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GitHub CodeQL vs Illumine IT disk-benchmark

GitHub CodeQL

codeql.github.com

Illumine IT disk-benchmark

github.com

Side by side

FigureGitHub CodeQLIllumine IT disk-benchmark
Price from$30/moFree
Free planYesYes
Free trial——
Open source——
WebYes—
WindowsYesYes
macOSYes—
LinuxYesYes
Self-hostedYes—
Plans published51
Spec score · Disk Benchmark Software8.3 (#4)7.3 (#20)
PurposeCodeQL is a language and toolchain for code analysis that treats code as data.A lightweight console program for benchmarking hard drives, SSDs, SAN disks, HBAs, RAID adapters, and storage controllers.

Plans

GitHub CodeQL

  • Free for research and open sourceFree
  • GitHub Code Security$30 a month
  • CodeQL for open source and researchFree
  • GitHub Code Security$30 a month
  • GitHub Free with CodeQL code scanningPrice not published

GitHub CodeQL pricing →

Illumine IT disk-benchmark

  • disk-benchmarkFree

Illumine IT disk-benchmark pricing →

In their own words

GitHub CodeQL

GitHub CodeQL has no write-up on Specifiction yet; its figures are above.

Visit codeql.github.com

Illumine IT disk-benchmark

Illumine IT disk-benchmark is a lightweight console program for benchmarking hard drives, SSDs, SAN disks, HBAs, RAID adapters and storage controllers. It can test physical or virtual disks that are local or remote, using multiple threads to simulate concurrent reads and writes. Test options include random file sizes, random delays, write-only runs and configurable read and write buffer sizes. Results show read and write timings per thread and as averages, summary results, and CPU and wall time. Output can be reduced to values for spreadsheet use, and the program can print system I/O information to help set buffer sizes. Continuous runs can monitor cloud-drive QoS, disk replication and active/passive RAID swaps. The tool is free and described as an open-source C command-line program. Listed platforms are Linux and Windows; its broader supported-platform list also names POSIX and MS-DOS. Linux build instructions require GCC and list POSIX Threads as the only dependency. The README warns that continuous runs with many threads, large files and no delay can fill the tested disk and cause high CPU load.

Visit github.com