dbForge Monitor for SQL Server

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dbForge Documenter for SQL Server

dbForge DevOps Automation for SQL Server is a cutting-edge solution that takes conventional database development and deployment to a whole new level. * Embrace database DevOps automation and management approaches * Implement database Continuous Integration and Continuous Delivery * Minimize SQL Server database deployment risks * Drive quality and frequency of SQL Server database updates * Make the database release workflow consistent and safe * Use effective approach to the database lifecycle management * Reduce overall SQL Server database costs and expenses

dbForge Query Builder for SQL Server is an SQL query builder to make your SQL queries fast and simple regardless of their complexity. Our SQL query tool is a well-polished unit for creating database queries on a whole new interactivity level thanks to the visual features via graphical SQL query designer when dealing with SQL Server through a neat and intuitive UI. Beautify your code and automate workflow using word suggestions and simple visual tips that will complement seamless query management via drag and drop functionality.

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.