Conversely, many mainstream NoSQL databases, like Azure Cosmos DB and Amazon DynamoDB, utilize stateless, HTTP-based protocols that handle each request independently.
Idle connections may encounter issues due to network conditions, such as NAT timeouts or dropped connections, or database state changes, such as session invalidation or transaction timeouts, potentially triggering reconnection processes that introduce additional overhead and performance penalties.
Public endpoints, commonly used in cloud-hosted databases, often introduce higher latency compared to private or direct connections.
In modern cloud architectures like AWS, effective connection pooling management is critical for optimizing performance, scalability, and resource utilization.
Environmental factors, including service-tier limits in Azure SQL Database and resource constraints in Managed Instance, may indirectly affect pooling performance.
The stateless, HTTP-based architecture of Cosmos DB facilitates scalable and concurrent operations without the limitations typically associated with traditional connection pooling mechanisms.