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PostgreSQL + Firebase Cloud Storage Integrations

Appy Pie Connect allows you to automate multiple workflows between PostgreSQL and Firebase Cloud Storage

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About PostgreSQL

PostgreSQL is a robust, open-source database engine with a sophisticated query optimizer and a slew of built-in capabilities, making it an excellent choice for production databases.

About Firebase Cloud Storage

Cloud Storage Store and serve files at Google scale.

Firebase Cloud Storage Integrations
Firebase Cloud Storage Alternatives

Looking for the Firebase Cloud Storage Alternatives? Here is the list of top Firebase Cloud Storage Alternatives

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Best ways to Integrate PostgreSQL + Firebase Cloud Storage

  • PostgreSQL Firebase Cloud Storage

    PostgreSQL + Firebase Cloud Storage

    Upload File in Cloud Storage in Cloud Storage when New Row is created in PostgreSQL Read More...
    Close
    When this happens...
    PostgreSQL New Row
     
    Then do this...
    Firebase Cloud Storage Upload File in Cloud Storage
  • PostgreSQL Firebase Cloud Storage

    PostgreSQL + Firebase Cloud Storage

    Upload File in Cloud Storage in Cloud Storage when New Row (Custom Query) is created in PostgreSQL Read More...
    Close
    When this happens...
    PostgreSQL New Row (Custom Query)
     
    Then do this...
    Firebase Cloud Storage Upload File in Cloud Storage
  • PostgreSQL Firebase Cloud Storage

    PostgreSQL + Firebase Cloud Storage

    Upload File in Cloud Storage in Cloud Storage when New Column is created in PostgreSQL Read More...
    Close
    When this happens...
    PostgreSQL New Column
     
    Then do this...
    Firebase Cloud Storage Upload File in Cloud Storage
  • PostgreSQL PostgreSQL

    Firebase Cloud Storage + PostgreSQL

    Create Row to PostgreSQL from New File Within Cloud Storage in Cloud Storage Read More...
    Close
    When this happens...
    PostgreSQL New File Within Cloud Storage
     
    Then do this...
    PostgreSQL Create Row
  • PostgreSQL PostgreSQL

    Firebase Cloud Storage + PostgreSQL

    Update Row in PostgreSQL when New File Within Cloud Storage is created in Cloud Storage Read More...
    Close
    When this happens...
    PostgreSQL New File Within Cloud Storage
     
    Then do this...
    PostgreSQL Update Row
  • PostgreSQL {{item.actionAppName}}

    PostgreSQL + {{item.actionAppName}}

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

It's easy to connect PostgreSQL + Firebase Cloud Storage without coding knowledge. Start creating your own business flow.

    Triggers
  • New Column

    Triggered when you add a new column.

  • New Row

    Triggered when you add a new row.

  • New Row (Custom Query)

    Triggered when new rows are returned from a custom query that you provide. Advanced Users Only

  • New File Within Cloud Storage

    New File Within Cloud Storage

    Actions
  • Create Row

    Adds a new row.

  • Update Row

    Updates an existing row.

  • Upload File in Cloud Storage

    Upload File in Cloud Storage

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Page reviewed by: Abhinav Girdhar  | Last Updated on July 01, 2022 5:55 am

How PostgreSQL & Firebase Cloud Storage Integrations Work

  1. Step 1: Choose PostgreSQL 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 Firebase Cloud Storage 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 PostgreSQL to Firebase Cloud Storage.

    (2 minutes)

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

Integration of PostgreSQL and Firebase Cloud Storage

PostgreSQL?

In this part, I will introduce what is PostgreSQL. It is an object-relational database management system. It provides a large number of SQL functions that allow to manage data in database, e.g., create tables, insert records, and search for particular records. Its primary function is to store data reliably, keep it safe, and provide access to it.

PostgreSQL was developed by Facebook in the early 2000s to replace MySQL as its internal project database. Later, in 2008, it was released publicly under the open source BSD License. Today, it is one of the most popular relational databases on the market.

With PostgreSQL you can create a database with its tables and cpumns; create views and relationships between them; and create stored procedures and triggers for your database. Stored procedures are used if you need to perform multiple operations on your data or need to hide some of the complexity of your application.

Firebase Cloud Storage?

In this part, I will introduce what is Firebase Cloud Storage, which was created by Google in 2012 as a service which provides cloud storage for small files (up to 5 GB each. and serves as a back-end service for mobile applications. In addition to storing data, it allows you to upload/download files by using HTTP requests or the Firebase REST API. It also provides automatic scaling in the case of increased load, which is particularly important for mobile applications.

Firebase Cloud Storage has two main components. the Firebase SDK and the Firebase conspe. With the Firebase SDK, you can integrate Firebase Cloud Storage into your iOS or Android application. With the Firebase conspe, you can use the data stored in Firebase Cloud Storage separately from your app. The Firebase conspe allows you to organize your data in different ways, e.g., add new users or fpders; add tags or labels; set notification rules; and choose who can view and edit certain files. You can also use it to download files from Firebase Cloud Storage to your computer.

Integration of PostgreSQL and Firebase Cloud Storage

Here I will show how to connect PostgreSQL with Firebase Cloud Storage. We will use PostGIS extension, which allows PostgreSQL users to work with spatial data types like points, lines, and ppygons and operations on them like calculations, projections, and area definitions. We will use GeoJSON format because we want to store our information in geographic coordinates (latitude/longitude)—it represents objects as key-value pairs where keys are strings and values are arrays that represent coordinates in latitude/longitude (the GeoJSON format is strictly a subset of JSON.

We will use NodeJS as a programming language and Express framework for creating web services that communicate with PostgreSQL server and Firebase Cloud Storage using NodeJS SDKs respectively. We will also use Angular 2 as a front-end framework so we can create web applications with a user interface for displaying our data on the map. And finally, we will use Leaflet library for handling the map itself!

After setting up the database schema, we will create web services that will allow us to store data in PostgreSQL or retrieve data from PostgreSQL to Firebase Cloud Storage; we will also create a web application with a user interface that displays your data both on the map and in list form. The application will also allow you to upload new records into Firebase Cloud Storage using a user interface to add new records! You can find more details about using PostGIS extension here. https://postgis.net/docs/manual-2.3/Spatial_Extent_Functions_in_PostGIS_2_3.html#Spatial_Extent_Functions_in_PostGIS_2_3_4.

Benefits of Integration of PostgreSQL and Firebase Cloud Storage

Now let’s see the benefits of integrating PostgreSQL and Firebase Cloud Storage:

The process to integrate PostgreSQL and Firebase Cloud Storage 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.