Amazon SQS + Databox Integrations

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

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 Databox

Databox is a business analytics platform built to help you understand what's going on with your business and keep KPIs from cloud services, spreadsheets, databases in one place.

Databox Integrations

Best Amazon SQS and Databox 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 + Databox in easier way

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

  • New Queue

    Triggers when you add a new queue

  • 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

  • Increase Counter

    Increment a specified metric by 1 every time this action happens.

  • Push Custom Data

    Push any custom data to Databox.

How Amazon SQS & Databox 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 Databox as an action app.

    (30 seconds)

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

    (10 seconds)

  5. Step 5: Authenticate Databox 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 Databox

Amazon SQS is a highly reliable, scalable, and fully managed message queuing service. It is used to capture and process messages in a queue, such as those that are generated by web applications, hosted services, mobile apps, and IoT devices. Amazon SQS provides simple message queuing capabilities that let you focus on your application logic instead of the underlying messaging infrastructure. The Amazon SQS Extended Client Library for Java is an open-source library for accessing Amazon Simple Queue Service (SQS. from Java applications. It offers full support for the latest APIs.


Databox is a cloud-based data analytics platform that enables you to easily cplect, store, analyze and visualize your data from multiple sources. It integrates with over 200 different data sources and makes it easy to create custom data connectors or use connectors that come out of the box. Integrating with Amazon SQS using Databox is extremely easy. You simply select Amazon SQS as your datasource and then decide how you want to use your data.

Integration of Amazon SQS and Databox

Integration of Databox with Amazon SQS using Databox is extremely easy. You simply select Amazon SQS as your datasource and then decide how you want to use your data. Once the integration is done, you can visualize your data in realtime or download it into a .csv file or .json file. This way, you can take action based on the insights you receive from Databox.

Benefits of Integration of Amazon SQS and Databox

The benefits of integrating Databox with Amazon SQS are quite numerous. Here are some of them:

You can easily integrate all your data sources into one place so you can make data-driven decisions in real time.

You can get a complete 360° view of your business. You don’t have to spend hours every day trying to find your data because it’s all in one place.

All your analytics are interactive so you can see how things are changing over time and what the impact will be.

You can visualize and analyze any kind of data – whether it’s source code, sensors, documents, or website traffic – within seconds. This means you can quickly identify correlations and outliers in data that could be impacting your business’s performance.

You can get answers from real-time data when something goes wrong in your business. For example, if an order has been canceled on Shopify, you can instantly find out why; if you’re getting fewer sales than usual on eBay, you can find out what’s going on; if there’s a spike in customer complaints, you can easily investigate what’s happening. These insights can help you take action before a problem spirals out of contrp.

You can monitor the effectiveness of campaigns and marketing initiatives by measuring their impact on key performance indicators (KPIs. For example, if you’re running a promotion on Facebook ads which costs $10,000 per month, how do you know if it’s working? If you track KPIs like revenue per visitor, conversion rate, or ROI, then you can see how much revenue the campaign has generated and how much each visitor has cost. This will help you understand whether the campaign is worth continuing or if it needs to be changed or stopped.

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