System Design Comparisons
In-depth, technically accurate comparisons of the technologies and patterns that shape distributed systems. Each comparison includes a head-to-head table, decision framework, and guidance on architectural impact.
Redis vs Memcached
Redis for features, Memcached for simplicity
MessagingKafka vs RabbitMQ
Kafka for throughput and replay, RabbitMQ for routing flexibility
DatabaseSQL vs NoSQL
SQL for consistency and complex queries, NoSQL for scale and flexibility
API DesignREST vs GraphQL
REST for simplicity and caching, GraphQL for flexible data fetching
ArchitectureMonolith vs Microservices
Start with a monolith, extract microservices when complexity demands it
TrafficCDN vs Load Balancer
Different tools for different jobs; most systems need both
Real-TimeWebSocket vs Server-Sent Events (SSE)
WebSocket for bidirectional, SSE for server-push simplicity
ComputeKubernetes vs Serverless
Kubernetes for control, Serverless for speed and simplicity
DatabasePostgreSQL vs DynamoDB
PostgreSQL for query flexibility, DynamoDB for predictable scale
ArchitectureEvent-Driven vs Request-Response
Event-driven for loose coupling, request-response for simplicity
DatabasesPostgreSQL vs MySQL
PostgreSQL for advanced features and correctness, MySQL for read-heavy simplicity
Load BalancingNginx vs HAProxy
Nginx for web serving and versatility, HAProxy for pure load balancing performance
NoSQL DatabasesCassandra vs DynamoDB
Cassandra for multi-cloud control, DynamoDB for zero-ops on AWS
API DesigngRPC vs REST
gRPC for internal service performance, REST for public API accessibility