Redgate released its first database version control tool in 2007. Schema comparisons and SQL script generation
#Azure data studio schema compare update
They will want to use the existing Source Control project as the starting point for continued development work in ADS, and they will still need a way to modify their development databases, and then update the version control repository with their latest changes.įortunately, SQL Compare makes this process very easy. So, what does this mean for database developers who previously relied on SSMS add-ins, such as SQL Source Control? If all work on a project is moving to Azure Data Studio, for example, then requiring database developers to run SSMS alongside it, just to manage their SQL Source Control projects somewhat defeats the point. For some developments, and some developers, the newer breeds of SQL editor, with attractive features such as Notebook support, are increasingly credible alternatives. While SQL Server Management Studio remains the most popular IDE for working with SQL Server, it’s also becoming more common that it’s not the only IDE teams use. Which editors do you use when working with SQL Server?
#Azure data studio schema compare code
Azure Data Studio and VS Code now represent over 15% of editor usage according to a recent SQL Server Central poll. Over the past couple of years, we’ve seen a steady rise in the popularity of fast, lightweight IDEs that run on multiple platforms.
The rise of lightweight, cross-platform IDEs
How smooth will the transition be? How easy will it be to transfer or replicate their existing processes for Git database version control, for example? With Azure Data Studio’s tight integration with Git and a tool like SQL Compare, it should be straightforward. Many of these teams have been weighing the benefits of moving to a multi-platform IDE for SQL Server, such as Azure Data Studio. Many development teams have been developing SQL Server databases for many years, working mainly in SQL Server Management Studio.
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