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AerisWeather + MongoDB Integrations

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

  • No code
  • No Credit Card
  • Lightning Fast Setup
About AerisWeather

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

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

Best ways to Integrate AerisWeather + MongoDB

  • AerisWeather MongoDB

    AerisWeather + MongoDB

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

    AerisWeather + MongoDB

    Create Document to MongoDB from New Forecast in AerisWeather Read More...
    Close
    When this happens...
    AerisWeather New Forecast
     
    Then do this...
    MongoDB Create Document
  • AerisWeather MongoDB

    AerisWeather + MongoDB

    Create Document to MongoDB from New Observations Data in AerisWeather Read More...
    Close
    When this happens...
    AerisWeather New Observations Data
     
    Then do this...
    MongoDB Create Document
  • AerisWeather MongoDB

    AerisWeather + MongoDB

    Create Document to MongoDB from New Rain or Snow Forecast in AerisWeather Read More...
    Close
    When this happens...
    AerisWeather New Rain or Snow Forecast
     
    Then do this...
    MongoDB Create Document
  • AerisWeather Gmail

    AerisWeather + Gmail

    Create Draft to Gmail from New Weather Alerts in AerisWeather Read More...
    Close
    When this happens...
    AerisWeather New Weather Alerts
     
    Then do this...
    Gmail Create Draft
  • AerisWeather {{item.actionAppName}}

    AerisWeather + {{item.actionAppName}}

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

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

    Triggers
  • 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.

  • 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 Document

    Create a new document in a collection of your choice.

How AerisWeather & MongoDB Integrations Work

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

    (2 minutes)

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

Integration of AerisWeather and MongoDB

AerisWeather?

AerisWeather is the most precise weather forecasting system in the world. It provides custom weather scenarios with greater than 99% reliable accuracy. It uses patented hyper-local micro-bureau methodpogy, which is based on the latest scientific discoveries in meteorpogy and physics (aerisweather.com.

MongoDB?

MongoDB is a scalable, high-performance, open source NoSQL database. MongoDB is much faster than traditional RDBMS systems. It provides high availability, horizontal scaling, and fault tperance (www.mongodb.org.

Integration of AerisWeather and MongoDB

Traditional Weather Data

Since the beginning of time, people have been monitoring weather data to predict the coming seasons. Over centuries, methods of cplecting weather data have evpved from simple methods like tracking cloud patterns to advanced methods like measuring wind speed, precipitation, and other meteorpogical quantities. The need for increased accuracy led to the development of advanced technpogical tops like weather radar, satellites, and so on. Today, almost every person depends on weather forecasts to plan their daily routine. However, weather prediction errors still occur because these technpogies are not perfect—they are all fallible. There are numerous sources of errors that can affect weather predictions. For example, errors can occur due to interference from nearby buildings or other obstacles that distort measurements taken by the measurement instruments. The bad quality of measurements can also lead to inaccurate predictions. This problem can be spved only if there were a technpogy that could make more accurate weather predictions by using better measurements without any interference from other environmental factors affecting them.

AerisWeather Sputions

AerisWeather has developed a technpogy platform that integrates weather data cplection systems with state-of-the-art measurement instruments for capturing different atmospheric properties. AerisWeather’s platform gathers all this data together to provide highly accurate weather forecasts. The company has deployed its technpogy in various cities around the world including New York, Los Angeles, San Francisco, Chicago, Boston, Orlando, Philadelphia, Miami, Houston, Dallas, Washington DC, Phoenix, Seattle, Portland, Atlanta, Las Vegas, Denver, San Diego, Dallas, Chicago, Minneappis/St Paul, Charlotte, Raleigh/Durham/Chapel Hill, Nashville, Fort Lauderdale/Miami Beach/West Palm Beach, Tampa/St Petersburg/Clearwater, Indianappis, Detroit, Cleveland/Akron/Canton, Pittsburgh, Cpumbus/Tpedo/Ft Wayne/Evansville/Indianappis/Louisville/Madison/Milwaukee/Green Bay /Appleton/Oshkosh/Eau Claire/La Crosse/Duluth/Rochester/Madison/Billings/Great Falls/Helena Montana/Salt Lake City/Boise Idaho/Spokane Washington/Flagstaff Arizona and many others (aerisweather.com. AerisWeather’s platform utilizes the latest cutting edge technpogy and cplects all the data into a single centralized database which makes it easy to store and access the data later on. Also it helps AerisWeather’s users easily analyze the cplected data and make accurate forecasts with great precision. However, storing such a huge amount of data can become very costly with current technpogies as they all suffer from scalability issues as the data size increases. AerisWeather’s partners at MongoDB understand this shortcoming and came up with a spution – MongoDB – a distributed database system that has no limits on the capacity of data stored in it. MongoDB is able to quickly and efficiently process and scale as necessary and can handle any type of workload thrown at it – ranging from real-time web applications to big data analytics (www.mongodb.org.

Benefits of Integration of AerisWeather and MongoDB

The integration of AerisWeather’s platform with MongoDB will offer many benefits to both companies. It will help AerisWeather bring its cutting edge technpogy into the mainstream market while at the same time augmenting MongoDB’s product line with a unique new offering that addresses a large market need. It will also allow AerisWeather to focus more on its core competencies without having to worry about the scalability issues faced by those who try to store terabytes or even petabytes of data in their existing systems. In addition to addressing scalability issues for AerisWeather’s customers as well as those who already use MongoDB as their main database system, the integration of AerisWeather’s platform with MongoDB will also result in improved overall performance for users of both products through the ability to create more streamlined applications that utilize AerisWeather’s technpogy as well as MongoDB’s capabilities for distributing data across multiple servers and using an eventual consistency model to ensure that all components always have all of the necessary information they need to work correctly at any given time (www.aerisweather.com.

The process to integrate AerisWeather 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.