Using a database as a message queue can be a risky choice, causing performance and growth problems as systems expand.Issues like database overloading and complex data handling can arise when databases are used for messaging.Dedicated message queues are a superior choice for building strong and scalable systems.Frequent polling in database message queues can lead to database overload and performance bottlenecks.Database read-write conflicts arise as databases are not optimized for handling both operations efficiently.The storage bloat and deletion dilemmas pose challenges when managing message data within a database.As systems grow, using a database as a message queue becomes a scalability bottleneck.Message queues offer a more efficient alternative by pushing messages directly to servers.Specialized message queues are designed for messaging, providing features like guaranteed delivery and scalability.In small-scale systems with low message volume, using a database as a message queue may be acceptable.