dbForge Studio for SQL Server

dbForge Studio is a product line designed to encompass every aspect of database development and administration, providing versatile functionality in a single IDE. It is available for all major database management systems: SQL Server, MySQL, Oracle, and PostgreSQL. One of the ways to evaluate its hard-earned reputation is to get acquainted with its accolades — and two of them are the subject of our today’s story.

One of the regular jobs performed by a database administrator and developer is creating and executing queries of higher complexity to resolve complicated tasks. This requires extra caution and seriousness because any inaccuracies in the code can result in undesirable bugs and application downtime.

If a company has to choose between a free database tool and a paid one, and both of them deliver the same features and performance, it is natural that the paid one doesn’t stand a chance. But what if the free tool doesn’t contain all the necessary functionality for the workflow? What if it has limitations that prevent the employees from becoming more productive? And if it turns out that their work requires either 7 separate, perhaps even hardly compatible free tools, wouldn’t it be more effective to pay for just one tool that would have it all in place?

dbForge Studio for SQL Server is an all-encompassing IDE, designed for efficient development, management, and administration of SQL Server databases. It comprises a set of tools that accelerate and automate a number of related tasks, including data and schema comparison, analysis, and reporting. Today we add another valuable entry to the list of its achievements – the G2 High Performer Spring 2021 award.

We’re pleased to present dbForge Studio for SQL Server v6.0 hugely packed with new features and major improvements. Database DevOps integration is one of the most demanded features requested by our users, and today we are making it happen.

Quite enough, there’s a need to change how data is displayed in a database so that the users could analyze it more easily. One of the cases of such transformation is transposing data from rows to columns in SQL Server.