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PostgreSQL + Cloud Firestore Integrations

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

About PostgreSQL

PostgreSQL is a leading object-relational database management system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads.

About Cloud Firestore

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

Cloud Firestore Integrations
Cloud Firestore Alternatives

Connect the apps you use everyday and find your productivity super-powers.

  • Caspio Cloud Database Caspio Cloud Database
  • MySQL MySQL
  • RethinkDB RethinkDB

Best PostgreSQL and Cloud Firestore Integrations

  • PostgreSQL Google Sheets

    PostgreSQL + Google Sheets

    Create rows in Google Sheets for new PostgreSQL custom query matches. Read More...
    When this happens...
    PostgreSQL New Row (Custom Query)
     
    Then do this...
    Google Sheets Create Spreadsheet Row
    Do you need a solution to give co-workers consistent access to PostgreSQL rows that meet a custom query? Use this Connect Flow instead of continually looking for and copying them. Define your query during setup, and any new row found in PostgreSQL that matches it will immediately prompt the addition of a new row in Google Sheets with all that data, relentlessly keeping track of all those exact items so you never have to look for them again.
    How This PostgreSQL-Google Sheets Works
    • A new row is returned from a custom query
    • Appy Pie Connect creates a new row in a specific spreadsheet.
    What You Need
    • PostgreSQL account
    • Google Sheets account
  • PostgreSQL Asana

    PostgreSQL + Asana

    Create Asana tasks for new PostgreSQL custom query matches Read More...
    When this happens...
    PostgreSQL New Row (Custom Query)
     
    Then do this...
    Asana Create Task
    When you need to find those exact PostgreSQL entries you need to act on, you need a better option to manual searches. Set up this Connect Flow to handle things for you. When you enable it, a new task will be automatically added to Asana whenever a new row matching the custom PostgreSQL query you define is found. You can rely on Appy Pie Connect from then on to keep your actionable items up to date and accessible.
    How This PostgreSQL- Asana Works
    • A new row is returned from a custom query
    • Appy Pie Connect creates a new task in Asana.
    What You Need
    • PostgreSQL account
    • Asana account
  • PostgreSQL Slack

    PostgreSQL + Slack

    Receive Slack notifications for new custom query matches on PostgreSQL Read More...
    When this happens...
    PostgreSQL New Row (Custom Query)
     
    Then do this...
    Slack Send Channel Message
    Searching your database with the same query again and over can rapidly get tedious, especially if you have to keep your team informed. However, if you set up this connect flow, both of those problems will be immediately addressed. After it's turned on, any new row found on PostgreSQL that matches your custom query will instantly trigger a message to your preferred Slack channel, containing all the information you need to remain on top of new items without missing a beat.
    How This PostgreSQL- Slack Works
    • A new row is returned from a custom query
    • Appy Pie Connect posts a new message to a specific channel you choose.
    What You Need
    • PostgreSQL account
    • Slack account
  • PostgreSQL MySQL

    Cloud Firestore + MySQL

    Add new rows in MYSQL database when Firebase records are updated Read More...
    When this happens...
    PostgreSQL New Document Within a Firestore Collection
     
    Then do this...
    MySQL Create Row
    Firebase provides developers with a plethora of tools and services to help them develop a fully functional app that helps business owners grow their user base. Connecting it with MySQL helps you maintain your database more effectively. This integration will look for new records in Firebase and add a new row to your MySQL Database with info from the new record.
    How This Cisco Cloud Firestore – MySQL Integration Works
    • A new document is added in Cloud Firebase collection
    • Appy Pie Connect will automatically create new row in MySQL
    You Will Require
    • Cloud Firestore account
    • MySQL account
  • PostgreSQL WordPress

    Cloud Firestore + WordPress

    Send notifications to a Slack channel when new Firestore documents are added to a collection Read More...
    When this happens...
    PostgreSQL New Document Within a Firestore Collection
     
    Then do this...
    WordPress Create Post


    You'll want to know when you have fresh materials available. Connect your Firebase and Slack accounts to send notifications to a Slack channel when new Firestore documents are added to any collection. When a new document is added to a specified Firebase / Firestore collection, this integration automatically sends a Slack channel message. You'll be notified once new papers become available.
    How this Cloud Firebase – Slack Integration Works
    • A new document is added in Cloud Firebase collection
    • Appy Pie Connect send a message in a channel in Slack
    You Will Require
    • Cloud Firestore account
    • MySQL account
  • PostgreSQL WordPress

    {{item.triggerAppName}} + {{item.actionAppName}}

    {{item.message}} Read More...
    When this happens...
    PostgreSQL {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppImage}} {{item.actionTitle}}
Connect PostgreSQL + Cloud Firestore in easier way

It's easy to connect PostgreSQL + Cloud Firestore 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 Document Within a Firestore Collection

    New Document Within a Firestore Collection

    Actions
  • Create Row

    Adds a new row.

  • Update Row

    Updates an existing row.

  • Create Cloud Firestore Document

    Creates a new document within a Cloud Firestore collection.

How PostgreSQL & Cloud Firestore Integrations Work

  1. Step 1: Choose PostgreSQL as a trigger app and Select "Trigger" from the Triggers List.

    (30 seconds)

  2. Step 2: Authenticate PostgreSQL with Appy Pie Connect.

    (10 seconds)

  3. Step 3: Select Cloud Firestore as an action app.

    (30 seconds)

  4. Step 4: Pick desired action for the selected trigger.

    (10 seconds)

  5. Step 5: Authenticate Cloud Firestore with Appy Pie Connect.

    (2 minutes)

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

Integration of PostgreSQL and Cloud Firestore

It’s not surprising to hear the PostgreSQL database is one of the most popular relational databases in the world. It has a great set of features, and developers love it because it’s easy to use. Today, we’ll talk about how PostgreSQL can be integrated with Cloud Firestore.

First, let’s take a look at what PostgreSQL is. It’s a powerful enterprise-class database that allows users to store large amounts of data in a flexible way. It’s very fast for performing complex queries, and also provides many useful features, including:

SQL support

Row level locking

Transactional capabilities

Clustering capabilities

Now, let’s take a look at what Cloud Firestore is. It’s a NoSQL document database built for Android, iOS, web, and server applications. Cloud Firestore is designed to store your app’s data and to scale with your user base. Here are some of its main features:

Realtime database

Data synchronization across clients

Queryable database schema

Firestore synchronizes data using a client library. Any time you add, update or delete an object, changes are synchronized with other clients immediately. All client libraries will have access to the same data and therefore will be able to keep all users up to date with the latest changes. And of course, Cloud Firestore scales as your app grows. For example, you can start by having 1 replica and then add more replicas over time if needed.

Now that we’ve covered what PostgreSQL and Cloud Firestore are, let’s talk about how they can be used together. They’re both very powerful products, so they can work well together. Some companies have used PostgreSQL as their main database and others have used it alongside Cloud Firestore. We recommend using PostgreSQL for storing non-user generated content and using Cloud Firestore to store user generated content (like documents. This will help you reduce the amount of time spent on managing and scaling your databases. You can read more about using PostgreSQL with Cloud Firestore here.

We’ve just talked about how PostgreSQL can be integrated with Cloud Firestore. We hope you found this post interesting! As always, feel free to leave any questions or comments below!

The process to integrate PostgreSQL and Cloud Firestore 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.