SQL Server Tools
Best 7 DBVisualizer Alternatives
Discover why dbForge Edge is the top DBVisualizer or DBeaver alternative for database management. Learn how dbForge Edge surpasses DBVisualizer and DBeaver in functionality and efficiency.
Difference Between Blocking and Deadlocks in SQL Server
Read on to learn about blocking and deadlocks in SQL Server, differences between them, reasons for their occurrence, and ways to detect and resolve them in databases.
How to Handle Null or Empty Values in SQL Server
This article explores the differences between NULLs and empty values in SQL Server and discusses how to handle them effectively.
Protecting Against Ad-Hoc Query Exploits
Read on about security aspects of ad-hoc queries, including the vulnerability of SQL injection and methods to protect database data and minimize the risks of unauthorized access.
When to Use CHAR, VARCHAR, and VARCHAR(MAX) in SQL
The choice of data type affects data integrity, storage, and performance, making it a critical decision. This article will focus on three commonly used data types: CHAR, VARCHAR, and VARCHAR(MAX).
How to Restore a SQL Server 2019 Backup on a SQL Server 2017 Instance
Read on the article to learn about alternative methods to transfer a SQL Server 2019 backup on a 2017 instance using SQL scripts and the dbForge tools.
SQL Server Backup Types and Key Concepts
The importance of regular database backup and recovery can be neither underestimated nor ignored. And since your data is subject to modification, the primary task is to ensure its safety and mitigate the risks of data loss.
Identify and Fix SQL Server Backup Errors
Discover common issues with SQL Server backups, learn how to locate missing backups, and follow best practices to proactively prevent backup failures.
SQL Server UPDATE Statement
In this article, you'll learn what SQL UPDATE is used for. Also, you'll explore different ways to update columns in a table with the help of the statement.
Using Alternatives to the LIMIT Clause in SQL Server
In database management, efficient limiting of query results is key for optimizing performance and retrieving relevant data. Let's explore how this can be achieved in SQL Server.
