In-Memory Database vs Relational Database
Developers should use in-memory databases when building applications requiring low-latency data access, such as real-time analytics, caching layers, gaming leaderboards, or financial trading systems meets developers should learn and use relational databases when building applications that require acid (atomicity, consistency, isolation, durability) compliance, such as financial systems, e-commerce platforms, or any scenario with complex relationships and data integrity needs. Here's our take.
In-Memory Database
Developers should use in-memory databases when building applications requiring low-latency data access, such as real-time analytics, caching layers, gaming leaderboards, or financial trading systems
In-Memory Database
Nice PickDevelopers should use in-memory databases when building applications requiring low-latency data access, such as real-time analytics, caching layers, gaming leaderboards, or financial trading systems
Pros
- +They are ideal for scenarios where speed is critical and data can be recreated or is transient, though some IMDBs also offer persistence options for durability
- +Related to: redis, apache-ignite
Cons
- -Specific tradeoffs depend on your use case
Relational Database
Developers should learn and use relational databases when building applications that require ACID (Atomicity, Consistency, Isolation, Durability) compliance, such as financial systems, e-commerce platforms, or any scenario with complex relationships and data integrity needs
Pros
- +They are ideal for structured data with predefined schemas, supporting efficient joins and transactions, making them a foundational skill for backend development and data management
- +Related to: sql, database-normalization
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use In-Memory Database if: You want they are ideal for scenarios where speed is critical and data can be recreated or is transient, though some imdbs also offer persistence options for durability and can live with specific tradeoffs depend on your use case.
Use Relational Database if: You prioritize they are ideal for structured data with predefined schemas, supporting efficient joins and transactions, making them a foundational skill for backend development and data management over what In-Memory Database offers.
Developers should use in-memory databases when building applications requiring low-latency data access, such as real-time analytics, caching layers, gaming leaderboards, or financial trading systems
Disagree with our pick? nice@nicepick.dev