In addition to the mentioned suggestions, one can also consider denormalizing certain tables to reduce the number of joins required in queries. Caching frequently accessed data using tools like Redis or Memcached can also help improve performance. Finally, utilizing proper database configurations and hardware optimizations, such as partitioning, can have a significant impact on query speed.

Apart from the options mentioned above, writing efficient SQL queries involves utilizing appropriate database functions and operators to perform tasks instead of relying on application code. Another technique is to batch or chunk data retrieval when dealing with large result sets. Lastly, implementing query tuning techniques like query rewriting or using query hints can further optimize performance.

One way to optimize performance is by creating indexes on frequently queried columns. This helps in faster retrieval of data. Another way is to rewrite complex queries using appropriate joins and subqueries. Additionally, using the EXPLAIN statement can provide insights into query execution plans and help identify performance bottlenecks.