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Competitor Comparison

Device Detection Comparisons

Since launching our device detection solutions we have redefined the market, not only in terms of performance and quality of detection but also the breadth of our device data. We are often asked how we compare to other device detection suppliers, so using industry defined key metrics; we have compiled the following comparison table. These figures are constantly updating, so be sure to refer to the footnotes.

Key Metrics 51Degrees DeviceAtlas ScientiaMobile /WURFL TM
Device Combinations 595,6501,2 Unpublished Unpublished
Hardware Device Profiles 39,7991,3 26,0004 Unpublished
Platform Performance
(detections per second)
4 Core Arm 0.5 Million3 Unpublished Unpublished
2 Core Intel 1 to 1.9 Million3 1.7 Million5 Unpublished
20 Core Intel 7 to 15 Million3 Unpublished Unpublished
Average time for a single detection Up to 0.002ms3,6 Unpublished Unpublished
Accuracy 99.9%3,7 99.9%5 Unpublished
Memory Overhead From 26MB8 Unpublished9 Unpublished
Secure. On Premise Yes Yes Yes
File Format Binary JSON XML
Regular Expressions No Yes Yes
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All competitor information accurate at 19th December 2016 unless otherwise stated.
1 Combinations of hardware, operating system and web browser.
2 See 51Degrees Device Explorer for a full list of devices.
3 Read "Device Detection Performance Analysis"for more information about the hardware and the data used in these performance tests.
4 Source: DeviceAtlas About our data.
5 Source: DeviceAtlas API Performance.
6 On premise device detection using a single CPU thread.
7 51Degrees data processing system contains more than 150,000,000 unique HTTP headers including crawlers, apps and web browsers. 1.75% of the total available headers are used with the Pattern method to achieve 99.9% or greater device detection accuracy when compared to the full data set.
8 See Java benchmarks for more information.
9 DeviceAtlas claim their file size is 9MB, however this is not an indication of the memory used. 51Degrees can function without the full data file being loaded into memory.