Performance Acceleration for Oracle Data Warehousing

Architecture Matters

Greenplum’s features and capabilities provide true analytic flexibility so that users won’t need to burden their IT departments for every analytic request. Whereas Oracle offers a mainframe Scale-Up Architecture that relies on proprietary hardware, Greenplum provides a Scale-Out Cloud Architecture that uses standard commodity hardware. This difference has huge implications for the enterprise. Scaling Greenplum is as simple as bringing in new commodity servers for incremental expansion and linear scalability.

Built for Data Warehousing and Analytics

Greenplum was created for big data analytics and includes features unmatched by other platforms:

• Polymorphic Data Storage: handles multiple data storage formats (including both column and row), increasing the speed of a broad range of query types.
• Scatter-Gather Streaming: enables the world’s fastest data loading.
• Shared-Nothing Massively Parallel Processing MPP: the gold standard for parallel processing efficiency and scalability in analytic environments.
• Schema neutrality: enables great performance regardless of the data’s organization.

Choice and Flexibility

Only Greenplum offers the choice and flexibility of a software-only solution. This allows more flexible deployments while reducing cost and complexity. Rather than force an appliance into every use case (such as test, development, quality assurance, DR, and sandboxes), Greenplum lets you right-size each installation based on the native requirements. For example, users can leverage virtualized environments for Test and Development, build their own environments for QA, and deploy Data Computing Appliances in production.

This flexibility is not possible with Exadata. If you deploy Exadata in production, you must buy Exadata everywhere or risk inconsistent functionality between environments. This vendor lock-in can have enormous cost consequences.

Lower Total Cost of Ownership (TCO)

Greenplum enables any type of data analysis using low-cost, commodity hardware, ranging from simple reports to ad hoc querying to deeply complex big data mining. A prominent financial institution that performed a 10-year TCO analysis and an onsite proof-of-concept (POC) reported:

“With Greenplum, we saved several million dollars through 2018 and improved our performance by 10 times or more. As our data growth has exceeded forecasts, we’re saving millions more. We are very pleased with picking Greenplum.”

Agile Analytics

To be analytically agile, a company must create a flexible environment that allows users to access data with little or no intervention. The same rule applies as the analytic workloads change and as new or incremental data is added. Analytic agility enables discovery-led analysis to adapt to the dynamic and unpredictable nature of business. Greenplum’s products are designed for complex analytic uses and readily anticipate them. These products deliver the industry’s best price for performance while providing a solution for every business scenario.

Get Started Today

To win the analytics race, your company needs the infrastructure to quickly deliver analytic capacity, and must be able to respond. Contact a Greenplum expert to get started today.