Amazon DynamoDB + MongoDB Integrations

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

About Amazon DynamoDB

Amazon DynamoDB is a fully managed NoSQL database service offered by Amazon.com as a part of their Amazon Web Services portfolio. Many of the world’s renowned businesses and enterprises use DynamoDB to support their mission-critical workloads.

About MongoDB

MongoDB is an open-source document-based database management tool that stores data in JSON-like formats. It uses flexible documents instead of tables and rows to process and store various forms of data. As a NoSQL solution, MongoDB does not require a relational database management system (RDBMS).

MongoDB Integrations

Best Amazon DynamoDB and MongoDB Integrations

  • Amazon DynamoDB Amazon DynamoDB

    Amazon DynamoDB + Amazon DynamoDB

    Get IP2Location information for IP addresses from new AWS DynamoDB items and store it in a separate table Read More...
    When this happens...
    Amazon DynamoDB New Item
    Then do this...
    Amazon DynamoDB Create Item
    Amazon Web Services DynamoDB is a NoSQL database for applications to store and retrieve data, but it doesn't come with geolocation features built-in. That's where this automation comes in. Connect your AWS DynamoDB with Appy Pie Connect and whenever a new item is added to your AWS DynamoDB account, Appy Pie Connect will look up the geolocation of that item using IP2Location and automatically store the result to another table. You can use this automation for any IP on any AWS region.
    How This Integration Works
    • A new item is added to an AWS DynamoDB table
    • Appy Pie Connect sends an IP from it to IP2Location for geolocation query and then automatically add the results to another AWS DynamoDB table
    What You Need
    • AWS DynamoDB
    • IP2Location
  • Amazon DynamoDB Google Sheets

    MongoDB + Google Sheets

    Create new rows in Google Sheets for new MongoDB documents Read More...
    When this happens...
    Amazon DynamoDB New Document
    Then do this...
    Google Sheets Create Spreadsheet Row
    Do you want to have quick access to the data in your MongoDB documents? Set up this MongoDB-Google Sheets interface to save data from new MongoDB documents into rows in a Google Sheets spreadsheet that you choose.
    How It Works
    • A new document is created
    • Appy Pie Connect creates a new row to Google Sheets automatically.
    What You Require
    • MongoDB account
    • Google Sheets account
  • Amazon DynamoDB Slack

    MongoDB + Slack

    Send Slack messages for new MongoDB documents
    When this happens...
    Amazon DynamoDB New Document
    Then do this...
    Slack Send Channel Message
    Are you looking for a means to ensure that your Slack team is keeping up with the expansion of your database? Set up this Connect Flow to send a message. Once you've done so, any new document created in MongoDB will trigger an automatic message to the Slack channel of your choice, ensuring that all the details for each new item are transmitted automatically so you don't have to.
    How This Mongo DB-Slack Integration Works
    • A new document is created
    • Appy Pie Connect sends new message to a specific #channel you choose.
    What You Require
    • MongoDB account
    • Slack account
  • Amazon DynamoDB MailChimp

    MongoDB + MailChimp

    Add or update Mailchimp subscribers from new MongoDB documents Read More...
    When this happens...
    Amazon DynamoDB New Document
    Then do this...
    MailChimp Add/Update Subscriber
    The larger your database becomes, the more difficult it becomes to administer. Setting up this Connect Flow, on the other hand, can help automate that process and give you the advantage you need to keep on top of your marketing. Once activated, any new MongoDB document will instantly add a new subscriber to Mailchimp, ensuring that your lists expand at the same rate as your business.
    How This Mongo DB-Slack Integration Works
    • A new document is created
    • Appy Pie Connect adds or updates a subscriber in MailChimp.
    What You Require
    • MongoDB account
    • MailChimp account
  • Amazon DynamoDB MailChimp

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

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

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

  • New Item

    Trigger when new item created in table.

  • New Table

    Trigger when new table created.

  • New Collection

    Triggers when you add a new collection.

  • New Database

    Triggers when you add a new database.

  • New Document

    Triggers when you add a new document to a collection.

  • New Field

    Triggers when you add a new field to a collection.

  • Create Item

    Creates new item in table.

  • Create Document

    Create a new document in a collection of your choice.

How Amazon DynamoDB & MongoDB Integrations Work

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

    (30 seconds)

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

    (10 seconds)

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

    (30 seconds)

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

    (10 seconds)

  5. Step 5: Authenticate MongoDB 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 DynamoDB and MongoDB

Amazon DynamoDB?

Amazon DynamoDB is a highly scalable, low-latency NoSQL database service that provides fast and predictable performance with seamless scalability. It is a fully managed cloud database and supports both document and key-value store models. With the ability to quickly and easily scale throughput and storage, you can elastically scale capacity up or down within seconds. DynamoDB offers built-in high availability with automatic failover to a replicated secondary instance, allowing customers to completely avoid planned downtime. The throughput capacity of a single DynamoDB table is limited only by the throughput capacity of the underlying Amazon EC2 instance type. DynamoDB is designed to deliver at least 99.9% (11 nines. yearly uptime and stores data for one year. DynamoDB provides both requests per second (RPS. and read and write capacity units (RCUs. For more information about Amazon DynamoDB visit https://aws.amazon.com/dynamodb/.


A free and open source cross-platform document-oriented database program, MongoDB allows you to store data using flexible schemas. It features dynamic schema, indexing for high performance, and rich queries. The latest version as of this writing is 3.4. MongoDB 3.4 comes with the fplowing new features such as:

MongoDB Atlas — a fully managed service which includes MongoDB Enterprise, Ops Manager, Backup & Restore, Auto-Sharding, and other advanced features

MongoDB Stitch — an Application Integration Platform for building connected apps

Community support for additional programming languages (Go, Java, Python, C#, and Ruby)

For more information about MongoDB visit https://www.mongodb.com/.

Integration of Amazon DynamoDB and MongoDB

MongoDB Atlas is an on-demand hosted database service that allows you to access your data through the MongoDB API without having to install any software or hardware. You can set up your own cluster either in the cloud or on-premises using EC2 instances. MongoDB Atlas offers many features that will make the lives of developers easier such as auto-sharding to replicate data across multiple servers; backup & restore; monitoring; security updates; performance metrics; replication settings (w. rabbitmq, w. zookeeper, w. cross data center replication); and more. For more information about MongoDB Atlas visit https://www.mongodb.com/atlas/.

Let’s say we have two applications. one application uses Amazon DynamoDB and another application uses MongoDB Atlas. Both applications depend on each other to work properly. Applications can use MongoDB to store records in a single cplection with a single master node. When a change occurs in one application it must be reflected in the other application by updating their records accordingly. This process takes time (e.g., milliseconds. and thus creates problems for applications with high latency requirements or with frequent updates like online games or financial trading systems. However, if both applications use Amazon DynamoDB, we can use its feature called Global Secondary Indexes or GSI to synchronize both databases in real time instantly in milliseconds instead of waiting a long time.

Global Secondary Indexes are tables that are created on top of existing Amazon DynamoDB tables. They are used to provide a queryable view over the existing table with additional attributes not present in the original table (such as computed values based on primary key or attribute values from the original table. Global Secondary Indexes can also be used to partition a table into multiple smaller tables thereby increasing scale and reducing costs by decreasing the provisioned read and write capacity units required on the table. For more information about Global Secondary Indexes visit https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/GSI_Indexes_Overview.html#GSI_Indexes_Overview.

Benefits of Integration of Amazon DynamoDB and MongoDB

The benefits of using Global Secondary Indexes are:

The process to integrate Amazon DynamoDB and MongoDB 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.