In memory database
An in-memory database is a type of database that stores data primarily in a computer’s main memory (RAM) instead of on disk. Because accessing RAM is much faster than reading from storage drives, in-memory databases can provide very low-latency responses for queries and transactions.
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Meaning of “in-memory database”
An in-memory database is a type of database that stores data primarily in a computer’s main memory (RAM) instead of on disk. Because accessing RAM is much faster than reading from storage drives, in-memory databases can provide very low-latency responses for queries and transactions.
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How it works and common uses
In-memory databases typically keep active datasets in RAM and may use additional mechanisms to ensure durability—such as periodic snapshots to disk and/or write-ahead logs—so data can be recovered after restarts. They’re often used for real-time analytics, caching, high-frequency trading, session management, and applications that need rapid reads and writes.
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Trade-offs and considerations
The main trade-off is cost and capacity: RAM is more expensive and limited compared with disk storage. In-memory databases also require careful design to manage persistence, recovery, and memory usage. For large datasets or workloads with infrequent access, a traditional disk-based database may be more practical.
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