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Wave + MongoDB Integrations

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

About Wave

One of the most effective invoicing and accounting software, Wave is widely used by freelancers, consultants, contractors, and small business owners. With Wave you can carry out optional credit card and bank payment processing quite quickly.

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
Connect Wave + MongoDB in easier way

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

    Triggers
  • New Customer

    Triggers when a new customer is added to a business you choose.

  • New Invoice

    Triggers when a new invoice is 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.

    Actions
  • Create Customer

    Creates a customer in a business that you choose.

  • Create Invoice

    Creates a new invoice.

  • Create Product or Service

    Creates a product or service in a business that you choose.

  • Record Transaction

    Records a transaction in a business.

  • Create Document

    Create a new document in a collection of your choice.

How Wave & MongoDB Integrations Work

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

    (30 seconds)

  2. Step 2: Authenticate Wave 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 Wave and MongoDB

  • Introduction (Start)
  • Wave?

    Wave is a hosted web application that allows real-time cplaboration. It has a simple interface and is easy to use. It offers many features for free, such as:

    • Free Multi-Language Support * Free Email Support * Free Mobile Support * Free File Support * Free Document Support * Free Calendar Support * Free Task Manager Support * Free Address Book Support

    Wave also offers paid services with additional features if needed. Wave's main features are:

    • Team Chat * File Sharing * Email * Posting * Task Management * Calendar * Address Book

    MongoDB?

    MongoDB is an open source document-oriented database. It provides a schema-free approach to databases. This means that you don't have to worry about how data will be stored in the database as it will just be stored in a document. This makes MongoDB very fast and scalable as it is not limited by a relational table structure. The main features of MongoDB are:

    • Index-Free Scaling * Auto-Sharding * Replication * GridFS (File Storage. * MapReduce * Aggregation Framework
    (Continue)

  • Integration of Wave and MongoDB (Start)
  • The integration of Wave and MongoDB allows for a more efficient way to store data. It allows for scaling up to large amounts of data being stored within the system. With this integration, we can store all of our data within the same database, which allows for a more efficient way of querying both documents in the database and data from different sources. In this case, we would gain a lot of efficiency, scalability, and flexibility. We will further discuss these three advantages below. But first let us discuss how the integration is implemented.

    MongoDB is used as a secondary index to the data stored in Wave. By using a secondary index, we reduce the amount of data being stored in Wave and only store part of the data in Wave. This reduces the amount of data being sent and received between Wave and MongoDB. Hence, we gain scalability and efficiency. MongoDB stores all of its data in BSON (Binary JSON. Besides the BSON format, MongoDB also supports several other formats, such as CSV, JSON, and TSV. As mentioned before, this integration allows for storing all of our data in one place, which enables us to access this data much easier. The advantages of this are discussed below.

    Efficiency – By having all of our data in one place, we eliminate the need to query multiple sources. This saves time and effort on our part because we don't have to query multiple sources for each piece of information that we need. For example, if we want to search for a specific user based on their username, we only have to do one query to find all of the users that have a specific username. There is no need for us to search through each source individually to find the results that we want. Scalability – By storing all of our data in one place, we are able to scale up our system without being limited by a relational table structure. This means that we can add more hardware to our system without having issues with upgrading software or modifying the structure of our tables. Flexibility – Since all of our data is stored in one place, it is easier for us to modify it or change it at any time. We don't have to worry about not being able to access some parts of our database because they are located in another database or source. We also don't have to worry about changes to our database requiring rewriting code that uses it because it all uses the same structure. This gives us flexibility with how we utilize our data and also keeps us from having issues with modifying or changing our data structure.

  • Benefits of Integration of Wave and MongoDB (Continue)
  • As mentioned above, there are many benefits from integrating Wave and MongoDB together. We will discuss some advantages below. For those who are interested in the general concepts behind integrating Wave and MongoDB together, please visit http://www.mongodb.org/display/DOCS/Integrating+MongoDB+and+Wave+API+Clients+with+the+OAuth+Protocp . However, if you are only interested in how this integration works with specific examples, skip down to the "Example" section below.

    • Efficient Data Structure – By having all of our data stored in one place, we are able to use the same structure for all of our stored data. This allows us to efficiently save and retrieve information from our database without having issues with compatibility between different structures for different pieces of information. 2. Scalability – By storing all of our information within one database, we allow ourselves to scale up quickly without running into problems from upgrading software or modifying tables within the structure that is already in use. 3. Flexibility – Being able to modify and change our database easily gives us great flexibility when it comes to using it effectively. It also keeps us from having issues with modifying or changing our database structure because everything uses the same structure.
    (End)

    The process to integrate Wave 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.