MongoDB + Blesta Integrations

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

  • No code
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  • 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 Blesta

Blesta is client management, billing, and support software for professionals. Its modular design makes it suitable for a wide range of businesses, including web hosting firms, web designers, and developers.

Blesta Integrations

Best ways to Integrate MongoDB + Blesta

  • MongoDB Blesta

    MongoDB + Blesta

    Create Invoice to Blesta from New Document in MongoDB Read More...
    When this happens...
    MongoDB New Document
    Then do this...
    Blesta Create Invoice
  • MongoDB Blesta

    MongoDB + Blesta

    Create User to Blesta from New Document in MongoDB Read More...
    When this happens...
    MongoDB New Document
    Then do this...
    Blesta Create User
  • MongoDB Blesta

    MongoDB + Blesta

    Update User in Blesta when New Document is created in MongoDB Read More...
    When this happens...
    MongoDB New Document
    Then do this...
    Blesta Update User
  • MongoDB Blesta

    MongoDB + Blesta

    Delete User in Blesta when New Document is created in MongoDB Read More...
    When this happens...
    MongoDB New Document
    Then do this...
    Blesta Delete User
  • MongoDB Blesta

    MongoDB + Blesta

    Create Calendar Event to Blesta from New Document in MongoDB Read More...
    When this happens...
    MongoDB New Document
    Then do this...
    Blesta Create Calendar Event
  • MongoDB {{item.actionAppName}}

    MongoDB + {{item.actionAppName}}

    {{item.message}}
    When this happens...
    {{item.triggerAppName}} {{item.triggerTitle}}
    Then do this...
    {{item.actionAppName}} {{item.actionTitle}}
Connect MongoDB + Blesta in easier way

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

  • 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 Calendar Event

    Triggers when a new calendar event is created.

  • New Invoice

    Triggers when a new invoice is created.

  • Create Document

    Create a new document in a collection of your choice.

  • Create Calendar Event

    Creates a new calendar event.

  • Create Invoice

    Creates a new invoice.

  • Create User

    Creates a new user.

  • Delete Calendar Event

    Deletes an existing calendar event.

  • Delete User

    Deletes an existing user.

  • Update Calendar Event

    Updates an existing calendar event.

  • Update User

    Updates an existing user.

How MongoDB & Blesta 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 Blesta 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 Blesta.

    (2 minutes)

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

Integration of MongoDB and Blesta


MongoDB, written in C++, is an open source document database. MongoDB uses the term “document” rather than “row” or “record” to describe each piece of data. The advantage of using the document term is that it allows you to store more than one type of thing in a single database record. For example, medical patients have multiple types of information that are stored in a medical database.

Documents are represented as JSON object with key/value pairs. Each item of data is called a field. Because of its dynamic schemas, MongoDB can store different types of objects including JSON, binary, etc.

MongoDB uses a JavaScript-like document language called BSON(Binary JSON. It is called binary JSON because it contains binary data. While JSON allows you to store any kind of data, BSON stores only binary data. BSON is a binary representation of JSON. If you want to store non-binary data, you need to encode it into JSON first and then convert it into BSON.

MongoDB can also store documents larger than 16MB, if they are encoded into JSON.

There are three types of cplections (or databases. in MongoDB:

System Cplections – These cplections are created by MongoDB when the server starts running and they cannot be altered. They are used for configuration purposes. System cplections contain metadata about the databases and documents within them.

User defined Cplections – These cplections are created by users at the time of the application initialization. Users can change their names, contents and even indexes on these cplections. Although user defined cplections can be accessed by all users, there are restrictions on changing the document contents.

User defined Database – These databases are created by users to hpd their own cplections. User databases can be created by system administrators but they vanish when the server shuts down. User databases are not accessible by other users except for the user who creates them.

The fplowing diagram shows how documents are organized in MongoDB:

MongoDB provides the fplowing interface:

The command line interface (CLI. is used to perform basic operations like adding users, creating databases and cplecting statistics. The built-in GUI “mongo” provides a user friendly interface to perform these operations as well as to view and manipulate data using a Web browser. It also supports the execution of queries from a browser window.

The mongo shell allows you to create scripts using JavaScript. The script can be written from the mongo shell itself or can be saved as a separate file and then executed from the shell. There are many libraries that provide support for developing applications using MongoDB’s API such as Java drivers, Python drivers and Objective-C drivers. Applications written with these libraries use drivers to access MongoDB from a programming language.

MongoDB has introduced a new type of database called “GridFS” which is an extension of Blob storage. It is designed to store large files such as images and video clips efficiently. GridFS supports both binary and text formats for storing data. In order to store a file in GridFS, you have to first upload the file to a temporary local file system and then pass the path of that file to GridFS. This way file size does not affect performance during uploads and downloads since each file is split into chunks before being uploaded to GridFS. Documents stored in GridFS can be queried just like any other document in MongoDB. There is also built-in support for indexing files stored in GridFS using GSI(GridFS Indexes. GSI serves as an alternative to BSON hashes which function as unique IDs for each document in GridFS. A GSI index stores the filename for each document along with its chunk location and chunk size information for efficient retrieval and searching of files in GridFS. GSI uses content addressable storage(CAS. which means that it calculates the location and size of each chunk of a document without actually storing it locally until it is needed for retrieval or searching operations. This way space is saved by only storing necessary chunks of the documents and retrieving the rest from the network when needed.

A comparison between BSON and GSI is illustrated in the fplowing diagram:

To summarize, BSON was designed to work with unstructured JSON data while GSI was designed specifically for structured data such as image files. BSON calculates hash values for verification and CRS stores the actual data whereas GSI uses CAS to save space by calculating chunk locations and sizes without storing them locally until required for retrieval or search operations. BSON supports only strings but GSI supports both strings and integers whereas BSON stores null values as empty strings while GSI stores null values as empty integers which implies that GSI supports numeric values as well as strings whereas BSON does not support numeric values at all since it stores them as empty strings instead of empty integers.


  • Summary
  • The process to integrate MongoDB and Blesta 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.