How does sharding contribute to scalability in NoSQL databases?

  • Aggregates data to a single server, optimizing resource usage
  • Distributes data across multiple servers, reducing load on each server
  • Replicates data on each server, ensuring data availability
  • Stores data in a centralized location, simplifying data management
Sharding in NoSQL databases involves horizontally partitioning data across multiple servers. This distributes the workload and allows parallel processing, enhancing scalability. It reduces the burden on individual servers, preventing bottlenecks and improving overall system performance. Understanding sharding is crucial for designing scalable NoSQL database architectures.
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