in-memory database

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An in-memory database is a type of database management system that primarily relies on a computer's main memory (RAM) for data storage and processing, as opposed to traditional disk-based systems. This approach significantly reduces data access times and improves query performance, making it ideal for applications requiring rapid data processing and real-time analytics.

DuckDB is a prominent example of an in-memory database, designed specifically for analytical workloads. In-memory databases can handle large volumes of data efficiently, often employing compression techniques to maximize memory usage. While the data resides in RAM during operation, many in-memory databases also provide mechanisms for persistence, such as snapshots or transaction logs, to ensure data durability in case of system failures.

These databases are particularly well-suited for scenarios where low latency and high throughput are critical, such as financial trading systems, real-time analytics, and caching layers in complex applications. However, users should be aware that the total data capacity is limited by the available RAM, which can be a constraint for extremely large datasets.