MySQL and PostgreSQL are both open-source database,we will provide a comprehensive comparison of these two databases to help you choose the database management system that best fits your needs.

SQL editors are not just tools for executing queries; they are comprehensive platforms that enhance productivity, collaboration, and data management.

In the realm of databases, a view is recognized as a powerful and flexible tool that represents a virtual table based on the result set of an SQL query. Data itself is not stored by views; instead, the SQL query that generates the data is retained. This abstraction layer simplifies complex queries, enhances data security, and eases data management.

When it comes to filtering records in SQL queries, there are two main options, using either the WHERE clause or the HAVING clause. While both WHERE and HAVING are used to filter rows, the conditions in the WHERE clause are applied before data grouping, whereas the conditions in the HAVING clause are applied after grouping.

Data APIs enable applications to access and update data, allowing different systems and applications to interact with it seamlessly. They facilitate data access, querying, and modification. This article will introduce the basic operations for accessing or updating data using data APIs.

In the HTTP protocol, POST and GET are two commonly used request methods, each with distinct semantics, functions, and use cases. This article explores their differences in detail.

Almost everyone starts with MySQL Workbench for MySQL, and there are many SQL Editor tools for MySQL,these tools still have many shortcomings.SQLynx is the best SQL Editor for MySQL from the perspective of SQL developers and data analysts

In daily works, sometimes we may need to convert our database, and migrate the date to new database. In this article, I will introduce a method to convert and migrate database from mysql to postgresql with sql tools.

The most comprehensive SQL basic knowledge, a quick introduction to SQL, MySQL, PostgreSQL, Oracle, SQL Server, Mongo DB and other databases in one article, recommended for repeated viewing