How do we compare?

DeviceAtlas and ScientiaMobile Comparisons

We're often asked how we compare to other device detection suppliers. Using industry-defined key metrics, we've compiled this handy comparison table. These figures are constantly updating, so be sure to refer to the footnotes.

Key metrics 51Degrees DeviceAtlas ScientiaMobile /WURFL TM
Device combinations 2,269,2741 Unpublished Unpublished
Active web device profiles 55,4502 Unpublished Unpublished
All hardware device profiles 79,8383 >75,0005 95,0004
TAC coverage 98.44 %19 Unpublished Not available
Duplicate TACs identified 2.29 % Unpublished Not available
Platform performance
(detections per second)
4 core Arm 1.2 Million6 Unpublished Unpublished
2 core Intel 3.4 million6 1.7 million7 Unpublished
20 core Intel 22 million6 Unpublished Unpublished
Average time for a single detection From 0.0004ms6 Unpublished Unpublished
Start up time From 224ms8 Unpublished Unpublished
Accuracy >99.9%9 99.9%10 >99%17
Memory overhead (from disk) As low as 1MB6 Unpublished Unpublished
Memory overhead (from memory) 114MB6 400MB11 73MB16
Data sources Real devices, vendors, and
optional anonymous global
usage sharing9
Multi-sourced device data10 Unpublished
Multiple environments Indexed for web, native apps,
and mobile operator environments12
Indexed for web, native apps,
and mobile operator environments10
File format Binary JSON XML
Confidence indicators (false positives) Yes No No
Secure. On-premise Yes Yes Yes
Open-source Yes13 No No
Regular expressions No Yes Yes
Transparent pricing Yes14 No No
ISO Accreditations 9001 & 2700118 None None
Free trial - complete dataset access Yes Yes No15
  Start Free Trial DeviceAtlas WURFL

All competitor information accurate as of 13 March 2023 unless otherwise stated.

  1. Combinations of hardware, operating system, and web browser.

  2. The number of profiles that relate to devices that have been active on the web during the past 12 months.

  3. The number of devices contained within 51Degrees including those that are either inactive on the web or do not connect to the web (i.e. IoT devices).

  4. Source: ScientiaMobile.

  5. Source: DeviceAtlas About our data.

  6. Result is calculated from a configuration that detects the 'IsMobile' property only and returns its value. Read "51Degrees: More Than Three Times Faster!" for more information about the hardware and the data used in these performance tests.

  7. Source: DeviceAtlas API Performance.

  8. See benchmarks for more information.

  9. Real devices contributed by the 51Degrees Contributor. 51Degrees data processing system contains hundreds of millions of unique HTTP headers including crawlers, apps and web browsers. Less than 1.75% of the total available headers form a training data set which is used with machine learning techniques 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. Read "51Degrees Announces Native App Device Detection Capability" for more information.

  13. See the 51Degrees Github repository.

  14. See the 51Degrees pricing for more information.

  15. Source: ScientiaMobile Free Trial

  16. Source: ScientiaMobile Superior Speed and Accuracy: The New Wurfl InFuze

  17. Source: ScientiaMobile Accuracy of our Device Intelligence.

  18. 51Degrees became the first commercial open source company in the device detection game to achieve a duo of ISO 9001 and 27001 standards for quality and information security management. Read more about how and why we embraced ISO.

  19. Our database covers 98.44 % of active devices (all that are currently significant and verifiable in the real world).