Will partitioning increase performance?

Partitioning can improve performance by limiting the amount of data scanned during queries. If a query filters on the partition key, the database engine can skip entire partitions, reducing I/O and CPU usage. It also helps with maintenance tasks such as backups, restores, and index rebuilds, which can be performed per partition. However, partitioning adds overhead for writes and can complicate query planning. Therefore, it is most beneficial for large tables with predictable access patterns, such as time-series data or logs, where queries often target specific ranges.