Amazon SQS is a fully managed message queuing service. It offers reliable, highly scalable, reliable messaging and transaction processing that lets you decouple tasks or processes that must communicate.
PostgreSQL is a leading object-relational database management system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads.PostgreSQL Integrations
Amazon SQS + PostgreSQLUpdate Row in PostgreSQL when New Queue is created in Amazon SQS Read More...
PostgreSQL + Amazon SQSCreate JSON Message to Amazon SQS from New Row in PostgreSQL Read More...
It's easy to connect Amazon SQS + PostgreSQL without coding knowledge. Start creating your own business flow.
Triggers when you add a new queue
Triggered when you add a new column.
Triggered when you add a new row.
Triggered when new rows are returned from a custom query that you provide. Advanced Users Only
Create a new JSON message using data from the source trigger
Create a new message.
Create a new queue
Adds a new row.
Updates an existing row.
Amazon SQS (Simple Queue Service. is a message-based system used for decoupling the components of a distributed application. It provides a push model, where the message producer can publish messages to a queue, and the message consumer can read them from that same queue. Amazon SQS also provides clients with the ability to receive acknowledgement that a message has been received, which can be implemented by setting up a "receive acknowledgment" flag on the message. (Amazon Web Services, 2015.
PostgreSQL is an object-relational database management system that supports extensibility through procedural languages. It has built-in data types, operators, functions, and index methods. While PostgreSQL can be installed on a single machine, it is more commonly used in a cluster configuration. PostgreSQL uses port 5432 by default. (PostgreSQL Documentation, 2015.
Since Amazon SQS is a push based system, when a message is placed in an SQS queue, it would not be read until a client requests it. Therefore, the benefit of using Amazon SQS is that if a client fails to read the message, it would not have any adverse effects on the database or application. This is because messages placed in an Amazon SQS queue exist independently of both the message producer and consumer. (Amazon Web Services, 2015.
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