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Flash-optimized in-memory open source NoSQL database. ALTIBASE HDB: Altibase Corporation 1999 Java, C, C++, JDBC, ODBC, SQL Proprietary Altibase is a hybrid DBMS that combines an in-memory database with a conventional disk-resident database in a single unified engine.
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-memory processing may be of particular benefit in call centers and warehouse management. With in-memory processing, the source database is queried only once instead of accessing the database every time a query is run, thereby eliminating repetitive processing and reducing the burden on database servers.
solidDB includes an in-memory database as well as a traditional disk based database, which both employ the same SQL interface, and a high availability option. Both in-memory and disk based engines coexist inside the same server process, and a single SQL statement can access data from both engines.
TimesTen is an in-memory database that provides very fast data access time. It ensures that all data will reside in physical memory (RAM) during run time. This allows its internal search and data management algorithms used to be simplified, resulting in very low response times even on commodity hardware.
keep the working copy of the data in-memory (though there is now a variant that keeps the data in a flash-based file); use a client–server architecture to protect the data from corruption by rogue application code; have an 'active query' mechanism to update client applications when relevant database changes occur;
solid DB is a hybrid on-disk/in-memory, relational database and is often used as an embedded system database in telecommunications equipment, network software, and similar systems. In-memory database technology is used to achieve throughput of tens of thousands of transactions per second with response times measured in microseconds.
It is possible to create both in-memory tables, as well as disk-based tables. Tables can be persistent or temporary. Index types are hash table and tree for in-memory tables, and b-tree for disk-based tables. All data manipulation operations are transactional. Table level locking and multiversion concurrency control are implemented.