dbForge Data Pump is an SQL Server

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dbForge Documenter for SQL Server

Search for SQL Server is a FREE add-in for Microsoft SQL Server Management Studio that allows you to quickly locate SQL objects, data, and text in your databases. When a database contains lots of objects, finding a required table or recollecting names of your stored routines can be quite a daunting task. With Search for SQL Server, you no longer need to look through the entire SSMS Object Explorer to locate a required column name, or text in a stored procedure. This database search tool will definitely make your life easier.

SQL Server stored procedures, views, functions, and triggers may be created with the WITH ENCRYPTION option to encrypt the definition of the specific object. dbForge SQL Decryptor is a free tool that can help you view and decrypt the encrypted stored procedures, views, triggers, and functions in a quick way. To make it easy and efficient to work with the encrypted objects, use a highly responsive UI, syntax highlighting, Unicode support, a batch mode, decryption caching, output options, and other capabilities.

dbForge Studio for MySQL is a universal GUI tool for MySQL and MariaDB database development, management, and administration. 

SQL Complete is an advanced solution for SQL database development, management, and administration. Available as an add-in for Visual Studio and SSMS, the tool offers excellent autocompletion capabilities. Write, beautify, refactor your SQL code easily and boost your productivity dramatically due to the features that are included in SQL Complete but are lacking in Management Studio and Visual Studio IntelliSense.

Implement new standards for the population of SQL tables with random data with our visual data generation tool. Data Generator includes 200+ meaningful SQL data generators with sensible configuration options and provides greater flexibility and manual control over the creation of the foreign key data. With the column-intelligent data generation, the generated data in a column is based on the data of another.