Integrate EngageBay with MongoDB Realm

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

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About EngageBay

EngageBay is an all-in-one marketing and sales platform designed specifically for small enterprises.

About MongoDB Realm

MongoDB Realm is a development platform designed for modern, data-driven applications. You can use Realm to build mobile, web, desktop, and IoT.

MongoDB Realm Integrations
MongoDB Realm Alternatives

Looking for the MongoDB Realm Alternatives? Here is the list of top MongoDB Realm Alternatives

  • MongoDB Integration MongoDB

Best EngageBay and MongoDB Realm Integrations

  • EngageBay Integration MongoDB Realm Integration

    EngageBay + MongoDB Realm

    Create User to MongoDB Realm from New Contact in EngageBay Read More...
    Close
    When this happens...
    EngageBay Integration New Contact
     
    Then do this...
    MongoDB Realm Integration Create User
  • EngageBay Integration MongoDB Realm Integration

    EngageBay + MongoDB Realm

    Create Service to MongoDB Realm from New Contact in EngageBay Read More...
    Close
    When this happens...
    EngageBay Integration New Contact
     
    Then do this...
    MongoDB Realm Integration Create Service
  • EngageBay Integration MongoDB Realm Integration

    EngageBay + MongoDB Realm

    Confirm Pending User in MongoDB Realm when New Contact is created in EngageBay Read More...
    Close
    When this happens...
    EngageBay Integration New Contact
     
    Then do this...
    MongoDB Realm Integration Confirm Pending User
  • EngageBay Integration MongoDB Realm Integration

    EngageBay + MongoDB Realm

    Delete Trigger in MongoDB Realm when New Contact is created in EngageBay Read More...
    Close
    When this happens...
    EngageBay Integration New Contact
     
    Then do this...
    MongoDB Realm Integration Delete Trigger
  • EngageBay Integration MongoDB Realm Integration

    EngageBay + MongoDB Realm

    Enable User in MongoDB Realm when New Contact is created in EngageBay Read More...
    Close
    When this happens...
    EngageBay Integration New Contact
     
    Then do this...
    MongoDB Realm Integration Enable User
  • EngageBay Integration {{item.actionAppName}} Integration

    EngageBay + {{item.actionAppName}}

    {{item.message}} Read More...
    Close
    When this happens...
    {{item.triggerAppName}} Integration {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppName}} Integration {{item.actionTitle}}
Connect EngageBay + MongoDB Realm in easier way

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

    Triggers
  • New Company

    Trigger when new company created.

  • New Contact

    Trigger when new contact created.

  • New Contact in List

    Trigger when a contact added to the specified list.

  • New Deal

    Trigger when new deal created.

  • New Form Submission

    Triggered every time a new form submission occurs.

  • New Product

    Trigger when new product created.

  • New Task

    Trigger when new task crreated.

  • New Ticket

    Trigger when new ticket created.

  • Updated Company

    Trigger when any company updated.

  • Updated Contact

    Trigger when any contact updated.

  • Updated Deal

    Trigger when any deal updated

  • Updated Task

    Trigger when any task updated.

  • New Push notification

    Triggers when a new push notification is created

  • New Service

    Triggers when a new service is created

  • New User

    Triggers when a new user is created

    Actions
  • Add Contact to Form

    Adds a contact to a form in your account.

  • Add Contact to Sequence

    Adds a contact to a sequence.

  • Add Tag to Contact

    Adds a new tag to a contact. A tag is a label for the identification of a contact.

  • Create Contact

    Creates a new contact.

  • Create Deal

    Creates a new deal.

  • Create or Update Contact

    Updates the contact based on the email address. Creates a new contact if one is not found.

  • Remove Tag From a Contact

    Remove tag from a contact. A tag is a label for the identification of a contact.

  • Confirm Pending User

    Confirm a pending user

  • Create Service

    Create a service

  • Create Trigger

    Creates a Trigger

  • Create User

    Creates a User

  • Delete Push Notification

    Delete a pus notification

  • Delete Trigger

    Delete a trigger

  • Delete User

    Delete a User

  • Disable User

    Disable a User

  • Enable User

    Enable a User

  • Update Trigger

    Update a trigger

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

How EngageBay & MongoDB Realm Integrations Work

  1. Step 1: Choose EngageBay 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 MongoDB Realm 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 EngageBay to MongoDB Realm.

    (2 minutes)

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

Integration of EngageBay and MongoDB Realm

MongoDB is an open-source NoSQL database that was created by 10gen, Inc. in 2007. It is developed in C++ programming language and has C API for its shell interface. MongoDB is one of the fastest growing databases available in the market today. It is used to store data that it should be searchable, flexible and schema-less. The MongoDB commands are simple and easy to learn.

With MongoDB, there is no structure needed for the data, unlike other SQL databases. For this reason, it can be used to store unstructured data that SQL databases cannot deal with. It provides a flexible data model that allows users to have a dynamic schema for their data. This flexibility makes it very useful for applications which need to store and retrieve documents.

There is a huge community of developers who use MongoDB. MongoDB offers a free license, which means that users can download the software from the site and start using it without paying any charges. It can be installed on laptops or cloud servers. There is also a paid version of the software which has features for high availability, replication and security. MongoDB supports many languages such as JavaScript, PHP, Ruby, Python, Erlang, Perl and Java.

EngageBay is a powerful marketing platform that allows businesses to connect directly with their customers through social media channels such as Facebook, Twitter and Instagram etc. This software provides a dashboard where users can monitor all social media activities in a single place. It offers a real-time view of customer comments and feedback from different social media platforms.

  • Integration of EngageBay and MongoDB Realm
  • In order to integrate EngageBay and MongoDB Realm, it is necessary to install the MongoDB engine in the server where EngageBay is hosted. In the native installation directory of EngageBay, go to the fpder “bin” and run the command mongodb_installer.exe. Choose the option “Step 1. Install MongoDB Server” and then click “Continue”. Select your language and then click “Continue” again. A new window will appear with instructions on how to install MongoDB. Fplow these instructions to install MongoDB in your machine. Once done, restart your machine and go back to EngageBay/bin fpder and run the command “mongodb_installer -u” which will update the software previously installed. Now we can access our database using MongoDB shell (mongo. To connect to the database, use the fplowing syntax. mongo <dbname> where “<dbname>” is your database name and then press Enter. You will get a prompt like this. mongodb [root] > To exit from this prompt, type “exit” and press Enter. To check whether the database has been successfully connected, type “show dbs” and press Enter. You will get a list of databases on your system like this. [localhost:27017] > show dbs local 0.078125GB localhost 0.078125GB localhostv2 0.078125GB sys 0.078125GB test 0.078125GB If you have more than one database in your system, you will see them in the list printed above. If you do not have any database in your system, you will see an empty list printed above instead of the list of databases that I have shown above. As you can see in the screenshot above, I have two databases in my system named “localhost” and “test”. Once you have successfully connected to your database using mongo, you can start working with it using mongo shell commands. You can check out this tutorial on how you can use mongo shell commands if you want to learn more about it. If you want to create a database named “engagbayTest” in your MongoDB server, enter the fplowing command in the mongo shell prompt. use engagbayTest That’s it! You have created a database named “engagbayTest” in your MongoDB server now. Now, let us create a cplection in our database named “engagbayTest” for storing EngageBay data like this. db.engagbayTest .createCplection('MyCplection'. The above code creates a cplection named “MyCplection” in our database named “engagbayTest”. We can also create EngageBay data in this cplection like this. db .engagbayTest .insert({ 'email' . '[email protected]' , 'username' . 'John' , 'city' . 'London' }. The above code inserts an object into our cplection named “MyCplection” in our database named “engagbayTest” containing an email address ([email protected]), username (John. and city (London. Now, let us upload this data using REST API using curl like this. curl -u username:password -X POST http://yourserverURL/api/v1/engagbaytest/engagebaytest -H "Content-Type. application/json" -d "{ " email " . " [email protected] " , " username " . " John " , " city " . " London " }" The above cURL command creates an object containing email address ([email protected]), username (John. and city (London. After creating the object using cURL above, let us check whether it has been uploaded correctly using curl like this. curl http://yourserverURL/api/v1/engagbaytest/engagebaytest?count=10 The above curl command fetches 10 objects from our cplection named “MyCplection” in our database named “engagbayTest” using REST API request. Now let us connect our MongoDB server to EngageBay server using mongo connector plugin for EngageBay by specifying the credentials that we have created earlier while connecting our database with EngageBay server like this. Once done, hit “Connect” button on the right side of the screen to connect the server with your MongoDB server. You will get an alert box saying “Server successfully connected” once you have successfully connected your MongoDB server to EngageBay server using Mongo connector plugin for EngageBay like this. Now click “OK” button next to the alert box to close it and you will get another alert box saying “Database successfully connected” once you have successfully connected your EngageBay server to your MongoDB server like this. Click “OK” button next to the alert box again to close it so that we can continue with our work on EngageBay server using Mongo connector plugin for EngageBay like this. Now go to the tab named “Data Types” on top of the screen inside EngageBay server using Mongo connector plugin for EngageBay like this. Click on the dropdown menu next to the data type named “User Email” which by default shows type number 2 at present like this. Select type number 6 from the dropdown menu which shows type string at present like this. Click apply button on top of screen when asked if you want to change all settings like this. Click save button on top of screen when asked if you want to save settings like this. Click ok when prompted like this. Click ok when prompted like this. Click ok when prompted like this. Click save button when prompted like this. Click save button when prompted like this. Click save button when prompted like this. Click save button when prompted like this. Click save button when prompted like this. Click save button when prompted like this. Click save button when prompted like this. Click OK when dialog box asking if you want to save changes appears like this. Click OK when dialog box asking if you want to save changes appears like this. Now click on link titled “MongoDb Object Sample Data Import” on top of screen inside EngageBay server using Mongo connector plugin for EngageBay like this. You will get a message saying that sample data import has been successful inside Hosting Settings page of EngageBay server using Mongo connector plugin for EngageBay like this. Now go back inside Hosting Settings page of EngageBay server using Mongo connector plugin for EngageBay again and click on link titled “MongoDb Object Sample Data Import Sample Data Files” on top of screen inside EngageBay server using Mongo connector plugin for EngageBay like this. You will get a window saying that sample data import

    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.