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  8. Effective, well-managed and scalable datacenters - enabled by Fujitsu SPARC Enterprise and Oracle 11g
Effective, well-managed and scalable datacenters - enabled by Fujitsu SPARC Enterprise and Oracle 11g

December 16th, 2008


Challenges in today’s datacenters


SPARC Enterprise M3000

With nothing seeming to stop the growth of high-speed networks, processor performance and the spread of information around the world; the potential for data to keep on being loaded into ever increasing databases continues. But if all of this is to remain practical, ways need to be found to maintain your IT spend within budgets and improve current server lifecycle, operations management and maintenance costs.

Fujitsu Limited and Oracle Corporation together have addressed these issues using a combination of Fujitsu SPARC Enterprise and Oracle 11g. They have partnered quad-core SPARC64™ VII processors, green technology, highly efficient operation and innovative licensing to radically reduce costs in the datacenter. The result is an improved cost performance ratio that needs your serious investigation.

For full details of the Fujitsu and Oracle verification tests, please refer to the white paper,  


Datacenter costs shrunk dramatically

Exceptional performance increase: 3.5x improvement

Figure : PRIMEPOWER 250 VS SPARC Enterprise M3000

Joint benchmark testing by Fujitsu and Oracle in Japan has proved that Fujitsu SPARC Enterprise M3000 with Oracle 11g outperforms previous SPARC/Solaris servers such as PRIMEPOWER 250 by a factor of 3.5. This means you can consolidate three existing PRIMEPOWER database servers into just one SPARC Enterprise M3000. This greatly simplifies your server operation, shrinks datacenter costs and provides some additional leeway for further growth.

Figure : Green IT Comparison of 4 core UNIX Servers

Total cost of ownership further reduced

While server consolidation onto high-performance SPARC Enterprise servers with shrink your datacenter costs; such consolidation will also benefit the following:

  • Reduce your power consumption and heat generation by more than 75%
  • Reduce your datacenter rack server footprint by up to 66%
  • Reduce your Oracle support licenses by 83%.
PRIMEPOWER 250
(2 chips / 2 cores / 2U)
SPARC Enterprise M3000
(1 chip / 4 cores / 2U)
Number of units 3 1
Power consumption (Watt) 1,890 460 (200VAC)
Heat generation (kJ) 6,804 1,656 (200VAC)
Space requirement 6U 2U
The number of Oracle support licenses
(Processor licenses) *
6 1

* These figures show number of Oracle Upgrade & support Licenses (Processor Licenses) for relevant server products. Both PRIMEPOWER 250 and SPARC Enterprise M3000 can use Oracle Standard One. Based on processor licensing requirements PRIMEPOWER 250 requires six, while SPARC Enterprise M3000 requires only one.


Highly scalable mission-critical server environments

Enhanced performance for large-scale databases

In managing all enterprise data, mission-critical database servers must also be able to manage data growth while ensuring fast data access. The combination of SPARC Enterprise and Oracle11g will provide you with the swift data access necessary for large-scale databases.

Fujitsu SPARC Enterprise provides the highly scalable platform

  • As business requirements grow the high computing performance of up to 256 cores will allow you to keep up. The high-end SPARC Enterprise M9000 server recently achieved the world record in the SAP SD 2-tier benchmark.
  • Optimized memory access performance, enabled by the SMP (Symmetric Multi Processor) architecture and dynamically scalable bus technology, also provides you with the best in linear performance scalability.

Oracle 11g provides the high performance database functions

  • Oracle Advanced Compression 
    Based on leading data compression functions this ensures memory and the network are used more effectively in processing your data queries. The database access times of your users will be considerably improved.
  • Automatic Storage Management
    The ability to configured the database across many disks will reduce disk-access bottlenecks and significantly improve your workload and disk-access performance.


Figures in this article are correct at their published date.