Why database as queue so bad?
- Suggest building your system in a way you could swap out the database-based queue system for a middleware solution.
- Queue based system like RabbitMq are built around massive scale on moderate hardware.
- Databases are optimized for transactional consistency and durability, whereas message queues are optimized for message throughput and low latency. As a result, using a database as a message queue can lead to performance issues and high latency, especially when the queue size becomes large.
- Databases typically provide blocking mechanisms such as locks, which can interfere with the scalability and performance of a message queue.
- Since message queues rely on parallel processing and asynchronous operations, using a database can limit the number of messages that can be processed concurrently.
Overall, while using a database as a message queue can be a reasonable choice for small-scale applications with low throughput and latency requirements, it may not be the best option for large-scale, high-performance systems that require efficient message processing and routing. In such cases, specialized message queue solutions such as RabbitMQ, Kafka, or AWS SQS may be more appropriate.