The Power of Simplicity
IBM Netezza data warehouse appliances (link resides outside of ibm.com) combine server, storage, and database into high-performance appliances that are purpose-built to make advanced analytics on big data simpler, faster and more accessible.
With simple deployment, out-of-the-box optimisation, no tuning and minimal on-going maintenance, IBM Netezza data warehouse appliance have the industry’s fastest time-to-value and lowest total-cost-of-ownership.
IBM Netezza Breakfast Event - Sydney
Join us in Sydney on November 22 for the IBM Netezza Breakfast Event - dedicated entirely to appliances for data warehousing and analytics. Engage with peers to share ideas, learn best practices from industry thought-leaders, hear from Australian Netezza customers, the latest product updates and more.
Click here for more details or to register
See how IBM Netezza data warehouse appliances solve big data challenges in your industry.
Digital Media
Deliver the right message at the right time
Telecommunications
The standard for fast, cost-effective data analysis
Health & Life Sciences
Analytic capability to keep pace with fast growing data volumes
Government
Quickly perform complex, mission-critical analysis
Retail
Maximise ROI with the Retail Analytic Appliance
Financial Services
Analytic power to stay ahead of complex regulations
Energy
Optimise distribution of utilities and energy
Tour the data warehouse appliance
Competitive Comparison
Better understand the Netezza TwinFin competitive advantages over Oracle's Exadata
In Their Own Words
Watch Nielsen's Greg Goff explain how the analytic power of the Netezza TwinFin has transformed their business
Data Warehouse Appliances
Easily deploy high-performance data analytics across your entire enterprise
Simple is Better
Bringing simplicity to advanced analytics, IBM Netezza data warehouse appliances help you realise the full potential of your data in previously unthinkable ways, fueling entirely new, game-changing ways of working.
The Data Warehouse Appliance
Find out how leading companies spend more time getting insight from their data, rather than managing it.
