MySQL and PostgreSQL offer many of the same features and capabilities—but there are critical differences between these two Relational Database Management Systems (RDBMS) that cannot be ignored. If you’re not familiar with these differences, here’s a quick and easy overview: In this guide, we provide a brief history and overview of each database system.

Learn the crucial role of data governance and security in database replication.

Today, we’re looking at MySQL vs MS SQL Server. Relational database management systems (RDBMS) form the backbone of enterprise IT. Data-driven business intelligence, analytics, and reporting workloads simply couldn’t exist without the support of a high-powered, high-performance relational database. Good databases can bring your enterprise IT to the next level—while bad databases can bring it to its knees.

Database testing is the process of evaluating the accuracy, reliability, and performance of a database system. Its purpose is to ensure that the data stored there is consistent, valid, and can be correctly manipulated for business needs. The components to be tested are usually database schema, tables, and database triggers. Testers leverage SQL queries, data comparison tools, automation frameworks, or load testing tools to examine the data integrity, validity, security, performance, and structure.