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        Database Type	Description	Advantages	Disadvantages	Example Systems
        Relational (SQL)	Stores structured data with predefined schemas using tables	Strong consistency & ACID compliance	Less flexible scaling	MySQL, PostgreSQL
        Key-Value Store	Fast lookup via key-value pairs	High-speed access, easy scaling	Limited querying abilities	Redis, DynamoDB
        Columnar Store	Stores data in columns instead of rows	Optimized for analytics & fast queries	Not ideal for transactional workloads	Cassandra, HBase
        Graph Database	Optimized for relationships between entities	Efficient for network-based queries	Less suitable for tabular data	Neo4J
        Document Store	Stores unstructured/semi-structured JSON-like documents	Flexible schema, good for hierarchical data	Weaker consistency guarantees in some cases	MongoDB, CouchDB