dbForge Source Control for SQL Server

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dbForge Studio for Oracle

dbForge Studio for SQL Server is a powerful IDE for Microsoft SQL Server management, administration, development, data reporting, analysis, and a lot more. SQL developers and DBAs performing complex database tasks can use the GUI tool to speed up almost any database experience, such as designing databases, writing SQL code, comparing databases, synchronizing schemas and data, generating meaningful test data, and much more. There is no need to waste time searching for or purchasing SSMS plug-ins across the Internet to get your work done – dbForge Studio for SQL Server has everything you need to set up your SQL development environment. Check out the great advantages of our SSMS alternative and make sure you are just one step away from having the best user experience with this MS SQL database client!

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.

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.

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.