In-memory technology adoption is increasing rapidly due to growing demands for real-time data access and analytics, as well as rising transaction volumes globally. Companies are seeking faster ingest and analytics engines to stay competitive in the on-demand economy, where performance inconsistencies can be a major disadvantage. As users and businesses need access to more data, companies must evaluate their business needs and select an appropriate in-memory solution, such as a pure in-memory database or a disk-based/persistent database with an in-memory column store. The current state of in-memory computing is characterized by diverse systems that offer varying benefits and use cases, including classification, business advantages, leading use cases from corporations, and predictions for future developments.