Open-source relational databases

There are several open-source relational databases that are widely used and well-regarded in the development community.

Here are some popular choices:

MySQL:

• MySQL is one of the most popular open-source relational database management systems (RDBMS). It is known for its reliability, ease of use, and strong community support. MySQL is often used in web applications and is compatible with various programming languages.

PostgreSQL:

• PostgreSQL is a powerful and feature-rich open-source RDBMS. It is known for its extensibility, support for complex queries, and adherence to SQL standards. PostgreSQL is suitable for a wide range of applications and has a strong reputation for data integrity.

MariaDB:

• MariaDB is a fork of MySQL and was created by the original developers of MySQL after concerns about Oracle's acquisition of MySQL. MariaDB is designed to be highly compatible with MySQL, providing a drop-in replacement with additional features and enhancements.

SQLite:

• SQLite is a lightweight, serverless, and self-contained relational database engine. It is often embedded in applications and doesn't require a separate server process. SQLite is suitable for scenarios with low to moderate traffic or standalone applications.

Firebird:

• Firebird is an open-source RDBMS that offers a powerful and lightweight solution. It supports stored procedures, triggers, and is known for its ease of use. Firebird is suitable for various applications, including embedded systems.

CockroachDB:

• CockroachDB is an open-source distributed SQL database that is designed for scalability and resilience. It provides strong consistency and is suitable for cloud-native applications and distributed systems.

These databases vary in terms of features, performance, and suitability for different use cases. The choice between them often depends on the specific requirements of your project, such as scalability, data complexity, and the need for features like ACID compliance, JSON support, or spatial data support. It's a good idea to evaluate these databases based on your project's needs and conduct some testing to ensure they align with your performance and functionality expectations.