Here are a few title options, focusing on the question of how to handle case-sensitive queries across different databases: * How to Achieve Case-Insensitive LIKE Queries Across MySQL and Postgres? *

Cross-Database Case-Insensitive Queries: MySQL and Postgres

Problem:

Developments using MySQL and deployment to Heroku, which utilizes Postgres, lead to inconsistent behavior in case-insensitive LIKE statements where Heroku enforces case sensitivity while MySQL does not.

Potential Solutions:

• Using iLike statements for Postgres: This is not feasible as MySQL is unable to handle such statements.
• Writing separate LIKE and iLike statements based on the target database: This approach introduces maintenance complexity.

Discussion:

The optimal solution to this dilemma aligns with development best practices:

• Maintain Homogeneity in the Software Stack: Utilize the same software stack (including database) in both development and production environments. Disparities between the two can lead to unforeseen bugs.
• Check Database Configurations: Verify that database configurations, including collations, are identical in both MySQL and Postgres. Discrepancies can result in inconsistent behavior, not only with LIKE statements but also with other operations like ORDER BY.

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