IBM Netezza Performance Server for IBM Cloud Pak for Data

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Introduction to IBM Netezza Performance Server

IBM® Netezza® Performance Server for Cloud Pak® for Data is an advanced data warehouse and analytics platform that is available both on-premises and on-cloud. This next generation of Netezza enables you to do data science and machine learning with data volumes scaling into the petabytes. Built on IBM Red Hat® OpenShift® it is a bundled architecture of software that includes the Netezza core software and broad new analytics and data processing capabilities within the IBM Cloud Pak for Data (CP4D) system. This provides the flexibility to deploy NPS anywhere; on-premises and/or public, private clouds with the extensibility needed from a modernized platform.

IBM Cloud Pak for Data (CP4D) System

IBM's CP4D is a hyperconverged system that combines software, storage, compute and networking. It simplifies and unifies the management, governance and analysis of data. It allows you to easily and quickly provision and deploy data services such as Data Warehousing and Advanced Analytics that are tailored to specific customer needs.

CP4D is designed so that when NPS is deployed, base node workloads do not affect the NPS database processing / performance and vice versa. The CP4D uses a containerized / hybrid cloud architecture where expanded processing needs can be delivered within the hyperconverged system, on another set of on-premise infrastructure or on the cloud.

NPS Availability

NPS is available on IBM Cloud, Amazon Web Services (AWS), Microsoft Azure, and Cloud Pak for Data System and as a service on Microsoft Azure.

Netezza Performance Server Highlights

  • Patented and proven data analysis technology
  • Secure, hybrid multi-cloud system of insight platform designed for speed, simplicity of use, and value
  • Data science and in-database machine learning at scale
  • Data virtualization—query anything, anywhere, using many databases as one
  • Built for resilience and business continuity


Further Information

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