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MySQL Workbench is a visual database design tool that integrates SQL development, administration, database design, creation and maintenance into a single integrated development environment for the MySQL database system. It is the successor to DBDesigner 4 from fabFORCE.net, and replaces the previous package of software, MySQL GUI Tools Bundle.
Features. Legend. User Interface: Browser based - executes on a computer server and is accessed via a network using a web browser. desktop - executes on a personal computer. Create/alter table: Yes - can create table, alter its definition and data, and add new rows.
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.
Windows, Linux (Wine), macOS (via CrossOver) Data modeling is supported as part of a complete modeling platform. 2000. ER/Studio. Embarcadero (acquired by IDERA) SMBs and enterprises. Proprietary. Access, Snowflake, Microsoft Azure IBM Db2, Informix, Hitachi HiRDB, Firebird, Interbase, MySQL, MS SQL Server, Netezza, Oracle, PostgreSQL, Sybase ...
Oracle has its own spin where creating a user is synonymous with creating a schema. Thus a database administrator can create a user called PROJECT and then create a table PROJECT.TABLE. Users can exist without schema objects, but an object is always associated with an owner (though that owner may not have privileges to connect to the database).
MySQL Cluster is designed around a distributed, multi-master ACID compliant architecture with no single point of failure.MySQL Cluster uses automatic sharding (partitioning) to scale out read and write operations on commodity hardware and can be accessed via SQL and Non-SQL (NoSQL) APIs.
Database Workbench can be used to view, create and edit tables, indexes, stored procedures and other database meta data objects. It also supports: [19] visual database design/diagramming, both conceptual and physical, including reverse engineering. testing SQL queries and viewing query plans. step-by-step debugging of stored routines.
Creating complex queries using query-by-example (QBE) Searching globally in a database or a subset of it; Transforming stored data into any format using a set of predefined functions, like displaying BLOB-data as image or download-link; Live charts to monitor MySQL server activity like connections, processes, CPU/memory usage, etc.