You should be careful about using huge ids as this could require larger amounts of memory. Using Redis bitmaps you can store events for millions of users in a very little amount of memory (megabytes). This library is very easy to use and enables you to create your own reports easily. How many % of users that were active last month are still active this month?.How many % of users that were active last week are still active?.How many unique users have performed action "X" this week?.How many users have been active this month? This hour?.Has user 123 been online today? This week? This month?. This Python library makes it possible to implement real-time, highly scalable analytics that can answer following questions: bitmapist: a powerful analytics library for Redis It's fully compatiable with bitmapist that runs on Redis. NEW! Try out our new standalone bitmapist-server, which improves memory efficiency 443 times and makes your setup much cheaper to run (and more scaleable).
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