Consistent Hashing vs Range Partitioning

Developers should learn consistent hashing when building or working with distributed systems like content delivery networks (CDNs), distributed databases (e meets developers should use range partitioning when dealing with large datasets that have natural ordering, such as time-series data (e. Here's our take.

Consistent Hashing

Nice Pick

Developers should learn consistent hashing when building or working with distributed systems like content delivery networks (CDNs), distributed databases (e

Pros

• g
• Related to: distributed-systems, load-balancing

Cons

• Specific tradeoffs depend on your use case

Range Partitioning

Developers should use range partitioning when dealing with large datasets that have natural ordering, such as time-series data (e

Pros

• g
• Related to: database-partitioning, sharding

Cons

• Specific tradeoffs depend on your use case

The Verdict

Use Consistent Hashing if: You want g and can live with specific tradeoffs depend on your use case.

Use Range Partitioning if: You prioritize g over what Consistent Hashing offers.

The Bottom Line

Consistent Hashing wins

Developers should learn consistent hashing when building or working with distributed systems like content delivery networks (CDNs), distributed databases (e