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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 .
The problem that arises is that former MySQL users will create multiple databases for one project. In this context, MySQL databases are analogous in function to PostgreSQL-schemas, insomuch as PostgreSQL deliberately lacks off-the-shelf cross-database functionality (preferring multi-tenancy) that MySQL has.
Visual schema/E-R design: the ability to draw entity-relationship diagrams for the database. If missing, the following two features will also be missing; Reverse engineering - the ability to produce an ER diagram from a database, complete with foreign key relationships
This is a comparison of object–relational database management systems (ORDBMSs). Each system has at least some features of an object–relational database ; they vary widely in their completeness and the approaches taken.
MySQL Cluster is implemented through the NDB or NDBCLUSTER storage engine for MySQL ("NDB" stands for Network Database). MySQL Federated – allows a user to create a table that is a local representation of a foreign (remote) table. It utilizes the MySQL client library API as a data transport, treating the remote data source the same way other ...
Highly available distributed real-time in-memory NoSQL database. Often used with MySQL for SQL cross-shard parallel query processing. OmniSci: OmniSci (formerly MapD) 2013 Open Source (Apache License 2.0) GPU-accelerated, SQL database and visualization platform for real-time analytics. Product consists of the core database plus a BI ...
MySQL (/ ˌ m aɪ ˌ ɛ s ˌ k juː ˈ ɛ l /) [5] is an open-source relational database management system (RDBMS). [5] [6] Its name is a combination of "My", the name of co-founder Michael Widenius's daughter My, [7] and "SQL", the acronym for Structured Query Language.
Many of these database companies use the same name for their file format as they do for their database (including Copac, CSA, ISI, Medline, Ovid, PubMed, and SciFinder). For the ability to retrieve citations from the particular databases (rather than the file format), please refer to the database connectivity table that is below this table.