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Bubble.io and Amazon DynamoDB integration: Step-by-Step Guide 2024

Discover a step-by-step guide on integrating Bubble.io with Amazon DynamoDB via AWS Lambda and API Gateway. Elevate your database operations with this helpful tutorial.

What is Amazon DynamoDB?

Amazon DynamoDB is a fully managed NoSQL database service provided by Amazon Web Services (AWS). It offers fast and predictable performance with scalability. DynamoDB allows users to create database tables that can store and retrieve any amount of data and serve any level of request traffic. This service automatically distributes data and traffic over servers to dynamically manage each customer's requests, offering high availability and data durability.

Matt Graham, CEO of Rapid Developers

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How to integrate Bubble.io with Amazon DynamoDB?

Bubble.io does not directly support integration with Amazon DynamoDB out of the box. However, you can perform this integration by creating a RESTful API using AWS Lambda and API Gateway, then consuming that API in Bubble.io.

Here's a step by step guide to integrate Bubble.io with Amazon DynamoDB:

Step 1: Setting up AWS CLI

Before you proceed ensure AWS CLI (Command Line Interface) is installed and configured on your machine. Refer to the official AWS CLI documentation for the instructions on the same.

Step 2: Create a DynamoDB Table

Create a DynamoDB table with the required attributes. Remember, when using the table, the item's identity is composed of a Partition key, and optionally, a sort key.

You can create a table from AWS CLI with following command:

aws dynamodb create-table --table-name YOUR-TABLE-NAME --attribute-definitions AttributeName=YOUR-PARTITION-KEY,AttributeType=S AttributeName=YOUR-SORT-KEY,AttributeType=N --key-schema AttributeName=YOUR-PARTITION-KEY,KeyType=HASH AttributeName=YOUR-SORT-KEY,KeyType=RANGE --provisioned-throughput ReadCapacityUnits=5,WriteCapacityUnits=5

Replace YOUR-TABLE-NAME, YOUR-PARTITION-KEY and YOUR-SORT-KEY with appropriate values.

Step 3: Creating the Lambda Function

You will need to package your function code and dependencies in a .zip file to create the Lambda function.

  • Create a .js file with following content:
var aws = require('aws-sdk');
aws.config.region = 'us-east-1'; // Replace with your AWS region
var dynamodb = new aws.DynamoDB();

exports.handler = (event, context, callback) => {

    var params = {
        TableName : "YOUR-TABLE-NAME", // Replace with your table name
        Key: { 
            "YOUR-PARTITION-KEY" : {S: "VALUE"},  // Replace with your partition key and its value
            "YOUR-SORT-KEY" : {N: "VALUE"} // Replace with your sort key and its value, remove if you do not have a sort key
        }
    };

    dynamodb.getItem(params, function(err, data) {
        if (err) {
            callback(err, null);
        } else {
            callback(null, data);
        }
    });
};

Replace YOUR-TABLE-NAME, YOUR-PARTITION-KEY and YOUR-SORT-KEY with appropriate values.

  • Then package the AWS SDK and this script in a .zip file.

Step 4: Deploying the Lambda Function

Deploy the function on AWS Lambda using the AWS CLI with the following command:

aws lambda create-function --function-name FUNCTION-NAME --runtime nodejs12.x --role ROLE-ARN --handler HANDLER-FILE-NAME.handler --zip-file fileb://file-path/ZIP-FILE-NAME.zip

Replace FUNCTION-NAME with a name for your AWS Lambda Function, ROLE-ARN with the Amazon Resource Name(ARN) for the AWS IAM Role, HANDLER-FILE-NAME with the name of your JavaScript file, and ZIP-FILE-NAME with the path to your .zip file.

Step 5: Setting up API Gateway

After creating the AWS Lambda function, you will need to expose it as a REST API that can be integrated with Bubble.io:

  • Go to the API Gateway service on AWS Console.
  • Click on Create API
  • Choose REST API and click on Build
  • Configure the API according to your needs
  • Create a GET method for the Resource
  • Inside the GET method, choose the Lambda function you created
  • Deploy the API

Step 6: Integrate with Bubble.io

  • Go to your app on Bubble.io
  • Navigate to the Plugins tab and install the API Connector plugin
  • Navigate to the API tab and add a new API
  • Set the API URL to the Invoke URL of the AWS API Gateway
  • Set the method to GET
  • Set the parameters and headers as needed
  • Initialize and test the call
  • After successful initialization, you can consume the API in your workflows.

That's it, your Bubble.io app is now integrated with Amazon DynamoDB via AWS Lambda and AWS API Gateway. You can use the same methodology to perform CRUD operations on the DynamoDB Table. However, you will need to modify the code in the Lambda function and configure corresponding API Gateway methods (POST, PUT, DELETE etc.) for each operation.

Bubble.io and Amazon DynamoDB integration usecase

Scenario: An online clothing boutique wants to implement a personalized recommendation system using historical purchase data of their customers. They use Bubble.io to design and develop their website including shopping cart functionality. They wish to store this data in a scalable and suitable database like Amazon DynamoDB and retrieve it to generate personalized recommendations.

Solution: Integrating Bubble.io with Amazon DynamoDB

Website and Shopping Cart Creation: The boutique uses Bubble.io to develop their e-commerce website. The website includes a shopping cart that collects information such as product details, customer ID, and purchase history.

Setting Up the Integration: The boutique installs the Amazon DynamoDB plugin on Bubble.io and connects it with their DynamoDB API. This enables a seamless connection between the website and the database.

Data Collection Workflow: When a customer makes a purchase, the shopping cart data including customer ID, product details, and purchase history are automatically sent to Amazon DynamoDB. Guided by workflows set up in Bubble.io, this data is stored under respective identifiers in DynamoDB.

Generating Personalized Recommendations: The boutique's recommendation algorithm retrieves historical purchase data for a specific customer from DynamoDB whenever they log in. This data is used to present personalized product recommendations to the customer on the boutique's website.

Benefits:

Efficiency: Automating the data collection process ensures accuracy and timely analysis of customer data.

Scalability: Amazon DynamoDB can handle large amounts of data and continue to perform efficiently as data grows, allowing the boutique to increase its customer base without worrying about data management.

Personalization: Harnessing the stored data enhances personalization by providing insights into customer behavior, allowing targeted product recommendations.

Real-time Analysis: Amazon DynamoDB's fast and consistent performance ensures real-time data analysis for generating recommendations.

By implementing Amazon DynamoDB with Bubble.io, the online boutique is able to create a more engaging shopping experience with personalized recommendations based on the customer's purchase history, driving customer satisfaction and sales.

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