?>

Cloud Firestore + moonclerk Integrations

Syncing Cloud Firestore with moonclerk is currently on our roadmap. Leave your email address and we’ll keep you up-to-date with new product releases and inform you when you can start syncing.

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 moonclerk

MoonClerk lets anyone accept recurring payments and one-time payments quickly and easily without any coding.

moonclerk Integrations
Connect Cloud Firestore + moonclerk in easier way

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

    Triggers
  • New Document Within a Firestore Collection

    New Document Within a Firestore Collection

  • New Payment

    Triggers when a payment has been made on MoonClerk.

  • New Recurring Plan

    Triggers when a payer checks out and creates a Recurring Plan in MoonClerk.

    Actions
  • Create Cloud Firestore Document

    Creates a new document within a Cloud Firestore collection.

How Cloud Firestore & moonclerk 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 moonclerk 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 moonclerk.

    (2 minutes)

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

Integration of Cloud Firestore and moonclerk

Cloud Firestore is an online, scalable NoSQL database that helps developers build apps. Because the service is hosted by Google and allows for real-time data synchronization, it can easily be used for mobile and web apps that require high throughput and low latency. There are also built-in data security features that help to ensure app integrity.

Cloud Firestore is one of three database offerings from Google Cloud Platform. The other offerings are Cloud Spanner, a fully managed relational database service, and Bigtable, a distributed database service that provides low latency and sub-second read/write access.

According to Google’s documentation, “Cloud Firestore is a flexible, scalable database for mobile, web, and server development from Firebase and Google Cloud Platform.” It’s currently at beta status with limited availability.

Moonclerk is a new transaction manager for Google’s Firestore and Cloud Datastore databases. It makes it easy to perform complex operations on your data in parallel, such as batch reads, writes, and deletes. The moonclerk API is a thin wrapper around the firestore and datastore client APIs, so it supports everything that those APIs support. Moonclerk does not require any changes to your existing Firestore or Datastore code but will make your code run faster.

  • Integration of Cloud Firestore and moonclerk
  • Moonclerk uses the official firestore and datastore client SDKs and wraps them in an easy-to-use Java API. It also has a simple DSL, which lets you define complex queries using a concise syntax.

    GitHub’s wiki page lists some examples of queries that can be performed using moonclerk:

    Query all users whose age is greater than 12 years pd:

    UserQuery q = UserQuery.havingAgeGreaterThan(12); List<User> users = db.query(q.build(); 1 2 UserQuery q = UserQuery . havingAgeGreaterThan ( 12 . ; List <User> users = db . query ( q . . build ( . ;

    Read all posts written by author with id ‘foo’:

    ReadAllQuery readMe = ReadAllQuery.where("authorId", "foo".read(); List<Post> posts = db.query(readMe.build(); 1 2 3 ReadAllQuery readMe = ReadAllQuery . where ( "authorId" , "foo" . . read ( . ; List <Post> posts = db . query ( readMe . . build ( . ;

    Write a user with id ‘bar’:

    WriteUserQuery writeMe = WriteUserQuery.where("id", "bar".set("name", "Barry".do(); db.runTransaction(writeMe); 1 2 3 WriteUserQuery writeMe = WriteUserQuery . where ( "id" , "bar" . . set ( "name" , "Barry" . . do ( . ; db . runTransaction ( writeMe . ;

    Delete all comments written by author with id ‘baz’:

    DeleteAllQuery deleteMe = DeleteAllQuery.where("authorId", "baz".do(); db.runTransaction(deleteMe); 1 2 DeleteAllQuery deleteMe = DeleteAllQuery . where ( "authorId" , "baz" . . do ( . ; db . runTransaction ( deleteMe . ;

    The integration between cloud firestore and moonclerk is shown below:

    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.