Databases can be categorized into several types based on their structure, functionality, and intended use.
Relational Databases:
- Organize data into tables with rows and columns, using a structured query language (SQL) for managing and manipulating data.
Examples: MySQL, PostgreSQL, Oracle, and SQL Server.
NoSQL Databases:
- These databases are designed to handle unstructured, semi-structured, or structured data. They include document-oriented, key-value, column-family, and graph databases.
Examples: MongoDB (document), Redis (key-value), Cassandra (column), Neo4j (graph).
Database documentation To Be Done
Databases can be categorized into several types based on their structure, functionality, and intended use.
Relational Databases:
- Organize data into tables with rows and columns, using a structured query language (SQL) for managing and manipulating data.
Examples: MySQL, PostgreSQL, Oracle, and SQL Server.
NoSQL Databases:
- These databases are designed to handle unstructured, semi-structured, or structured data. They include document-oriented, key-value, column-family, and graph databases.
Examples: MongoDB (document), Redis (key-value), Cassandra (column), Neo4j (graph).
Database documentation To Be Done