SQL Server Data Tools (SSDT) is powerful but limited to SQL Server, lacks advanced performance features, and isn’t cross-platform. If you need better optimization, multi-database support, or automation, it's time to explore alternatives. This guide covers the top SQL data tools, from dbForge Studio to Azure Data Studio, helping you choose the best fit for your workflow.
Learn how to use the SQL Server SUBSTRING function for extracting text. Check extensive examples with tables, dynamic extractions, and tips for effective SUBSTRING queries in SQL Server.
Optimize your .NET app with the right ORM. NHibernate offers deep SQL control and advanced caching for enterprise applications, while EF Core delivers speed, simplicity, and seamless .NET integration. NHibernate excels in complex queries, while EF Core is lightweight and cloud-ready. Picking the right one ensures smooth performance and scalability.
Learn about MySQL reserved words, their impact on database design, and how to avoid common errors. Find practical tips, examples, and resources for managing reserved words effectively.
Discover SQL Server's CHARINDEX() function with clear examples. Learn to locate text patterns, apply case sensitivity and handle advanced use cases in SQL.
Working with large datasets often involves searching for patterns buried deep in your data. Whether you’re validating entries, cleaning records, or identifying errors, pinpointing...
Explore the top 7 tools to compare two SQL Server databases with detailed reviews, key features, pros and cons, and pricing to help you choose the best one.
Learn how to use the SQL Server GETDATE function to retrieve the current date and time. Includes syntax, use cases, performance tips, and examples in dbForge Studio for SQL Server.
Learn how to use the SQL DROP INDEX statement with clear syntax, practical examples, and step-by-step guidance for managing indexes in dbForge Studio for SQL Server.
Learn about SQL Server data types, their categories, examples, and how to choose the right type for your data. Get tips on avoiding common mistakes and optimizing your database schema.