Applix, a global provider of business performance management (BPM) and business intelligence (BI) applications, has expanded the platforms on which its flagship performance management application, TM1, is available to include support for the Windows 2003 x64 platforms.
The expanded capabilities demonstrate Applix's ongoing commitment to help customers expand their use of TM1 for performance management applications throughout the organisation, while leveraging the compelling price and performance benefits of the Windows 2003 x64 platform.
"Applix TM1 is used by global companies for analysing and reporting on extremely large data sets, often in realtime," says Greg Bogiages, director of South African Applix distributor Cortell Business Solutions. "By adding support for the Windows 2003 x64 platform, Applix is expanding the amount of information TM1 can process, while giving our prospects and customers a lower cost of ownership for 64-bit platforms."
64-bit computing increases the strategic value of IT resources, providing greater physical and virtual memory, for new levels of performance and scalability. By combining this improved performance and scalability of 64-bit processors with TM1's memory-centric technology, Applix is now meeting the demand of large enterprises needing realtime and right-time analysis of large data sets. TM1 users cache disk-resident data from popular databases including Oracle and SQL Server into TM1's memory-centric database to facilitate rapid analytics, reporting, and "what-if" scenario planning and modelling.
TM1 has a proven track record in working with large data sets.
Examples of other customers currently using Applix TM1 on 64-bit platforms include:
* An international satellite-based telecommunications company, which processes 60 million transactions daily from 30 source systems into a 60 Gigabyte TM1 database with tens of millions of members in its customer dimension;
* A large energy company uses the 64-bit version of TM1 for a wide variety of reporting, analysis and planning applications, including the immensely complex business problem of modelling power purchase agreements, which are contracts to buy and sell energy between third parties. The application has intensive, complex calculations and 75 000 time periods for realtime "what-if" modelling in multiple scenarios; and
* An international airline's cargo division uses TM1 on the 64-bit platform for customer planning, customer profitability, freight letter analysis, point-to-point parcel optimisation and scheduling.
TM1 applications provide cost-effective and speedy access to multidimensional viewing, analysis and reporting on large amounts of data.
Some of Applix's customers already rely on TM1 for analysing extremely large amounts of data - such as daily mobile phone calls, global oil production, country-specific energy usage and credit card data analysis. These customers have turned to 64 bit platforms to support these massive data sets.
In-memory processing speeds results
As corporate IT departments continue to seek ways to lower costs of ownership and add more processing speed, in-memory, or memory-centric computing, is a practical solution. According to US columnist and industry analyst Curt Monash, "accessing data from memory can be 200 to one million times faster than disk".
TM1's memory-centric OLAP (online analytical processing) data management technology has been rated as the fastest in queries and data load/calculations in the OLAP Survey 5.
TM1's purpose-built memory-centric data management technology takes full advantage of the RAM scalability provided by Win x64, enabling performance management applications using extremely large datasets. Whereas 32-bit servers can manage a maximum of less than four Gigabytes of in-memory data, 64-bit servers routinely handle 100 Gigabytes and more of in-memory data.
By combining TM1's memory-centric approach with the improved performance and scalability of 64-bit processors, and by adding support for Windows 2003 x64 platforms, Applix is enabling customers to work with increasingly larger data sets, while enabling them to buy more cost-effective hardware on which to run TM1.
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