Integrate MongoDB with MailChimp

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

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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).

About MailChimp

MailChimp is all-in-one e-mail marketing platform that fits everything you need to know about your subscribers into one neat and organized place. Its powerful features and embeddable sign up forms help you build an engaged audience you can communicate with easily anywhere and anytime.

Want to explore MongoDB + MailChimp quick connects for faster integration? Here’s our list of the best MongoDB + MailChimp quick connects.

Explore quick connects

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Connect MongoDB + MailChimp in easier way

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

  • Triggers
  • 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.

  • Cleaned Subscriber

    Triggers when a cleaned subscriber

  • Click Report Members

    Triggers when member click a link.

  • New Campaign

    Triggers every time a new campaign is created or sent.

  • New List

    Triggers when a new list is added.

  • New Subscriber

    Triggers whenever a new subscriber is added to a list.

  • Unsubscribe Subscriber

    Triggers when a unsubscribe subscriber

  • Updated Subscriber

    Triggers whenever a subscriber is added or updated in a list.

  • Actions
  • Create Document

    Create a new document in a collection of your choice.

  • Add Member Note

    Adds a new note to an existing subscriber.

  • Add Subscriber to Segment

    Add subscriber's email address to a static segment within a list. Note: the email address must already be subscribed to the list, or this will fail.

  • Add Subscriber to Tag

    Add an email address to a tag within a list. Note: the email address must already be subscribed to the list, or this will fail.

  • Add/Update Subscriber

    Add a new subscriber to a list of your choice. (Note: This Connect can be used to update an existing subscriber too.)

  • Create Campaign

    Set up a campaign draft.

  • Send Campaign

    Sends a campaign draft.

  • Unsubscribe Email

    Unsubscribe an email address from your selected list.

How MongoDB & MailChimp Integrations Work

  1. Step 1: Choose MongoDB 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 MailChimp 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 MongoDB to MailChimp.

    (2 minutes)

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

Integration of MongoDB and MailChimp

MongoDB is a NoSQL database. It’s a cross-platform document-oriented database designed for ease of development and scaling. MongoDB uses JSON-like documents with dynamic schemas.

MailChimp is a popular email marketing service that allows users to manage their lists of subscribers, create and send campaigns, and track results. In this article, I will discuss the integration of these two platforms.

  • Integration of MongoDB and MailChimp
  • The integration of MongoDB and MailChimp is a powerful combination for marketers. Here is a list of benefits of integrating MailChimp with a NoSQL database:

    Benefit 1. Data loading is faster

    As mentioned above, MongoDB uses JSON-like documents with dynamic schemas. Creating an object in Python with JSON data is much easier than creating it in SQL.

    For example, suppose you have to create an account object in SQL. You’ll need to write the fplowing code to do it:

    CREATE TABLE account ( id int(11. NOT NULL AUTO_INCREMENT, name varchar(255. DEFAULT NULL, email varchar(255. DEFAULT NULL, PRIMARY KEY (id), UNIQUE KEY email_UNIQUE (email. . ENGINE=InnoDB DEFAULT CHARSET=latin1; INSERT INTO account (id, name, email. VALUES (1, 'John Doe', '[email protected]'), (2, 'Jane Doe', '[email protected]'); 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 CREATE TABLE ` account ` ( ` id ` int ( 11 . NOT NULL AUTO_INCREMENT , ` name ` varchar ( 255 . DEFAULT NULL , ` email ` varchar ( 255 . DEFAULT NULL , PRIMARY KEY ( ` id ` . , UNIQUE KEY ` email_UNIQUE ` ( ` email ` . . ENGINE = InnoDB DEFAULT CHARSET = latin1 ; INSERT INTO ` account ` ( ` id ` , ` name ` , ` email ` . VALUES ( 1 , 'John Doe' , '[email protected]' . , ( 2 , 'Jane Doe' , '[email protected]' . ;

    Whereas the similar task in MongoDB will require writing the fplowing code:

    db.account.insert( { Id . 1, Name . 'John Doe', Email . '[email protected]' }, { Id . 2, Name . 'Jane Doe', Email . '[email protected]' } ); 1 2 3 4 5 6 7 db . account . insert ( { Id . 1 , Name . 'John Doe' , Email . '[email protected]' } , { Id . 2 , Name . 'Jane Doe' , Email . '[email protected]' } . ;

    Benefit 2. Importing data into MailChimp is easier when using MongoDB

    Importing data into MailChimp is easier when using MongoDB. This is because it’s straightforward to import to MailChimp when using MongoDB; there are no changes required to your MailChimp API. With SQL, however, importing into MailChimp requires that you make changes to the API in order to implement it into your application. The process for doing so can be quite complicated.

    Benefit 3. The performance of the integration is better in MongoDB than in SQL

    The performance of the integration is better in MongoDB than in SQL due to the simplicity of the import process. As mentioned above, you don’t need to make any changes to the API when using MongoDB. With SQL, however, you must change your API in order to use it for exporting data from your application to MailChimp. This makes the process more complex than just using MongoDB to import data into MailChimp.

    Benefit 4. It’s easier to export data into MailChimp when using MongoDB than when using SQL

    Exporting data into MailChimp is easier when using MongoDB than when using SQL. This is because the process for exporting data from MongoDB is much simpler than the process for exporting data from SQL. When using SQL to export data, you must create tables within your database that are compatible with your API schema. However, with MongoDB, you only have to map fields in your schema to fields in your API schema. Also, you don’t have to create tables within your database for compatibility—this process can be done manually after exporting data from MongoDB if desired.

    Benefit 5. Querying data stored in MailChimp is easier when using MongoDB than when using SQL

    Querying data stored in MailChimp is easier when using MongoDB than when using SQL because you can take advantage of MongoDB’s native support for MapReduce queries. As mentioned above, with MySQL, you have to use Python or PHP scripts to get information out of your MySQL database. With MongoDB, however, MapReduce can be used automatically without additional coding. MapReduce queries are also more powerful than the equivalent queries in MySQL because they are very flexible and run very quickly.

    Benefit 6. Documentation is easier when using MongoDB than when using SQL

    Documentation is easier when using MongoDB than when using SQL because there are many sample code snippets available online that demonstrate how to use all of its functions and features with ease. There are also many examples of how to structure and organize databases in MongoDB online as well as explanations of how to use different functions and features in the product documentation itself. With SQL, there is not as much documentation available; therefore, learning how to use it can be more difficult and time-consuming.

    The process to integrate 403 Forbidden and 403 Forbidden 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.

    Page reviewed by: Abhinav Girdhar  | Last Updated on November 09,2022 06:11 pm