Amazon SQS + PostgreSQL Integrations

Appy Pie Connect allows you to automate multiple workflows between Amazon SQS and PostgreSQL

About Amazon SQS

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.

About PostgreSQL

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
PostgreSQL Alternatives

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Best Amazon SQS and PostgreSQL Integrations

  • Amazon SQS Amazon SQS

    Gmail + Amazon SQS

    Create Amazon SQS JSON messages for emails matching search term on Gmail [REQUIRED : Business Gmail Account] Read More...
    When this happens...
    Amazon SQS New Email Matching Search
    Then do this...
    Amazon SQS Create JSON Message

    If you use email content to create an Amazon SQS message, then this integration is for you. Once you set up this Gmail-Amazon SQS integration, it will trigger every time a new email matching your search term is received in your Gmail account, instantly adding a new JSON message to Amazon SQS to ensure that your pipeline is always moving. With Appy Pie Connect, you can set up this integration without writing a single line of code.

    Note: To use this integration you must have a Business Gmail account.

    How this works
    • A new email matching your search term is received
    • Appy Pie Connect automatically creates a new JSON message on Amazon SQS.
    What You Need
    • A Gmail account
    • An Amazon SQS account
  • Amazon SQS Amazon SQS

    {{item.triggerAppName}} + {{item.actionAppName}}

    {{item.message}}
    When this happens...
    Amazon SQS {{item.triggerTitle}}
    Then do this...
    {{item.actionAppImage}} {{item.actionTitle}}
Connect Amazon SQS + PostgreSQL in easier way

It's easy to connect Amazon SQS + PostgreSQL without coding knowledge. Start creating your own business flow.

  • New Queue

    Triggers when you add a new queue

  • New Column

    Triggered when you add a new column.

  • New Row

    Triggered when you add a new row.

  • New Row (Custom Query)

    Triggered when new rows are returned from a custom query that you provide. Advanced Users Only

  • Create JSON Message

    Create a new JSON message using data from the source trigger

  • Create Message

    Create a new message.

  • Create Queue

    Create a new queue

  • Create Row

    Adds a new row.

  • Update Row

    Updates an existing row.

How Amazon SQS & PostgreSQL Integrations Work

  1. Step 1: Choose Amazon SQS as a trigger app and Select "Trigger" from the Triggers List.

    (30 seconds)

  2. Step 2: Authenticate Amazon SQS with Appy Pie Connect.

    (10 seconds)

  3. Step 3: Select PostgreSQL as an action app.

    (30 seconds)

  4. Step 4: Pick desired action for the selected trigger.

    (10 seconds)

  5. Step 5: Authenticate PostgreSQL with Appy Pie Connect.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of Amazon SQS and PostgreSQL

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.

    Integration of Amazon SQS and PostgreSQL

Integration of Amazon SQS and PostgreSQL can be done by using the C/C++ programming language. The libraries used are libpq and libcurl. A program will be written to read message from Amazon SQS and write to the database table. The steps are as follows:A1. Read Message from Amazon SQSA2. Write Message to PostgreSQL Table

    Benefits of Integration of Amazon SQS and PostgreSQL

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.

The process to integrate Amazon SQS and PostgreSQL may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick solution to help you automate your workflows. Click on the button below to begin.