backend-infrastructure

A comprehensive comparison of five major database management systems representing both relational SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, DynamoDB) paradigms for enterprise data storage, scaling, and performance optimization.

A distributed NoSQL database designed for handling large amounts of data across commodity servers with no single point of failure, providing high availability and linear scalability.

A comprehensive architecture pattern combining Apache Cassandra's distributed NoSQL database capabilities with Apache Kafka's event streaming platform to build scalable, fault-tolerant microservices that handle real-time data processing and persistent storage.

Redis is an in-memory data structure store used as database, cache, message broker, and streaming engine with support for strings, lists, sets, hashes, sorted sets, JSON, and vector operations.

A comprehensive comparison of four major database management systems representing both SQL and NoSQL paradigms for enterprise data storage and retrieval.

Compare PostgreSQL, MySQL, and MariaDB performance in 2025. Understand storage impact, and get a battle-tested guide on choosing the right database for your production load.

Compare Redis, Memcached, and Hazelcast for production caching. Understand their core differences, performance, and use cases to make an informed decision for your distributed system.