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Open source in-memory graph database designed for knowledge graph representation [13] TimesTen: now Oracle Corporation: 1997 Java, JDBC, ODBC, SQL, PLSQL, C Proprietary Standalone database or in-memory cache for Oracle Database: TPF (Transaction Processing Facility) IBM 1979 Marketed Generalized extension of IBM Airlines reservation system. IBM ...
In software engineering, in-memory processing is a software architecture where a database is kept entirely in random-access memory (RAM) or flash memory so that usual accesses, in particular read or query operations, do not require access to disk storage. [2]
An in-memory database (IMDb, or main memory database system (MMDB) or memory resident database) is a database management system that primarily relies on main memory for computer data storage. It is contrasted with database management systems that employ a disk storage mechanism. In-memory databases are faster than disk-optimized databases ...
In computer programming, create, read, update, and delete (CRUD) are the four basic operations (actions) of persistent storage. [1] CRUD is also sometimes used to describe user interface conventions that facilitate viewing, searching, and changing information using computer-based forms and reports.
List of column-oriented DBMSes that store data tables by column rather than by row; List of in-memory databases, which primarily rely on main memory for computer data storage; See Category:Database management systems for a complete lists of articles about database management systems.
The eXtremeDB high availability edition supports both synchronous (2-safe) and asynchronous (1-safe) database replication, with automatic failover. [9] eXtremeDB Cluster edition provides for shared-nothing database clustering. eXtremeDB also supports distributed query processing, in which the database is partitioned horizontally and the DBMS distributes query processing across multiple servers ...
This means that methods, private or public, can be associated with data performing operations on them without involving the application." [ 7 ] Polyhedra is not a general-purpose DBMS, as the restricted transactional model does not meet all needs, and its fault-tolerance model is based on the hot-standby approach (to minimise hardware costs ...
In-database processing, sometimes referred to as in-database analytics, refers to the integration of data analytics into data warehousing functionality. Today, many large databases, such as those used for credit card fraud detection and investment bank risk management, use this technology because it provides significant performance improvements over traditional methods.