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MongoDB Realm + AerisWeather Integrations

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

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About MongoDB Realm

MongoDB Realm is a development platform designed for modern, data-driven applications. You can use Realm to build mobile, web, desktop, and IoT.

About AerisWeather

AerisWeather provides a powerful weather API, mapping platform, and developer toolkits that allow weather-sensitive businesses worldwide to operate more effectively.

AerisWeather Integrations

Best ways to Integrate MongoDB Realm + AerisWeather

  • MongoDB Realm MongoDB Realm

    AerisWeather + MongoDB Realm

    Create User to MongoDB Realm from New Weather Alerts in AerisWeather Read More...
    Close
    When this happens...
    MongoDB Realm New Weather Alerts
     
    Then do this...
    MongoDB Realm Create User
  • MongoDB Realm MongoDB Realm

    AerisWeather + MongoDB Realm

    Create Service to MongoDB Realm from New Weather Alerts in AerisWeather Read More...
    Close
    When this happens...
    MongoDB Realm New Weather Alerts
     
    Then do this...
    MongoDB Realm Create Service
  • MongoDB Realm MongoDB Realm

    AerisWeather + MongoDB Realm

    Confirm Pending User in MongoDB Realm when New Weather Alerts is created in AerisWeather Read More...
    Close
    When this happens...
    MongoDB Realm New Weather Alerts
     
    Then do this...
    MongoDB Realm Confirm Pending User
  • MongoDB Realm MongoDB Realm

    AerisWeather + MongoDB Realm

    Delete Trigger in MongoDB Realm when New Weather Alerts is created in AerisWeather Read More...
    Close
    When this happens...
    MongoDB Realm New Weather Alerts
     
    Then do this...
    MongoDB Realm Delete Trigger
  • MongoDB Realm MongoDB Realm

    AerisWeather + MongoDB Realm

    Enable User in MongoDB Realm when New Weather Alerts is created in AerisWeather Read More...
    Close
    When this happens...
    MongoDB Realm New Weather Alerts
     
    Then do this...
    MongoDB Realm Enable User
  • MongoDB Realm {{item.actionAppName}}

    MongoDB Realm + {{item.actionAppName}}

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

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

    Triggers
  • New Push notification

    Triggers when a new push notification is created

  • New Service

    Triggers when a new service is created

  • New User

    Triggers when a new user is created

  • New Forecast

    Triggers when a new forecast is created

  • New Observations Data

    Triggers current observation data for your location. You can select how often to get new data.

  • New Rain or Snow Forecast

    Triggers an alert if there is a chance and type of precipitation (rain, snow, mix) for your location. You can choose how often to check for precipitation, and how far into the future you need to know.

  • New Weather Alerts

    Triggers on new active weather alerts for the selected location. You can choose how often to look for new alerts.

    Actions
  • Confirm Pending User

    Confirm a pending user

  • Create Service

    Create a service

  • Create Trigger

    Creates a Trigger

  • Create User

    Creates a User

  • Delete Push Notification

    Delete a pus notification

  • Delete Trigger

    Delete a trigger

  • Delete User

    Delete a User

  • Disable User

    Disable a User

  • Enable User

    Enable a User

  • Update Trigger

    Update a trigger

How MongoDB Realm & AerisWeather Integrations Work

  1. Step 1: Choose MongoDB Realm 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 AerisWeather 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 Realm to AerisWeather.

    (2 minutes)

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

Integration of MongoDB Realm and AerisWeather

  • MongoDB Realm?
  • MongoDB Realm is an object persistence framework that allows developers to work with objects in native programming languages.

  • AerisWeather?
  • AerisWeather is the world's most popular weather app for Android and iOS. It has more than 5 million downloads on Google Play, and more than 1 million downloads on the App Store.

  • Integration of MongoDB Realm and AerisWeather
  • Integration of MongoDB Realm and AerisWeather makes sense because AerisWeather is a weather app which connects to the Internet to get weather information. With this integration, users can save their location in MongoDB Realm. When they open the app, it will automatically attempt to retrieve the location from the database. Connecting to the database in this way saves time. The data in MongoDB Realm can also be used in future updates of the app.

  • Benefits of Integration of MongoDB Realm and AerisWeather
  • There are many benefits of integrating MongoDB Realm into AerisWeather. One of them is speed. With integration, users won't have to wait for weather data to load, saving them time. Another benefit is that the data retrieved from MongoDB Realm will be saved locally on the device, so that future versions from the app can access that same data. The main thing that developers need to do is to implement a connector between MongoDB Realm and AerisWeather. Then developers can start using all of the features from MongoDB Realm, such as writing data to Realm, reading from Realm, synchronizing Realm across threads, and performing queries against Realm.

    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.