Tell about the types of databases by data models.
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Answer from AI
Databases are classified by data models, which define the structure and method of storing information:
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Relational databases (RDBMS): data is stored in tables with clearly defined columns and rows. They use SQL for queries. Examples: MySQL, PostgreSQL.
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Document databases: store data as documents (usually JSON or BSON), which is convenient for unstructured or semi-structured data. Examples: MongoDB, CouchDB.
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Key-Value databases: a simple model where data is stored as key-value pairs. Fast access, suitable for caching. Examples: Redis, Riak.
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Graph databases: focused on storing and processing data with relationships, represented as graphs (nodes and edges). Used for social networks, recommendations. Examples: Neo4j, JanusGraph.
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Time-Series databases: optimized for storing and analyzing time-related data (e.g., metrics, logs). Examples: InfluxDB, TimescaleDB.
Each model is suitable for different tasks; the choice depends on the data structure and performance requirements.