In-memory databases (IMDBs) offer improved performance compared to traditional databases by storing data in RAM, reducing the need for disk access and enabling faster query processing. IMDBs are particularly useful for applications that require rapid response times, such as game leaderboards or real-time analytics. However, they can struggle with large amounts of data, concurrency, and analytic workloads. SingleStore is a modern database that leverages an in-memory architecture while also supporting data warehouse workloads through its tiered storage model, providing fast performance for both transactional and analytical applications.