What are some popular databases used in Full Stack Development?

In Full Stack Development, there are several popular databases that are commonly used to store and manage data. Some of these popular databases include:

1. MySQL: MySQL is an open-source relational database management system (RDBMS) that is widely used in Full Stack Development. It is known for its scalability, performance, and ease of use. MySQL is compatible with various programming languages and is commonly used in web applications.

2. PostgreSQL: PostgreSQL is another open-source RDBMS that is highly popular in Full Stack Development. It is known for its robustness, reliability, and advanced features. PostgreSQL supports a wide range of data types and has excellent support for complex queries and transactions.

3. MongoDB: MongoDB is a NoSQL database that is widely used in Full Stack Development, especially in applications that require high scalability and flexibility. It stores data in a JSON-like format called BSON and provides features like sharding and replication for distributed data storage.

4. SQLite: SQLite is a lightweight, file-based database engine that is often used in Full Stack Development for small-scale applications or mobile development. It is known for its simplicity, portability, and zero-configuration setup.

5. Oracle: Oracle is a popular commercial RDBMS that is widely used in enterprise-level Full Stack Development. It offers advanced features like high availability, scalability, and security. Oracle databases are known for their performance and are commonly used in large-scale applications.

6. Microsoft SQL Server: Microsoft SQL Server is a relational database management system developed by Microsoft. It is commonly used in Full Stack Development, especially in applications that are built using Microsoft technologies like .NET. SQL Server offers a wide range of features and tools for data management and analysis.

These are just a few examples of popular databases used in Full Stack Development. The choice of database depends on various factors like the specific requirements of the application, scalability needs, performance considerations, and the developer's familiarity with the database technology.