In-memory databases (IMDB) are a type of database that stores data in the computer’s random access memory (RAM) rather than on a disk-based hard drive storage system. This allows for faster access to the data because it can be read and written to in real-time; largely due to the lack of mechanical parts.
In-memory databases were designed and optimized to be used in real-time applications, such as online transaction processing (OLTP) systems, customer relationship managers (CRM), and enterprise resource planning (ERP) software’s. They are also used in data warehousing and analytics applications, where they can provide faster reporting and real-time data visualizations, making it easier to identify outliers and provide actionable intel.
When data is stored in memory, it can be queried and processed much faster and even off site in the cloud. In-memory databases are also fully scalable; these systems can scale horizontally and integrate by leveraging high-availability clustering.
Due to the decreasing costs of memory (RAM) cloud computing and in-memory database systems have become increasingly popular. Many high-level ERP systems have began phasing out traditional relational databases in favor of cloud computing and in-memory solutions. Organizations have been increasing their investments into more long-term and scalable solutions; increasing efficiency and optimizing performance.
