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MySQL Workbench is the first MySQL family of products that offer two different editions - an open source and a proprietary edition. [31] The "Community Edition" is a full featured product that is not crippled in any way.
Database Workbench started out as a developer tool specifically for InterBase, "InterBase Workbench", initially modeled after the SQL Navigator tool for Oracle Database by Quest Software. [4] [5] During its early years, InterBase became open-source for a short while, and soon after Firebird was created as a fork from the InterBase code base.
MySQL Connector/ODBC, once known as MyODBC, is computer software from Oracle Corporation. It is an ODBC interface and allows programming languages that support the ODBC interface to communicate with a MySQL database.
MySQL, Oracle, Windows, macOS, Linux Standalone 2006 Database Workbench: Upscene Productions SMBs and enterprises Proprietary: MS SQL Server, MySQL, Oracle, Firebird, InterBase, SQL Anywhere, NexusDB, MariaDB: Windows, Linux and FreeBSD (both through Wine) Standalone 2001 DbSchema: Wise Coders GmbH: SMBs and enterprises Proprietary
DSNs collect additional information needed to connect to a specific data source, versus the DBMS itself. For instance, the same MySQL driver can be used to connect to any MySQL server, but the connection information to connect to a local private server is different from the information needed to connect to an internet-hosted public server. The ...
MySQL Workbench – official (yet 3rd-party developed) integrated environment for MySQL. It was developed by MySQL AB, and enables users to graphically administer MySQL databases and visually design database structures. Adminer – free MySQL front end capable of managing multiple databases, with many CSS skins available. It is a light-weight ...
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.
Without connection pooling mechanisms (e.g., HikariCP, pgbouncer), idle or excessive connections can strain database resources. Virtual Machine-Based Environments: AWS EC2 instances scale connection demand with the number of instances. Manual or automated tuning of connection pool parameters is essential to prevent exceeding database limits.