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This is a comparison between notable database engines for the MySQL database management system (DBMS). A database engine (or "storage engine") is the underlying software component that a DBMS uses to create, read, update and delete (CRUD) data from a database.
List of relational database management systems; Comparison of object–relational database management systems; Comparison of database administration tools; Object database – some of which have relational (SQL/ODBC) interfaces. IBM Business System 12 – an historical RDBMS and related query language.
The following tables compare general and technical information for a number of available database administration tools. Please see individual product articles for further information. This article is neither all-inclusive nor necessarily up to date. Systems listed on a light purple background are no longer in active development.
List of Relational Database Management Systems (Alphabetical Order) Name License 4th Dimension: Proprietary Access Database Engine (formerly known as Jet Database Engine) Proprietary Actian Zen (PSQL) (formerly known as Pervasive PSQL) Proprietary Adabas D: Proprietary Airtable: Proprietary Altibase: Proprietary Amazon Aurora: Proprietary ...
Download as PDF; Printable version; In other projects Wikidata item; Appearance. ... Comparison of multi-model databases; Comparison of MySQL database engines; O.
Proprietary, with a free-to-use edition (Polyhedra Lite) Relational (SQL, ODBC, JDBC) in-memory database system originally developed for use in SCADA and embedded systems, but used in a variety of other applications including financial systems. Supports data durability via snapshots and journal logging, and high availability via a hot-standby.
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 DB-Engines Ranking ranks database management systems by popularity, covering over 410 systems. The ranking criteria [1] include number of search engine results when searching for the system names, Google Trends, Stack Overflow discussions, job offers with mentions of the systems, number of profiles in professional networks such as LinkedIn, mentions in social networks such as Twitter.