How to interpret discrepancies between google analytics and flurry analytics data?

Question

Google Analytics

Hello! I have a question for analysts. Has anyone experienced data discrepancy between google analytics and flurry? We currently use these two systems for our application, and the discrepancies in the data between them are significant. For example, the average session when working with the Google Analytics application fixes at the level of 8 minutes, and according to Flurry, only 2.5 minutes. If we take the execution of one action, look in detail at the average duration of its execution by one user on a specific date, again different results are issued, and the difference is huge. Flurry writes, for example, 12 seconds, and Google Analytics - 2.5 minutes. Which system to trust? Or somewhere a mistake was made when setting up events?