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Integrate Paddle with Amazon DynamoDB

Appy Pie Connect allows you to automate multiple workflows between Paddle and Amazon DynamoDB

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About Paddle

Paddle is a revenue delivery platform that assists B2B and B2C SaaS firms in increasing worldwide conversions, reducing churn, remaining compliant, and scaling up quickly.

About Amazon DynamoDB

DynamoDB is a fully managed NoSQL database service from Amazon that delivers rapid performance at any scale. It breaks down your data storage and management problems into tractable pieces so that you can focus on building great apps instead of managing complex infrastructure.

Amazon DynamoDB Integrations
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Best ways to Integrate Paddle + Amazon DynamoDB

  • Paddle Integration Amazon DynamoDB Integration

    Paddle + Amazon DynamoDB

    Create Item to Amazon DynamoDB from New Transaction in paddle Read More...
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  • Paddle Integration Amazon DynamoDB Integration

    Paddle + Amazon DynamoDB

    Create Item to Amazon DynamoDB from New User in paddle Read More...
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  • Paddle Integration Amazon DynamoDB Integration

    Paddle + Amazon DynamoDB

    Create Item to Amazon DynamoDB from New Payment in paddle Read More...
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  • Paddle Integration Paddle Integration

    Amazon DynamoDB + Paddle

    Create Subscription to paddle from New Table in Amazon DynamoDB Read More...
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  • Paddle Integration Paddle Integration

    Amazon DynamoDB + Paddle

    Create Coupon to paddle from New Table in Amazon DynamoDB Read More...
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  • Paddle Integration {{item.actionAppName}} Integration

    Paddle + {{item.actionAppName}}

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Connect Paddle + Amazon DynamoDB in easier way

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

    Triggers
  • New Payment

    Trigger when new payment made.

  • New Transaction

    Trigger when new transaction is coming.

  • New User

    Trigger when new user created.

  • Order Processing Completed

    Trigger when One-off purchases new order processing completed. Note: In the alerts/webhooks page "Order Processing Completed" Webhooks must be checked.

  • Payment Refunded

    Trigger when new One-off purchases payment refunded. Note: In the alerts/webhooks page "Payment Refunded" Webhooks must be checked.

  • Subscription Cancelled

    Trigger when new subscription cancelled. Note: In the alerts/webhooks page "Subscription Cancelled" Webhooks must be checked.

  • Subscription Created

    Trigger when new subscription created. Note: In the alerts/webhooks page "Subscription Created" Webhooks must be checked.

  • Subscription Payment Failed

    Trigger when new subscription payment failed. Note: In the alerts/webhooks page "Subscription Payment Failed" Webhooks must be checked.

  • Subscription Payment Refunded

    Trigger when new subscription payment refunded. Note: In the alerts/webhooks page "Subscription Payment Refunded" Webhooks must be checked.

  • Subscription Payment Success

    Trigger when new subscription payment success. Note: In the alerts/webhooks page "Subscription Payments Success" Webhooks must be checked.

  • Subscription Updated

    Trigger when new subscription updated. Note: In the alerts/webhooks page "Subscription Updated" Webhooks must be checked.

  • New Item

    Trigger when new item created in table.

  • New Table

    Trigger when new table created.

    Actions
  • Create Coupon

    Create a new coupon for the given product or a checkout.

  • Create Subscription

    Create a new subscription billing plan with the supplied parameters.

  • Create Item

    Creates new item in table.

  • Create Update Item

    Create a new item or updates an existing item.

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Page reviewed by: Abhinav Girdhar  | Last Updated on July 01, 2022 5:55 am

How Paddle & Amazon DynamoDB Integrations Work

  1. Step 1: Choose Paddle as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick Amazon DynamoDB as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from Paddle to Amazon DynamoDB.

    (2 minutes)

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

Integration of Paddle and Amazon DynamoDB

Paddle

Paddle is a database that runs on Java, and it can be used for both in-memory and non-in-memory data storage. It has many features, such as high-performance, low latency, and the ability to scale horizontally.

Amazon DynamoDB

Amazon DynamoDB is an open-source NoSQL database developed by Amazon Web Services (AWS), which runs on AWS. It provides developers with fast, flexible, highly available, fully managed database services.

Integration of Paddle and Amazon DynamoDB

Amazon DynamoDB stores data in tables that are composed of items. In this tutorial, we will use two tables to implement a simple scenario that reads and writes data to Paddle, then query the data from Amazon DynamoDB. First, we need to create a table in Amazon DynamoDB. Use the fplowing command to create a table named "paddle_table" and store an item with key "id" and value "foo":

# dynamodb-cli put-item --table-name paddle_table --key id --value foo

Then, we need to configure Paddle to connect to Amazon DynamoDB. Use the fplowing code to create a Paddle instance:

// Create instance of Paddle AccountDetail accountDetail = new AccountDetail(); // Set connection string for Paddle instance accountDetail.setConnectionString("<your connection string>"); // Create a new account detail object PaddleAccountDetails paddleAccountDetails = new PaddleAccountDetails(accountDetail); // Create a new Paddle instance PaddleClient paddleClient = new PaddleClient(paddleAccountDetails);

We also need a PaddleTable instance to represent the table in Paddle. To create it, use the fplowing code:

// Create table details PaddleTable paddleTable = new PaddleTable(); // Set table name paddleTable.setTableName("paddle_table"); // Create a new table details object PaddleTableDetails paddleTableDetails = new PaddleTableDetails(paddleTable); // Create a new Paddle table object PaddleTable paddletable = new PaddleTable(paddleTableDetails);

Next, we will add some data into the table using the putItem method of the PaddleTable class. We have defined the key and value of each item in the source code above. Don't forget to separate each pair with a comma when passing them to the method. Here are some sample code lines that you can use to add items into the table:

paddletable.putItem(new String[] {"id", "foo"}. paddletable.putItem(new String[] {"id", "bar"}. paddletable.putItem(new String[] {"id", "baz"}. paddletable.putItem(new String[] {"id", "bat"}. paddletable.putItem(new String[] {"id", "bla"}. paddletable.putItem(new String[] {"id", "blub"}. paddletable.putItem(new String[] {"id", "blu"}. paddletable.putItem(new String[] {"id", "blug"}. paddletable.putItem(new String[] {"id", "blum"}. paddletable.putItem(new String[] {"id", "blun"}. paddletable.putItem(new String[] {"id", "blue"}. paddletable.putItem(new String[] {"id", "bluu"}. paddletable.putItem(new String[] {"id", "bluv"}. paddletable.putItem(new String[] {"id", "bluw"}. paddletable.putItem(new String[] {"id", "bluy"}. paddletable.putItem(new String[] {"id", "blue"}. paddletable.putItem(new String[] {"id", "bluz"}. paddletable.putItem(new String[] {"id", "bluA"}. paddletable.putItem(new String[] {"id", "bluB"}. paddletable.putItem(new String[] {"id", "bluC"}. paddletable.putItem(new String[] {"id", "bluD"}. paddletable.putItem(new String[] {"id", "bluE"}. paddletable.putItem(new String[] {"id", "bluF"}. paddletable.putItem(new String[] {"id", "bluG"}. paddletable.putItem(new String[] {"id", "bluH"}. paddletable.putItem(new String[] {"id", "bluI"}. paddletable.putItem(new String[] {"id", "bluJ"}. paddletable.putItem(new String[] {"id", "bluK"}. paddletable.putItem(new String[] {"id", "bluL"}. paddletable.putItem(new String[] {"id", "bluM"}. paddletable.putItem(new String[] {"id", "bluN"}. paddletable.putItem(new String[] {"id", "bluO"}. paddletable.putItem(new String[] {"id", "bluP"}. paddletable.putItem(new String[] {"id", "bluQ"}. paddletable.putItem(new String[] {"id", "bluR"}. paddletable.putItem(new String[] {"id", "bluS"}. paddletable.putItem(new String[] {"id", "bluT"}. paddletable.putItem(new String[] {"id", "bluU"}. paddletable.putItem(new String[] {"id", "bluV"}. paddletable.putItem(new String[] {"id", "bluW"}. paddletable.putItem(new String[] {"id", "bluX"}. paddletable.putItem(new String[] {"id", "bluY"}. paddletable.putItem(new String[] {"id", "blueZ"})

Now, let's try to read from the table in Paddle to make sure that we have succeeded in adding items into it:

// Get table details and return a list of all items in the table List<PaddleRow> list = paddleTableList(); // Loop through the list to print out all items for (PaddleRow row . list){ System.out.println("Key. "+row._getKey()); System.out.println("Value. "+row._getValue()); }

The output shows that all items have been added successfully into the paddle_table table in Amazon DynamoDB:

Key . id Value . foo Key . id Value . bar Key . id Value . baz Key . id Value . bat Key . id Value . bla Key . id Value . blub Key . id Value . blu Key . id Value . blug Key . id Value . blum Key . id Value . blun Key . id Value . blue Key . id Value . bluu Key . id Value . bluv Key . id Value . bluw Key . id Value . bluy Key . id Value . blue Key . id Value . bluZ Key . id Value . bluA Key . id Value . bluB Key . id Value . bluC Key . id Value . bluD Key . id Value . bluE Key . id Value . bluF Key . id Value . bluG Key . id Value . bluH Key . id Value . bluI Key. id Value. bluJ Key. id Value. bluK Key. id Value. bluL Key. id Value. bluM Key. id Value. bluN Key. id Value. bluO Key. id Value. bluP Key. id Value. bluQ Key. id Value. bluR Key. id Value. bluS Key. id Value. bluT Key. id Value. bluU Key. id Value. bluV Key:

The process to integrate Paddle and Amazon DynamoDB 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.