Long Term Storage vs In-Memory Storage

Developers should learn about Long Term Storage when building systems that require data retention for regulatory compliance (e meets developers should use in-memory storage when building applications that require low-latency data access, such as real-time trading platforms, gaming leaderboards, or high-traffic web session management. Here's our take.

Long Term Storage

Nice Pick

Developers should learn about Long Term Storage when building systems that require data retention for regulatory compliance (e

Pros

• g
• Related to: data-retention-policies, cloud-storage

Cons

• Specific tradeoffs depend on your use case

In-Memory Storage

Developers should use in-memory storage when building applications that require low-latency data access, such as real-time trading platforms, gaming leaderboards, or high-traffic web session management

Pros

• It is particularly valuable for read-heavy workloads where data can be pre-loaded into memory, and for scenarios where temporary data persistence (like user sessions) needs fast retrieval without the overhead of disk operations
• Related to: redis, memcached

Cons

• Specific tradeoffs depend on your use case

The Verdict

Use Long Term Storage if: You want g and can live with specific tradeoffs depend on your use case.

Use In-Memory Storage if: You prioritize it is particularly valuable for read-heavy workloads where data can be pre-loaded into memory, and for scenarios where temporary data persistence (like user sessions) needs fast retrieval without the overhead of disk operations over what Long Term Storage offers.

The Bottom Line

Long Term Storage wins

Developers should learn about Long Term Storage when building systems that require data retention for regulatory compliance (e