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1. www.microsoft.com › en-us › sql-serverSQL Server Downloads | Microsoft

   www.microsoft.com › en-us › sql-server

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   Get the performance and security of SQL Server 2022, a scalable, hybrid data platform, now Azure-enabled. Download now Or, download a free specialized edition

2. dbeaver.ioDBeaver Community | Free Universal Database Tool

   dbeaver.io

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   DBeaver Community is a free cross-platform database tool for developers, database administrators, analysts, and everyone working with data. It supports all popular SQL databases like MySQL, MariaDB, PostgreSQL, SQLite, Apache Family, and more.

3. www.mysql.com › products › workbenchMySQL :: MySQL Workbench

   www.mysql.com › products › workbench

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   MySQL Workbench delivers visual tools for creating, executing, and optimizing SQL queries. The SQL Editor provides color syntax highlighting, auto-complete, reuse of SQL snippets, and execution history of SQL.

4. www.heidisql.comHeidiSQL - MariaDB/MySQL, MSSQL, PostgreSQL, SQLite and Interbase...

   www.heidisql.com

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   HeidiSQL is free software for people who work with databases, and aims to be intuitive to use. "Heidi" lets you connect to a variety of databases, like MariaDB, MySQL, Microsoft SQL, PostgreSQL, SQLite, Interbase and Firebird.

5. www.sqlmanager.net › products › mysqlSQL Query for MySQL

   www.sqlmanager.net › products › mysql

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   SQL Query for MySQL Get started with SQL Query for MySQL. Download a fully-functional 30-day free trial, and start saving time with your database management today. Download free trial

6. dev.mysql.com › downloads › workbenchMySQL :: Download MySQL Workbench

   dev.mysql.com › downloads › workbench

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   To be able to install and run MySQL Workbench on Windows your system needs to have libraries listed below installed. The listed items are provided as links to the corresponding download pages where you can fetch the necessary files. Microsoft .NET Framework 4.5.

7. sqlnotebook.comSQL Notebook

   sqlnotebook.com

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   7 sty 2023 · Open source app for casual data exploration in SQL. Import your data from CSV, Excel, Microsoft SQL Server, PostgreSQL, and MySQL. Then use a Jupyter -style notebook interface for exploratory queries, and write stored procedures for reusable logic.