SQL Server Tools

This guide defines SQL naming conventions for tables, columns, keys, and other critical database objects. It provides actionable standards that eliminate ambiguity, support automation, and scale across environments. Learn how consistent naming improves collaboration, simplifies maintenance, and builds a foundation for clean, maintainable schemas in modern SQL systems

This article explores how AI tools accelerate insights, automate SQL, enhance forecasting, and reduce technical barriers, empowering developers and business users. Discover top AI solutions, real-world use cases, and how to integrate AI effectively into your analytics stack.

This guide covers how to build a high-performance database from the ground up; schema design, indexing, security, and optimization included. Aimed at engineers and architects, it also shows how AI tools like dbForge Edge accelerate development across MySQL, PostgreSQL, SQL Server, and Oracle.

Azure SQL Database is a cloud-based database service for SQL Server devotees. This article will explore the Azure SQL Database.

Get a full breakdown of SQL Server 2025’s key features—including built-in AI, real-time event streaming, REST API support, and hybrid cloud integration.

Learn the essential database design best practices to optimize your schema and table structures. Implement these strategies for scalable, high-performance databases. Read more!

Learn how to reset the identity seed in SQL Server using DBCC CHECKIDENT, TRUNCATE, and dbForge Studio for SQL Server. Fix numbering gaps after deleting records.

Improve SQL query safety and performance with parameterized queries. Find out what a parameterized query is and how it protects your database. Click to learn more!

Learn what filtered indexes are in SQL Server, when to use them, how they work, and how dbForge Studio for SQL Server can help you build and manage them.

Modifying system tables might seem like a shortcut—but it’s a high-risk move that can lead to data loss and unsupported environments. Thankfully, SQL Server provides safer, supported tools for every metadata task. Explore recommended alternatives that ensure both precision and protection.