This page provides guidance figures for detection speeds, memory usage and startup times for Pattern and Trie algorithms. Pattern is more memory efficient and can be run directly from disk while Trie requires considerably more main memory but delivers millions of detections per second. For more information check out the how device detection works page.

Results stated are detections per core on a quad core i7 2.2GHz CPU.

Below is a table of performance metrics relating to the GoLang Pattern API. It shows the detection speed for a single request for each data set and where applicable also the mode of operation used.

 

	Lite	Premium	Enterprise
Detections Per Second	45454	40000	47619
Time Per Detection (ms)	0.022	0.025	0.021

 

	Lite	Premium	Enterprise
Startup Time (ms)	416	1014	1212
Average Memory Usage (Mb)	45.5	100.5	134.5

Below is a table of performance metrics relating to the GoLang Hash Trie API. It shows the detection speed for a single request for each data set and where applicable also the mode of operation used.

 

4 Threads	Lite	Premium	Enterprise
Detections Per Second	2,234,919	2,294,669	2,303,404
Time Per Detection (ms)	0.000448	0.000437	0.000435

 

	Lite	Premium	Enterprise
Startup Time (ms)	31	34	35.5
Average Memory Usage (Mb)	134	154	163