Centralized Architecture vs Distributed Architecture
Developers should learn and use centralized architecture when building systems that require strict control, consistency, and centralized management, such as in traditional client-server models, monolithic applications, or enterprise systems with centralized databases meets developers should learn distributed architecture when building systems that require high availability, horizontal scalability, or resilience to failures, such as e-commerce platforms, social networks, or real-time analytics. Here's our take.
Centralized Architecture
Developers should learn and use centralized architecture when building systems that require strict control, consistency, and centralized management, such as in traditional client-server models, monolithic applications, or enterprise systems with centralized databases
Centralized Architecture
Nice PickDevelopers should learn and use centralized architecture when building systems that require strict control, consistency, and centralized management, such as in traditional client-server models, monolithic applications, or enterprise systems with centralized databases
Pros
- +It is particularly useful for scenarios where data integrity, security, and simplified maintenance are priorities, such as in banking systems, government applications, or small to medium-sized projects where complexity needs to be minimized
- +Related to: client-server-architecture, monolithic-architecture
Cons
- -Specific tradeoffs depend on your use case
Distributed Architecture
Developers should learn distributed architecture when building systems that require high availability, horizontal scalability, or resilience to failures, such as e-commerce platforms, social networks, or real-time analytics
Pros
- +It's essential for handling large user bases, geographic distribution, and complex data processing, as seen in cloud-native applications and distributed databases like Cassandra or Kafka-based event streaming
- +Related to: microservices, cloud-computing
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use Centralized Architecture if: You want it is particularly useful for scenarios where data integrity, security, and simplified maintenance are priorities, such as in banking systems, government applications, or small to medium-sized projects where complexity needs to be minimized and can live with specific tradeoffs depend on your use case.
Use Distributed Architecture if: You prioritize it's essential for handling large user bases, geographic distribution, and complex data processing, as seen in cloud-native applications and distributed databases like cassandra or kafka-based event streaming over what Centralized Architecture offers.
Developers should learn and use centralized architecture when building systems that require strict control, consistency, and centralized management, such as in traditional client-server models, monolithic applications, or enterprise systems with centralized databases
Disagree with our pick? nice@nicepick.dev