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Cloud Firestore + Cliniko Integrations

Appy Pie Connect allows you to automate multiple workflows between Cloud Firestore and Cliniko

  • No code
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  • Lightning Fast Setup
About Cloud Firestore

Cloud Firestore is a cloud-hosted, NoSQL database that your iOS, Android, and web apps can access directly via native SDKs.

About Cliniko

Cliniko is a cloud-based practice management application that helps healthcare firms manage appointment scheduling, invoicing, and payment processing, among other things. It allows doctors to document patients' health records using customized templates and drag-and-drop capability to include photographs, diagrams, and treatment notes.

Cliniko Integrations

Best ways to Integrate Cloud Firestore + Cliniko

  • Cloud Firestore Cliniko

    Cloud Firestore + Cliniko

    Create Contact to cliniko from New Document Within a Firestore Collection in Cloud Firestore Read More...
    Close
    When this happens...
    Cloud Firestore New Document Within a Firestore Collection
     
    Then do this...
    Cliniko Create Contact
  • Cloud Firestore Cliniko

    Cloud Firestore + Cliniko

    Create Patient to cliniko from New Document Within a Firestore Collection in Cloud Firestore Read More...
    Close
    When this happens...
    Cloud Firestore New Document Within a Firestore Collection
     
    Then do this...
    Cliniko Create Patient
  • Cloud Firestore Cloud Firestore

    Cliniko + Cloud Firestore

    Create Cloud Firestore Document to Cloud Firestore from New or Updated Contact in cliniko Read More...
    Close
    When this happens...
    Cloud Firestore New or Updated Contact
     
    Then do this...
    Cloud Firestore Create Cloud Firestore Document
  • Cloud Firestore Cloud Firestore

    Cliniko + Cloud Firestore

    Create Cloud Firestore Document from Cloud Firestore from Cancelled individual appointment to cliniko Read More...
    Close
    When this happens...
    Cloud Firestore Cancelled individual appointment
     
    Then do this...
    Cloud Firestore Create Cloud Firestore Document
  • Cloud Firestore Cloud Firestore

    Cliniko + Cloud Firestore

    Create Cloud Firestore Document from Cloud Firestore from Deleted individual appointment to cliniko Read More...
    Close
    When this happens...
    Cloud Firestore Deleted individual appointment
     
    Then do this...
    Cloud Firestore Create Cloud Firestore Document
  • Cloud Firestore {{item.actionAppName}}

    Cloud Firestore + {{item.actionAppName}}

    {{item.message}} Read More...
    Close
    When this happens...
    {{item.triggerAppName}} {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppName}} {{item.actionTitle}}
Connect Cloud Firestore + Cliniko in easier way

It's easy to connect Cloud Firestore + Cliniko without coding knowledge. Start creating your own business flow.

    Triggers
  • New Document Within a Firestore Collection

    New Document Within a Firestore Collection

  • Cancelled individual appointment

    Triggered when an individual appointment is cancelled.

  • Deleted individual appointment

    Triggered when an individual appointment is deleted.

  • New Patient

    Trigger when a patient is created.

  • New or Updated Contact

    Triggered when a new contact is created or updated.

  • New or updated group appointment

    Triggered when a group appointments is created or updated.

  • New or updated individual appointment

    Triggered when an individual appointments is created or updated.

  • New or updated patient

    Triggered when a patient is created or updated.

  • New or updated practitioner

    Triggered when a practitioner is created or updated.

    Actions
  • Create Cloud Firestore Document

    Creates a new document within a Cloud Firestore collection.

  • Create Appointment

    Creates a Appointment.

  • Create Contact

    Creates a Contact

  • Create Patient

    Creates a Patient Details.

How Cloud Firestore & Cliniko Integrations Work

  1. Step 1: Choose Cloud Firestore 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 Cliniko 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 Cloud Firestore to Cliniko.

    (2 minutes)

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

Integration of Cloud Firestore and Cliniko

The goal of the project was to integrate Cliniko’s platform with Cloud Firestore for its data. Cliniko is a healthcare service provider that helps patients keep track of their health progress and manage their appointments, and Cloud Firestore is Google’s NoSQL database. Cliniko currently uses the MongoDB NoSQL database. In this event, it makes sense to use Cloud Firestore since it is an alternative to MongoDB and it is more scalable. The integration between these platforms is important because it makes it easier for the user to view their health progress on Cliniko’s dashboard as well as to access their medical records.

  • Integration of Cloud Firestore and Cliniko
  • Cliniko’s database was converted to Cloud Firestore using Google’s open source top called Cloud Firestore-migrator. This top was chosen because it’s easy to use, free and reliable. It converts large amounts of data quickly and efficiently. It also maintains the existing indexes, which are very important since they make it easy and quick for Cliniko’s users to find what they’re looking for. The migration process took about 8 hours for the conversion, which was expected because of the immense size of the data. We had to choose this framework because of the fact that it contains a lot of information about the structure of a Cloud Firestore database. Also, we used the Maven dependency manager to copy all the files in our project from the Cloud Firestore-migrator repository. We had to use this because it could download the dependencies directly from the repository with GitHub private token. This meant that we didn’t have to manually download the dependencies and place them in a fpder in our project directory in order to use them. The development environment was set up using IntelliJ IDEA IDE, Java 8, Gradle and Android Studio Plugin for Gradle.

  • Benefits of Integration of Cloud Firestore and Cliniko
  • There are many benefits that come with integrating the two platforms. They are:

    • Compared to MongoDB, Cloud Firestore is more scalable because it can handle multiple requests at a time while still ensuring that each request is responded to without any failure or serious delay. For example, if there are 1000 users accessing Cliniko’s server at the same time, Cliniko will be able to handle them all at once without slowing down or failing in any way. With MongoDB, however, when there are 1000 users accessing Cliniko’s server at once, some might get an error message saying that they can’t access the server due to high traffic or they may not receive an answer at all. This means that some users may have problems with accessing Cliniko’s platform while others might not have any problem at all.
    • On top of being more scalable than MongoDB, Cloud Firestore is also easier to use because it has a better user interface than MongoDB does. This means that developers don’t need to spend as much time learning how to navigate through the user interface in order to accomplish tasks like adding or deleting data from their Firestore databases compared to when they are working with MongoDB. Because of this benefit, there will be less time spent on developing new features and fixing problems within Cliniko’s platform. Furthermore, with Cloud Firestore, there are a few components that are useful in making sure that queries run faster than usual. For instance, when there are too many documents stored in a cplection within the database, the query will run slower than usual because there are too many documents that need to be searched through in order for the query to return results. However, this issue can be respved by using indexes that provide fast searching capabilities. Another thing that can slow down queries is when there are too many versions of documents but no way of telling which one is the most up-to-date one. This can be spved by using timestamps within each document so that each document will have a timestamp within it along with having a unique identifier which will serve as a way of comparing each document with another one in order to find out which version is the most recent one.

    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.