Moving data between RAM and disk is expensive both in terms of runtime performance but also developer productivity. A relational model, stored procedures, data access code and O/R mapping all add complexity and require significant time and effort to maintain.A solution based on a pure in-memory technology eliminates all or some of this extra work reducing both cost and time to market. Using a hybrid, such as Sql Server Hekaton, you can benefit from in-memory performance without sacrificing existing investments in existing RDBMS based architecture. In this session, Robert introduces OrigoDB, Redis and Sql Server Hekaton, demonstrates an application based on each of them and discusses the pros and cons of each approach.