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* '''In-memory databases:''' [[In-memory database]]s store data in the system's main memory ([[Random-access memory|RAM]]) rather than on disk. This allows for faster data access and retrieval. Examples: [[Redis]], [[Memcached]].
* '''Time-series databases:''' [[Time series database|Time-series databases]] are optimized for handling time-stamped data, making them suitable for applications that involve tracking changes over time. Examples: [[InfluxDB]], OpenTSDB.
* '''NewSQL databases:''' [[NewSQL]] databases aim to provide the scalability of NoSQL databases while maintaining the [[ACID]] properties (Atomicity, Consistency, Isolation, Durability) of traditional relational databases. Examples: [[Spanner (database)|Google Spanner]], [[CockroachDB]].
* '''Object-oriented databases:''' [[Object-oriented databases]] store data in the form of objects, which can include both [[data]] and methods. They are designed to work seamlessly with object-oriented programming languages. Examples: [[db4o]], [[ObjectDB]].
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