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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Device Combinations 1,182,8541,2 Unpublished 59,0003
Hardware Device Profiles 52,6421 >50,0004 Unpublished
Platform Performance
(detections per second)
4 Core Arm 1.2 Million5 Unpublished Unpublished
2 Core Intel 3.4 Million5 1.7 Million6 Unpublished
20 Core Intel 22 Million5 Unpublished Unpublished
Average Time for a Single Detection From 0.0009ms5,7 Unpublished Unpublished
Start Up Time From 224ms8 Unpublished Unpublished
Accuracy >99.9%9 99.9%10 99%3
Memory Overhead (From disk) As low as 1MB5 Unpublished Unpublished
Memory Overhead (From memory) 114MB5 400MB11 Unpublished
Data Sources Vendors and optional anonymous global usage sharing12 goMobi10 Unpublished
Multiple Environments Indexed for web, native apps, and mobile operator environments10,13 Unpublished
File Format Binary JSON XML
Confidence Indicators (false positives) Yes No No
Secure. On Premise Yes Yes Yes
Open Source Yes14 No No
Regular Expressions No Yes Yes
Transparent On Premise Pricing Yes15 No No
Free Trial - Complete Dataset Access Yes Yes No16
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All competitor information accurate at 30th November 2018 unless otherwise stated.
1 Combinations of hardware, operating system and web browser.
2 See 51Degrees Device Explorer for a full list of devices.
3 Source: ScientiaMobile WURFL OnSite Device Detection.
4 Source: DeviceAtlas About our data.
5 Read "51Degrees: More Than Three Times Faster!" for more information about the hardware and the data used in these performance tests.
6 Source: DeviceAtlas API Performance.
7 On premise device detection using a single CPU thread.
8 See Java benchmarks for more information.
9 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.
10 Source: DeviceAtlas Why DeviceAtlas.
11 Source: DeviceAtlas Memory footprint Note: The figure used is when all properties are loaded.
12 See "How Device Data is Maintained and Distributed" for more information.
13 Read "51Degrees Announces Native App Device Detection Capability" for more information.
14 See the 51Degrees Github repository.
15 See the 51Degrees Licensing and Pricing for more information.
16 Source: ScientiaMobile Free Trial