Meeting data challenges with speed, simplicity and lower cost
IBM® data warehousing systems and appliances are optimized to deliver data services for today’s data warehouses and analytic applications. The solutions integrate analytics, server and storage into a single system.
A single, integrated appliance helps you maximize the value of your information assets without having to deploy, manage and support separate pieces of infrastructure.
Data warehousing systems and appliances can:
Data warehousing systems and appliances
IBM offers pre-built data warehousing and analytics solutions with integrated software, server, networking and storage. The easy to manage systems require minimal set-up and administration and can provide fast time to value.
IBM PureData System for Analytics , powered by Netezza technology, is a simple data appliance for serious analytics. It simplifies and optimizes performance of data services for analytic applications, enabling very complex algorithms to run in minutes, not hours. It can enable smarter analytics and deliver speed, simplicity and fast time to value.
IBM® DB2® Analytics Accelerator for z/OS is a high-performance appliance that integrates IBM Netezza and zEnterprise technologies. The solution delivers extremely fast results for complex and data-intensive DB2 queries on data warehousing, business intelligence and analytic workloads.
Data warehouse appliance solutions by industry
A combined solution from IBM, leveraging Netezza technology, and Aginity that provides retail marketers with business intelligence and analytic reports on customer behavior.
A joint solution from IBM, leveraging Netezza technology, and Aptitude Software that allows organizations to gain insight into what drives the costs and profitability of individual customers, products, channels and any other dimensions.
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Simple is STILL Better
Embrace speed & simplicity for a competitive edge
Cost/Benefit Case for IBM PureData System for Analytics
Comparing Costs and Time to Value with Teradata Data Warehouse Appliance
Big Data Platform for Analytics
In this analyst report, learn why a big data platform should support analytic workloads.
The Little Data Warehouse That Could
Introducing the concept of the data warehouse as an engine for making data smarter, and faster for data warehouse modernization