In-Memory Databases


In-memory databases are database management systems that primarily rely on main memory for computer data storage instead of a disk storage mechanism. This allows for faster data access and retrieval, as data is stored and accessed directly from the computer's RAM. In-memory databases are particularly useful for applications that require real-time data processing and analysis, such as financial trading systems, fraud detection, and online gaming. They are also commonly used in big data analytics and machine learning applications, where large datasets need to be processed quickly. In-memory databases can be implemented in both relational and non-relational database models.


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