Rethink Your Queue: Databases Over In-Memory Stores

Utilizing a traditional database like PostgreSQL, MySQL, or SQLite for job running and caching instead of relying solely on in-memory stores like Redis can provide multiple benefits. This approach allows for enhanced introspection, the use of standardized tools, and increased data storage space. While databases may have initial trade-offs in performance compared to in-memory solutions, advancements in databases have made them more efficient for query structures utilized by job engines. For small-scale deployments and experiments, using a database as a backend for queuing proves viable, demonstrating that separation between caching and job management is no longer necessary. As industry perspectives shift, using a database for queue management that would have raised eyebrows five years ago is now recognized as a legitimate strategy.