Evonik Lowers TCO for In-Memory Analytics

Evonik partnered with Intel, SAP, and Accenture to demonstrate the value of Intel® Optane™ DC persistent memory for SAP HANA*.

At a Glance:

  • Evonik is a world-wide leading specialties chemicals company that produces sophisticated chemicals for 3D printing and more.

  • In a proof of concept in Accenture's Global SAP HANA* Center of Excellence, using Intel® Optane™ DC persistent memory and 2nd Generation Intel® Xeon® Scalable processors, data table reloads after server restarts were 17 times faster.1

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Featured content from our partner, Accenture.

Product and Performance Information

1

SAP HANA* simulated workload for SAP* BW edition for SAP HANA* Standard Application Benchmark Version 2 as of 30 May 2018. Baseline configuration with traditional DRAM: Lenovo ThinkSystem SR950* server with 8x Intel® Xeon® Platinum 8176M processors (28 cores, 165 watt, 2.1 GHz). Total memory consists of 48x 16GB TruDDR4* 2,666 MHz RDIMMs and 5x ThinkSystem* 2.5” PM1633a 3.84 TB capacity SAS 12Gb hot-swap solid-state drives (SSDs) for SAP HANA* storage. The operating system is SUSE* Linux* Enterprise Server 12 SP3 and uses SAP HANA* 2.0 SPS 03 with a 6TB dataset. Average start time for all data finished after table preload for 10 iterations: 50 minutes.
New configuration with a combination of DRAM and Intel® Optane™ DC persistent memory: Intel Lightning Ridge SDP with 4x CXL QQ89 AO processor (24 cores, 165W, 2.20 GHz). Total memory consists of 24x 32GB DDR4* 2666 MHz and 24x 128GB AEP ES2, and 1x Intel® SSD DC S3710 Series 800GB, 3x Intel® SSD DC P4600 Series 2.0TB, 3x Intel® SSD DC Series S4600 1.9TB capacity. BIOS version WW33’18. The operating system is SUSE* Linux* Enterprise Server 15 and uses SAP HANA* 2.0 SPS 03 (a specific PTF Kernel from SUSE was applied) with a 1.3TB dataset. Average start time for optimized tables preload (17x improvement).