Common causes of slow queries include poorly written SQL statements, inefficient indexing, lack of database normalization, and insufficient server resources.
Analyzing query execution plans can help identify bottlenecks for effective optimization.
Optimization techniques include choosing the right indexes, optimizing table structures, and writing efficient SQL code.
MySQL and PostgreSQL have different indexing and query optimization features. Understanding these differences is important for effective optimization.