Process mining methods use data recorded by information systems to analyze the real execution of processes. This event data is stored in an event log, which is the main input to most process mining methods. The XES standard provides a uniform way to store event logs. OpenXES is the XES reference implementation, which is used widely by research tools. However, OpenXES is not scalable towards large event log. XESLite provides solutions to manage large event logs that are compatible with the OpenXES interfaces. Therefore, it can be used as drop-in replacement for existing algorithms. This presentation investigates the storage requirements of different types of event logs, describes XESLite, and contains a benchmark of XESLite and OpenXES based on real-life event logs.