Enterprise Data Cloud platforms.
“For the past few years, the focus in the data warehousing market has been on bigger and faster, or smaller and cheaper - but what's been neglected is the end user, the data practitioners who require access to all of the data within an enterprise, but also need to be able to manage and analyze that data as needed to achieve business insights. A cloud fabric with self-service provisioning empowers end users to simply point-and-click to instantly generate their own data mart or analytical sandbox. The cloud approach, with self-service provisioning at its core, is the future of data warehousing," said Scott Yara, president and co-founder, Greenplum. “We plan to evolve our technology aggressively to make the process of building an EDC even faster and easier, and we look forward to working with our customers and partners to develop new methodologies that fully exploit the power of the EDC approach."
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