Is it advisable to shard tables to improve query performance?

Sharding (dividing tables into parts) can improve query performance, especially when working with large volumes of data, by distributing the load and allowing parallel processing of queries.

However, it is important to consider:

• Architecture complexity: sharding complicates development and maintenance.
• Types of queries: if joins across different shards are frequently needed, it can slow down performance.
• Data volume: for small tables, sharding may be excessive.

The decision to shard should be based on specific performance and scalability requirements, as well as the features of the used DBMS.