Sharding in DBMS refers to a database design and scaling technique used to horizontally partition a large database into smaller, more manageable pieces called shards. Each shard is an independent database instance containing a subset of the data.
The primary goal of sharding is to distribute the data and workload across multiple servers or nodes, enabling better load balancing and improving the overall performance and scalability of the database. Sharding is commonly employed in large-scale applications and distributed databases, where a single server may not be sufficient to handle the high volume of data and traffic.
Scalability & Performance Distributed Workload High Availability Independent Management Cost-Effectiveness
Complexity Join Operations Data Consistency Query Routing Initial Setup
