Databases are essential for storing and managing data efficiently. Here’s a breakdown of common database categories:

  • Relational Databases 🗂️
    Use structured queries (SQL) to organize data into tables.

    Relational_Database
    *Example: MySQL, PostgreSQL*

  • NoSQL Databases 🌐
    Flexible and scalable for unstructured data.

    NoSQL_Database
    *Example: MongoDB, Cassandra*

  • Time-Series Databases ⏳
    Optimized for handling sequential data over time.

    Time_Series_Database
    *Example: InfluxDB, TimescaleDB*

  • Document Databases 📄
    Store data in JSON-like documents.

    Document_Database
    *Example: Couchbase, ArangoDB*

  • Graph Databases 🕸️
    Designed for relationships and networks.

    Graph_Database
    *Example: Neo4j, Amazon Neptune*

For a deeper comparison between database types, check out our Database Comparison Guide. 📚