![]() ![]() can only manage 200K while DataCore is delivering 1.2 million says DataCore at 100 per cent full IOPS utilization is faster than Hitachi at 10 per cent utilization.Įl Reg just wonders how much longer other storage vendors, both array and converged/hyper-converged, can carry on apparently ignoring DataCore's parallel server tech while it almost casually blows their products out of court in SPC-1 terms. If ~220 microseconds is a desired response time, then the Hitachi. Wendel points out that, looking at the Hitachi VSP G1000 (and HP's OEM'd equivalent) response times at various system loadings, "You can arbitrarily choose any response time, and DataCore will deliver 5x to 10x more IOPS at that response time. The second-placed Hitachi VSP G1000 is an HA setup.ĭataCore thinks its "new results are sure to send a wake-up call to a storage community obsessed with debating how to speed up latency-sensitive applications." These weren't even totally all-flash systems.Ī 2TB 5,400rpm SATA disk drive was the system disk drive for one system it was a 500GB SATA SSD for the other server.ĭataCore's Eric Wendel, Director, Technical Ecosystems Development, says the top scorer, a Huawei system, is not an HA configuration. The storage in each was 18 x 240GB 6Gbit/s Samsung SATA SSDs and 4 x 300GB 12Gbit/s HGST SAS disk drives. ![]() These were synchronously mirrored using 16Gbit/s FC. They ran Windows 2008 R2 Enterprise Server w/SP1. ![]() Each had 2 x Xeon 2.3GHz E5-2696 v3 processors with 18 cores and 45MB Intel Smart Cache, with 758GB of main memory. DataCore's configuration used a fully redundant, dual-node Fibre Channel Server SAN configuration running its SANsymphony storage software on a pair of off-the-shelf Intel-based servers, two Lenovo x3650 servers. Among other top-scoring systems costing more than a million dollars, the DataCore ones stand out for costing less than $150,000, a tenth or more less than Huawei and Hitachi arrays. MHRA 'SPC', All Acronyms, 13 February 2023, Bluebook All Acronyms, SPC (Feb. SPC, All Acronyms, viewed February 13, 2023, MLA All Acronyms. ![]() Retrieved February 13, 2023, from Chicago All Acronyms. Facebook Twitter Linkedin Quote Copy APA All Acronyms. ![]()
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