Distributed Databases vs NoSQL Databases
Developers should learn and use distributed databases when building applications that require high availability, scalability, and resilience, such as global web services, big data analytics, or real-time systems meets developers should learn nosql databases when building applications requiring horizontal scaling, high throughput, or handling diverse data formats like json, xml, or graphs. Here's our take.
Distributed Databases
Developers should learn and use distributed databases when building applications that require high availability, scalability, and resilience, such as global web services, big data analytics, or real-time systems
Distributed Databases
Nice PickDevelopers should learn and use distributed databases when building applications that require high availability, scalability, and resilience, such as global web services, big data analytics, or real-time systems
Pros
- +They are essential for handling massive datasets, supporting concurrent users, and ensuring data durability in distributed environments like cloud computing or microservices architectures
- +Related to: database-scalability, data-replication
Cons
- -Specific tradeoffs depend on your use case
NoSQL Databases
Developers should learn NoSQL databases when building applications requiring horizontal scaling, high throughput, or handling diverse data formats like JSON, XML, or graphs
Pros
- +They are ideal for use cases such as big data processing, real-time web apps, social networks, and caching layers where relational databases may be too rigid or slow
- +Related to: mongodb, redis
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use Distributed Databases if: You want they are essential for handling massive datasets, supporting concurrent users, and ensuring data durability in distributed environments like cloud computing or microservices architectures and can live with specific tradeoffs depend on your use case.
Use NoSQL Databases if: You prioritize they are ideal for use cases such as big data processing, real-time web apps, social networks, and caching layers where relational databases may be too rigid or slow over what Distributed Databases offers.
Developers should learn and use distributed databases when building applications that require high availability, scalability, and resilience, such as global web services, big data analytics, or real-time systems
Disagree with our pick? nice@nicepick.dev