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MySQL Workbench is a visual database design tool that ... additional query result views, ... improved SQL auto-completion, a new table data import and export wizard ...
Yes - can create table, alter its definition and data, and add new rows; Some - can only create/alter table definition, not data; Browse table: Yes - can browse table definition and data; Some - can only browse table definition; Multi-server support: Yes - can manage from the same window/session multiple servers
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
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 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 .
Supported Database Platforms Supported OSs Standalone or bundled into a larger toolkit Launch Date Astah: Change Vision: Enterprises Proprietary: 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 ...
A true fully (database, schema, and table) qualified query is exemplified as such: SELECT * FROM database. schema. table. Both a schema and a database can be used to isolate one table, "foo", from another like-named table "foo". The following is pseudo code: SELECT * FROM database1. foo vs. SELECT * FROM database2. foo (no explicit schema ...
Views can join and simplify multiple tables into a single virtual table. [2] Views can act as aggregated tables, where the database engine aggregates data (sum, average, etc.) and presents the calculated results as part of the data. Views can hide the complexity of data. For example, a view could appear as Sales2020 or Sales2021, transparently ...