SQL Server Tools

This guide to SQL formatting best practices shows how to write queries that are consistent, readable, and scalable. By applying rules for capitalization, indentation, clause order, and naming, teams create SQL that’s easier to review, debug, and maintain across projects, reducing technical debt over time.

Explore how to implement dynamic SQL in SQL Server effectively with this guide. It explains the differences from static SQL, offers security-focused best practices, and recommends SQL Server IDEs that empower developers to create adaptable, performant, and secure database queries.

Learn what Database Change Management (DCM) means in modern development. See key practices, common challenges, and compare tools likedbForge Studio for SQL Server, Bytebase, and Liquibase.

This article examines ANSI SQL, the universal SQL standard that ensures compatibility across databases such as PostgreSQL, Oracle, MySQL, and SQL Server. Learn its history, key features, components, and benefits, and understand how it compares to vendor-specific SQL dialects in building scalable, maintainable, and cross-platform database systems.

This article explores various methods to view and analyze transaction logs, including SQL Server's native capabilities and third-party graphical user interface (GUI) solutions.

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

Learn how to use SQL Server AI tools to write better queries, fix errors, and boost productivity. Find the best tools and start using AI for SQL Server today.

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.