Latest Distributed Databases Articles

Strong consistency means a system provides a single authoritative view of data according to a defined consistency model, so operations do not arbitrarily observe stale states after newer writes should be visible.

Database sharding divides a large dataset across multiple independent database nodes. Each shard owns only part of the data, allowing storage capacity, write throughput, and query processing to grow beyond the limits of one server.

Database replication maintains copies of data across multiple database nodes. A primary node usually accepts writes, while one or more replicas copy those changes and may serve read traffic, provide disaster-recovery capacity, or support analytics workloads.

Database performance problems rarely appear because a database suddenly becomes slow. They emerge as data volume, concurrent connections, transaction rates, analytical queries, and background jobs gradually exceed the capacity of the original design.