An In-Memory Database (IMDB, also known as Main Memory Database or MMDB) is a database whose data is stored in main memory to facilitate faster response times. Source data is loaded into system memory in a non-relational compressed format. In-memory databases streamline the work involved in query processing.
An IMDB is a type of analytical database, which is a read-only system that stores historical metrics data for Business Intelligence/Business Analytics (BI/BA) applications, typically as part of a data warehouse. data or a data store. These systems allow users to run queries and reports on the information contained, which is regularly updated to incorporate recent transaction data from an organization’s operational systems.
In addition to providing extremely fast query response times, in-memory scanning can reduce or eliminate the need to index data and store pre-aggregated data in OLAP cubes or aggregate tables. This capability reduces IT costs and enables faster implementation of BI/BA applications.
Three developments over the past few years have made in-memory analysis increasingly feasible: 64-bit computing, multi-core servers, and falling RAM prices.
See also: big data analytics, association rules (in data mining), ad hoc analysis, unstructured data, data scientist, noise data, descriptive modeling, opinion mining – sentiment mining, deep analytics
This was last updated in August 2012
Expert Craig S. Mullins provides a detailed overview of the advantages and disadvantages of in-memory DBMS.
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