An in-memory database is not a new concept. However, it is associated too closely with terms like "cache" and "non-persistent". In this article, I want to challenge these ideas. In-memory solutions have much wider use cases and offer higher reliability than it would seem at a first glance.
I want to talk about the architectural principles of in-memory databases, and how to take the best of the "in-memory world"— incredible performance — without losing the benefits of disk-based relational systems. First of all, how to ensure data safety.