Elisabeth Stahl on Benchmarking and IT Optimization

Oracle, what’s in an SAP name ?

with one comment

Today Oracle published a press release, once again claiming another “world-record” SAP benchmark result. Let’s understand what’s behind this one.

Oracle compares SAP SD Parallel benchmark data with SAP SD standard data. Note that these benchmarks are different benchmarks and have very different data distributions. As highlighted on the SAP website for these benchmarks “it is generally accepted that data distribution can significantly influence the benchmark result.”

Like Larry and Leonard, the benchmarks clearly have different names — SD vs. SD-Parallel. For a reason. The benchmarks are located on different SAP web page listings — for a reason.

IBM has the #1 result on the very popular and well-recognized SAP benchmark, the SD 2-tier benchmark. (1)

And even if we were to agree to be ignorant and compare an SD benchmark result with an SD-Parallel benchmark result — does using 87% more cores (as Oracle does) to get 6% more users sound right to you?


(1) Two-tier SAP SD standard application benchmark: 126,063 SAP SD benchmark users, 0.98 seconds average dialog response time, 13,772,670 fully processed order line items per hour, 41,318,000 dialog steps per hour, 688,630 SAPS. Average database request time (dialog/update): 0.011 sec / 0.024 sec. CPU utilization of central server: 96 percent. Server configuration: IBM Power 795, 32 processors / 256 cores / 1024 threads, POWER7, 4.00 GHz, 32 KB (I) and 32 KB (D) L1 cache and 256 KB L2 cache per core, 4 MB L3 cache per core, 4096 GB main memory gain running AIX 7.1 operating system, DB2 9.7 and SAP enhancement package 4 for SAP ERP 6.0. Certification number: 2010046 vs. Two-tier SAP SD-Parallel: 134,080 SAP SD-Parallel benchmark users, 0.87 seconds average dialog response time, 14,805,000 fully processed order line items per hour, 44,415,000 dialog steps per hour, 740,250 SAPS, 0.011 seconds/0.048 seconds average dialog response time (dialog/update). CPU utilization of servers, 92% (node 1 active: 89%, node 2 active: 93%, node 3 active: 93%, node 4 active: 93%, node 5 active: 92%, node 6 active: 92%). Server configuration: 6 Sun Fire X4800 servers each with 8 processors / 80 cores / 160 threads, Intel Xeon Processor E7-8870, 2.40 GHz, 64 KB L1 cache and 256 KB L2 cache per core, 30 MB L3 cache per processor, 512 GB main memory, Solaris 10 operating system, Oracle Database 11g Release 2 with Oracle Real Application Clusters, SAP enhancement package 4 for SAP ERP 6.0. Certification Number 2011036.

Source: Results current as of 9/13/11.

SAP, mySAP and other SAP product and service names mentioned herein as well as their respective
logos are trademarks or registered trademarks of SAP AG in Germany and in several other countries all
over the world.

The postings on this site solely reflect the personal views of the author and do not necessarily represent the views, positions, strategies or opinions of IBM or IBM management.

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Written by benchmarkingblog

September 13, 2011 at 11:35 am

Posted in Oracle, POWER7, SAP, SD-Parallel

Tagged with , , ,

One Response

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  1. Why do you think than sap-parallel have different data distribution ?


    September 14, 2011 at 3:35 pm

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