Solution Performance

IBM dashDB Local* is a software-defined data warehouse for private clouds and virtual private clouds that support Docker container. The IBM Big Data Insights Internal Heavy Multiuser Workload* (BDInsights) is a multi-user data warehousing workload based on a retail environment. The workload is compute bound.

Product and Performance Information

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Testing conducted on IBM dashDB Local* software comparing Intel® Xeon® Platinum 8180 processor to 2S Intel® Xeon® processor E5-2699 v4. Testing by Intel and IBM. For complete testing configuration details, see next slide.
IBM dashDB Local*: dashDB Local v1.9. The IBM Big Data Insights Internal Heavy Multiuser Workload (BDInsights) is a multi-user data warehousing workload based on a retail environment. The workload is comprised with a mix of complex and intermediate queries. The scale factor for the workload is 300GB with 12 users. Testing by Intel® and IBM®. April/May 2017.
Baseline: 2S Intel® Xeon® processor E5-2699 v4, 2.2GHz, 22 cores, turbo, HT on, BIOS 0271.R00, 256GB total memory, 16 slots / 16GB / 2133 MT/s / DDR4 LRDIMM, 1 x 800GB Intel SSD DC S3700, Red Hat Enterprise Linux* 7.3 kernel 3.10.0-514.16.1.el7.x86_64.
New: 2S Intel® Xeon® Platinum processor 8180, 2.5GHz, 28 cores, turbo on, HT on, BIOS 00.0412, 384GB total memory, 24 slots / 16GB / 2677 MT/s / DDR4 LRDIMM, 1 x 800GB Intel SSD DC S3700, Red Hat Enterprise Linux* 7.3 kernel 3.10.0-514.16.1.el7.x86_64.

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Software and workloads used in performance tests may have been optimized for performance only on Intel® microprocessors. Performance tests, such as SYSmark* and MobileMark*, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more complete information about performance and benchmark results, visit http://www.intel.com/benchmarks.