GraphQL Playground vs PostgreSQL for Visual Studio Code: What are the differences?

# Introduction

## Key Differences between GraphQL Playground and PostgreSQL for Visual Studio Code

1. **Interface**: GraphQL Playground provides an interactive web-based interface where users can test queries, mutations, and subscriptions, while PostgreSQL for Visual Studio Code allows developers to interact with their PostgreSQL databases directly within the Visual Studio Code editor through a SQL editor panel.
2. **Query Language**: GraphQL Playground uses the GraphQL query language, which allows clients to request only the data they need, in a single request, making it more efficient for fetching data. On the other hand, PostgreSQL for Visual Studio Code supports SQL queries, which are powerful for manipulating and retrieving data from relational databases.
3. **Real-time Testing**: GraphQL Playground supports real-time testing of subscriptions, enabling users to see live updates as data changes, which is not a feature available in PostgreSQL for Visual Studio Code.
4. **Flexible Schema**: GraphQL Playground offers a flexible schema, allowing users to define their data structure based on their needs, while PostgreSQL for Visual Studio Code relies on a predefined schema for the database tables being accessed.
5. **Version Control**: With PostgreSQL for Visual Studio Code, developers can utilize version control systems such as Git to manage changes to their SQL files, while in GraphQL Playground, the focus is more on real-time manipulation of data rather than version control.
6. **Performance Optimization**: GraphQL Playground provides features like query batching and caching for optimizing performance in fetching data from the server, whereas PostgreSQL for Visual Studio Code requires developers to manually optimize their SQL queries for better performance.

In Summary, the key differences between GraphQL Playground and PostgreSQL for Visual Studio Code lie in their interface, query language, real-time testing, schema flexibility, version control, and performance optimization.