Embedded Databases vs In-Memory Database
Developers should use embedded databases when building applications that need local data storage without the overhead of a full database server, such as mobile apps, desktop tools, or IoT devices with limited resources meets developers should use in-memory databases when building applications that demand ultra-fast data retrieval, such as real-time analytics, caching layers, session stores, or high-frequency trading systems. Here's our take.
Embedded Databases
Developers should use embedded databases when building applications that need local data storage without the overhead of a full database server, such as mobile apps, desktop tools, or IoT devices with limited resources
Embedded Databases
Nice PickDevelopers should use embedded databases when building applications that need local data storage without the overhead of a full database server, such as mobile apps, desktop tools, or IoT devices with limited resources
Pros
- +They are ideal for scenarios requiring portability, simplicity, and low latency, like caching, configuration storage, or offline data access in single-user or small-scale environments
- +Related to: sqlite, h2-database
Cons
- -Specific tradeoffs depend on your use case
In-Memory Database
Developers should use in-memory databases when building applications that demand ultra-fast data retrieval, such as real-time analytics, caching layers, session stores, or high-frequency trading systems
Pros
- +They are ideal for scenarios where data can fit in memory and performance is critical, as they offer millisecond or microsecond response times compared to traditional disk-based databases
- +Related to: redis, apache-ignite
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use Embedded Databases if: You want they are ideal for scenarios requiring portability, simplicity, and low latency, like caching, configuration storage, or offline data access in single-user or small-scale environments and can live with specific tradeoffs depend on your use case.
Use In-Memory Database if: You prioritize they are ideal for scenarios where data can fit in memory and performance is critical, as they offer millisecond or microsecond response times compared to traditional disk-based databases over what Embedded Databases offers.
Developers should use embedded databases when building applications that need local data storage without the overhead of a full database server, such as mobile apps, desktop tools, or IoT devices with limited resources
Disagree with our pick? nice@nicepick.dev