In addition to the mentioned strategies, another way to optimize SQL query performance is to analyze and optimize query execution plans. By using tools like EXPLAIN or Query Store, you can identify expensive operations or missing indexes. This knowledge can help in rewriting queries to improve performance. Caching frequently accessed data, partitioning large tables, and using query hints or query optimization techniques like query rewriting or query hints can also be valuable for optimization.

Apart from the aforementioned strategies, optimizing the configuration of the database server can greatly impact query performance. Adjusting parameters like memory allocation, buffer sizes, and concurrency settings can make a significant difference. Utilizing query optimization tools, such as query analyzers or performance monitoring tools, can also provide insights into query bottlenecks and help identify areas for improvement. It's important to note that query performance optimization is an ongoing process, and regular monitoring and fine-tuning are crucial for maintaining optimal performance.

One strategy to optimize SQL query performance is to use indexes on the appropriate columns. This can speed up data retrieval by allowing the database to quickly locate the desired data. Another approach is to rewrite queries to use JOINs instead of subqueries, as JOINs are often more efficient. Additionally, optimizing database schema design, avoiding unnecessary operations like DISTINCT or unnecessary sorting, and using appropriate data types can also contribute to better performance.