MariaDB

MongoDB is a document-oriented NoSQL database used for high volume data storage and complex applications. It stores data in flexible, JSON-like documents, allowing for dynamic schemas and easy scalability. MongoDB offers features like automatic sharding, replication for high availability, and a powerful query language. Its ability to handle large volumes of unstructured data and its scalability make it popular for big data applications, content management systems, and real-time analytics. MongoDB's flexibility and ease of use contribute to its widespread adoption in modern application development.

Redis is an open-source, in-memory data structure store that can be used as a database, cache, message broker, and queue. It supports various data structures such as strings, hashes, lists, sets, and more. Redis is known for its high performance, flexibility, and support for atomic operations. Its ability to persist data to disk and replicate data across multiple servers makes it suitable for a wide range of use cases, from simple caching to complex real-time applications. Redis's speed and versatility make it popular among developers for building high-performance, scalable applications.

PostgreSQL, also known as Postgres, is a powerful, open-source object-relational database system. It emphasizes extensibility and SQL compliance, offering advanced features like complex queries, foreign keys, triggers, and transactional integrity. PostgreSQL is known for its reliability, data integrity, and ability to handle complex workloads. Its support for both relational and non-relational querying makes it versatile for various applications. PostgreSQL's robust feature set and active community make it popular among developers and organizations requiring a sophisticated, scalable database solution.