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RAID Report: Six Seagate 600 Pro 200GB SSDs Tested - Benchmarks - Anvil Storage Utilities

RAID Report: Six Seagate 600 Pro 200GB SSDs Tested
Today we examine what happens when you pair six powerful, light enterprise Seagate 600 Pro 200GB SSDs with Intel Haswell SATA III ports in RAID 0. (NASDAQ:STX)
By: | RAID in Storage | Posted: Feb 7, 2014 10:01 pm

Anvil Storage Utilities


Version and / or Patch Used: RC6


So what is Anvil Storage Utilities? It's a storage benchmark for SSDs and HDDs that allows you to check and monitor your performance. The Standard Storage Benchmark performs a series of tests; you can run a full test, or just the read or the write test, or you can run a single test (i.e. 4K QD16).


The software is used several different ways, and to show different aspects for each drive. We've chosen to use this software to show the performance of a drive with two different data sets. The first is with compressible data, and the second data set is incompressible data. Several users have requested this data in our SSD reviews.


0-Fill Compressible Data




There's not a whole lot of difference between the overall score of three through six drive arrays.



0-Fill Compressible Read IOPS through Queue Depth Scale




When we look at the IOPS curve between arrays, we see that the four through six drive arrays do have slightly more performance as queue depth increases.



0-Fill Compressible Write IOPS through Queue Depth Scale




Write performance peaks at QD4 for all of our arrays. Performance increases slightly as you add drives to a three drive array.


Compression 100% Incompressible Data




Incompressible scoring is pretty much the same as compressible scoring.



Incompressible Read IOPS through Queue Depth Scale




Read IOPS charting of incompressible data mirrors that of compressible data.


Incompressible Write IOPS through Queue Scale




All of our arrays perform similar at QD1, QD8, QD16, and QD32. Differences in performance of our three through six drive arrays occur at QD2 - QD4. Performance at QD2 to QD4 is significant to your array's overall performance throughput.

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