Distributed Databases Questions
Data scalability in a distributed database refers to the ability of the system to handle an increasing amount of data without sacrificing performance. It involves distributing the data across multiple nodes or servers, allowing for parallel processing and improved performance as the workload grows.
Replication, on the other hand, involves creating and maintaining multiple copies of the data across different nodes in the distributed database. This ensures high availability and fault tolerance, as if one node fails, the data can still be accessed from other replicas. Replication also improves read performance by allowing data to be accessed from the nearest replica, reducing network latency.
In summary, data scalability enables the distributed database to handle larger amounts of data, while replication ensures data availability and fault tolerance by maintaining multiple copies of the data.