How many types of databases

There are various ways to categorize databases based on different criteria such as their structure, functionality, and intended use. Here are some common types:

1. Relational Databases: Organized based on the relational model, where data is structured into tables with rows and columns, and relationships between tables are established using keys.
2. NoSQL Databases: These databases depart from the traditional relational model and offer alternatives for handling unstructured or semi-structured data. Examples include document-oriented databases, key-value stores, columnar databases, and graph databases.
3. Object-oriented Databases: Designed to store and manipulate objects rather than data in tables. They are well-suited for object-oriented programming languages.
4. Graph Databases: Optimized for storing and querying graph data, consisting of nodes, edges, and properties. They are particularly useful for applications involving complex relationships and network analysis.
5. Hierarchical Databases: Organized in a tree-like structure where each record has a single parent or root.
6. Network Databases: Similar to hierarchical databases but with the ability for a record to have multiple parent and child records.
7. Spatial Databases: Specialized databases for storing and querying spatial data, such as geographic information systems (GIS) data.
8. Time-Series Databases: Optimized for handling time-stamped or time-series data, commonly used in applications like IoT, financial data analysis, and monitoring systems.

These are just a few examples, and there are many other specialized databases catering to specific needs and use cases.