In what situations is data sharding recommended?

Data sharding is recommended in the following situations:

• When the volume of data becomes too large to store and process on a single server or in a single database.
• To improve system performance and scalability by distributing the load across multiple nodes.
• To ensure high availability and fault tolerance, as data is distributed across different shards.
• In systems with a high number of requests, where a single server cannot handle the load.

For example, in a large online store, sharding can be used to divide user data by regions or ID ranges to speed up query processing and reduce load on individual databases.