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Database Workbench supports the following relational databases: Oracle Database, Microsoft SQL Server, SQL Anywhere, Firebird, NexusDB, InterBase, MySQL, MariaDB, SQLite and PostgreSQL [14] [15] [16] Version 6 of Database Workbench is a 64-bit application for Windows platforms, previous versions were 32-bit. [17]
MySQL PostgreSQL MS SQL Server ODBC JDBC SQLite Other Programming language; DatabaseSpy: Altova: 2019-04-02: 2019r3 [1] Proprietary: Yes No No Yes Yes Yes Yes Yes Yes IBM Db2, Sybase, MS Access: C++: Database Workbench: Upscene Productions 2024-05-14 6.5.0 Proprietary: Yes needs Wine: needs Wine: Yes Yes Yes Yes Yes Yes InterBase, Firebird ...
Starting with MySQL Workbench 5.2 the application has evolved to a general database GUI application. Apart from physical database modeling it features an SQL Editor, database migration tools, and a database server administration interface, replacing the old MySQL GUI Tools Bundle.
MySQL (/ ˌ m aɪ ˌ ɛ s ˌ k juː ˈ ɛ l /) [6] is an open-source relational database management system (RDBMS). [6] [7] Its name is a combination of "My", the name of co-founder Michael Widenius's daughter My, [1] and "SQL", the acronym for Structured Query Language.
This database-as-a-service offering from MariaDB is a managed cloud service on Google Cloud Platform. SkySQL is a hybrid database offering that includes a column family store, object store, distributed SQL database with both a transactional and analytical query engine. The combination allows developers to use a single database for multiple use ...
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 ...
MySQL Cluster, also known as MySQL Ndb Cluster is a technology providing shared-nothing clustering and auto-sharding for the MySQL database management system. It is designed to provide high availability and high throughput with low latency, while allowing for near linear scalability. [ 3 ]
Conversely, PostgreSQL has applied more of the specification implementing cross-table, cross-schema, and then left room for future cross-database functionality. MySQL aliases schema with database behind the scenes, such that CREATE SCHEMA and CREATE DATABASE are analogs. It can therefore be said that MySQL has implemented cross-database ...