Guide to open source databases :
Here is an quick overview :
MySQL :
An open-source relational database management system (RDBMS) known for its speed and reliability. It’s widely used in web applications.
PostgreSQL :
Another open-source RDBMS known for its advanced features, including support for JSON, XML, and Geospatial data. It’s highly extensible and ACID-compliant.
MariaDB :
A fork of MySQL, developed by the original creators of MySQL. It aims to maintain compatibility while also adding new features and improvements.
Apache Cassandra :
A distributed NoSQL database designed for handling large amounts of data across many commodity servers, providing high availability with no single point of failure.
Neo4j :
A graph database management system, optimized for storing and querying graph data structures. It’s used for applications involving complex relationships, such as social networks and recommendation engines.
SQLite :
A self-contained, serverless, zero-configuration, transactional SQL database engine. It’s embedded into the end program and requires no separate server process.
CockroachDB :
A distributed SQL database built on a scalable and resilient architecture. It’s designed to survive and scale with minimal operational overhead.
Redis :
An in-memory data structure store used as a database, cache, and message broker. It supports various data structures like strings, hashes, lists, sets, and more.
MongoDB :
A NoSQL document-oriented database program, using JSON-like documents with optional schemas. It’s known for its flexibility and scalability, especially for applications with rapidly changing data models.
Couchbase :
A NoSQL, distributed JSON document database. It’s designed for interactive applications that serve large concurrent user loads.
Each of these databases has its own set of strengths and weaknesses, and the choice depends on the specific requirements of your application in terms of scalability, consistency, data structure, and performance.