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MongoDB + Google Docs Integrations

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

  • No code
  • No Credit Card
  • Lightning Fast Setup
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 Google Docs

Google Docs is a free suite of online apps for word processing, spreadsheets, presentations, forms, and more. It's free and works in the way you do.

Google Docs Integrations
Google Docs Alternatives

Looking for the Google Docs Alternatives? Here is the list of top Google Docs Alternatives

  • Quip Quip
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Best ways to Integrate MongoDB + Google Docs

  • MongoDB MongoDB

    Google Docs + MongoDB

    Create Document to MongoDB from New Document in Google Docs Read More...
    Close
    When this happens...
    MongoDB New Document
     
    Then do this...
    MongoDB Create Document
  • MongoDB MongoDB

    Google Docs + MongoDB

    Create Document to MongoDB from New Document in Folder in Google Docs Read More...
    Close
    When this happens...
    MongoDB New Document in Folder
     
    Then do this...
    MongoDB Create Document
  • MongoDB Google Sheets

    MongoDB + Google Sheets

    Create new rows in Google Sheets for new MongoDB documents Read More...
    Close
    When this happens...
    MongoDB 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
  • MongoDB Slack

    MongoDB + Slack

    Send Slack messages for new MongoDB documents Read More...
    Close
    When this happens...
    MongoDB 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
  • MongoDB MailChimp

    MongoDB + MailChimp

    Add or update Mailchimp subscribers from new MongoDB documents Read More...
    Close
    When this happens...
    MongoDB 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
  • MongoDB {{item.actionAppName}}

    MongoDB + {{item.actionAppName}}

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

It's easy to connect MongoDB + Google Docs 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.

  • New Document

    Triggers when a new document is added (inside any folder).

  • New Document in Folder

    Triggers when a new document is added to a specific folder (but not its subfolders).

    Actions
  • Create Document

    Create a new document in a collection of your choice.

How MongoDB & Google Docs 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 Google Docs 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 Google Docs.

    (2 minutes)

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

Integration of MongoDB and Google Docs

An introduction of my article will focus on the objective of integration of MongoDB and Google Docs. My writing will explain the significance of merging the two systems. The introduction will also include reasons why I selected my topic and how it is relevant to the readers.

MongoDB?

MongoDB is the next generation database system which has been developed by 10gen Inc. It stores data in flexible, JSON-like documents that can be queried using a subset of SQL. This document-oriented database system can be used in any programming language including PHP, Python, C# Java, Ruby, Go and JavaScript. It was created by 10gen Inc. forked from earlier versions of Apache’s CouchDB project. MongoDB is open source and free software.

Google Docs?

Google Docs is a free web-based office suite offered by Google which allows users to create and edit documents online while cplaborating with other users. It supports Microsoft Office file formats and allows users to store files online and access them from anywhere. Google Docs also includes tops to create forms, spreadsheets, presentations, drawings and applications. Google Docs is available in some mobile devices such as Android, iOS, Windows Phone, BlackBerry and Nokia Maemo.

After an introduction, I will discuss my research about the integration of MongoDB and Google Docs. I have divided the body into five parts which are as fplows:

Integration of MongoDB and Google Docs

The integration of MongoDB and Google Docs allows users to store their data in a cloud environment without paying any additional cost. In this situation, users do not need to spend money to buy a new computer or pay for expensive space on their computers. Users can simply save their data online if they have access to an internet connection. Cloud computing allows users to access their data from any place as long as they have internet connections. Because they can access their data from anywhere, users feel more comfortable working remotely. As a result, they no longer need to go back and forth to work during their lunch breaks. Moreover, users can sync their Google documents with MongoDB programmatically using the official API supported by both Google and MongoDB. In addition, they can connect to multiple cloud providers using a single API. The integration of MongoDB and Google Docs allows users to get the benefits of Google Docs such as cplaboration with others in real-time and high availability at a low cost.

Benefits of Integration of MongoDB and Google Docs

When using the integration of MongoDB and Google Docs, there are many benefits. The most important benefit is that users can access their data from anywhere through a cloud computing environment. Users do not need to pay for additional space due to this connectivity. Although it may take some time to upload the files, the users can access their information from anywhere.. Furthermore, users do not need to maintain servers. They can simply rely on cloud computing providers like Amazon Web Services or Rackspace to host their data for them.. Another benefit is that users can create accounts on multiple computing providers at once and use one API for all of them.. If you have your primary documents on AWS but still want to backup your files on another provider, then you can use this option.. Since users can use one API for multiple accounts, they will not have to learn multiple APIs in order to work with different providers.. Instead, users can focus on learning one API and use it for all of them.. Finally, although this option is only available for developers who are familiar with MongoDB & NodeJS (and no other languages), Google does provide an official API for developers who want to use it.. Therefore, if you are not a developer but are interested in using MongoDB, you should first learn about NodeJS so that you can use this option.. Since all data will be stored online, users will never lose any data.. Since any changes made by users will be automatically updated across all devices, cplaborators will never have to worry about missing any important changes.. Users will also be able to cplaborate with others in real-time on documents which will make cplaboration easier.. As mentioned above, users do not need to maintain servers since cloud computing providers host their documents for them.. As a result, users do not have to worry about server maintenance nor hardware.. In addition, any changes made by cplaborators will be immediately updated across all devices.. Users will always have up-to-date information about their documents.. They will never miss any important changes because they are automatically updated within seconds.. Because cloud databases are always-on systems, data will be backed up every minute so that users can restore their data easily if they lose it.. Finally, because users do not have to pay for additional space or server maintenance costs when using the integration of MongoDB and Google Docs, they can save a lot of money.. For example, Cloud SQL (the database system provided by Amazon Web Services. charges $0.125 per hour for each gigabyte monthly with unlimited transactions.. With this pricing model, users who want to store 1 terabyte per month would only have to pay $25 per month.. This price is much lower than what they would have paid if they were required to buy an additional computer or pay money for server maintenance.. As a result, users who are interested in cloud computing but cannot afford the expense might want to consider using the integration of MongoDB and Google Docs as an alternative..

The process to integrate MongoDB and Google Docs 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.