Integrate Cloud Firestore with PostgreSQL

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

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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 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.

Want to explore Cloud Firestore + PostgreSQL quick connects for faster integration? Here’s our list of the best Cloud Firestore + PostgreSQL quick connects.

Explore quick connects

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Connect Cloud Firestore + PostgreSQL in easier way

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

  • Triggers
  • New Document Within a Firestore Collection

    New Document Within a Firestore Collection

  • 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

  • Actions
  • Create Cloud Firestore Document

    Creates a new document within a Cloud Firestore collection.

  • Create Row

    Adds a new row.

  • Update Row

    Updates an existing row.

How Cloud Firestore & PostgreSQL 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 PostgreSQL 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 PostgreSQL.

    (2 minutes)

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

Integration of Cloud Firestore and PostgreSQL

Cloud Firestore is a real-time database service by Google that stores data in JSON format and allows users to create, update and delete data in real time. Data can be stored as documents with cplections of documents. Cloud Firestore gives the ability to organize data into cplections, allowing the user to have a more fine-grained access contrp than an entire server.

Firestore is able to replicate data across multiple regions in real time so that it can be available anywhere at any time. It can also be used alongside other Google Cloud services such as BigQuery, Cloud Dataflow, and Cloud Datastore to work with large amounts of data.

PostgreSQL is a relational database management system (RDBMS. which supports SQL, the most popular and standard language in the industry for accessing and managing data. It can be used to store any type of data, from text to binary large objects including various media types and geospatial data. PostgreSQL is developed by the PostgreSQL Global Development Group, consisting of a handful of companies and individual contributors.

Integration of Cloud Firestore and PostgreSQL

Cloud Firestore can be integrated with PostgreSQL using StreamView to create a near real-time pipeline for stream processing. StreamView is a stream processor that works in conjunction with Cloud Pub/Sub and Cloud Dataflow to process streaming data in real time. It allows Google Analytics's 'Profile' page to show real-time metrics.

In order to connect Cloud Firestore and PostgreSQL, they must each have their own project created on the Google Cloud Platform. Once these projects are created, an instance of either PostgreSQL or Firestore must be created on a Compute Engine virtual machine instance running in a region that both projects are located in. A Compute Engine instance can only run one application at a time, so if a specific application needs to be deployed on more than one instance, Compute Engine's multi-instance feature must be enabled before provisioning the instances. The Compute Engine instances will have a boot disk attached to them that is used to store the data locally on each server before sending it via HTTP calls to Cloud Pub/Sub.

Once the databases have been connected, data can be streamed directly from PostgreSQL into Cloud Firestore in real time. This can happen at any time, even while new data is being recorded in PostgreSQL. This means that there is no need to wait for a batch job to complete before continuing development on another part of the application. The documentation for setting up StreamView can be found here.

Benefits of Integration of Cloud Firestore and PostgreSQL

Due to how well integrated these two services are, there are many different benefits that come from using them together. Being able to use PostgreSQL for storing historical data and then using Firestore for storing and streaming data in real time provides flexibility for developers using this set up. Using both services in tandem allows Firestore users to get the best of both worlds when it comes to real-time capabilities and historical data storage capabilities. As mentioned before, it also provides flexibility for the developer because there is no longer a need to wait for large batches of data to be processed before continuing development on another part of the application. This allows developers to continue on with developing the application while new data is streamed directly into Firestore and made available almost immediately. Also, storing data in JSON allows developers to use standardized tops such as JavaScript, AngularJS, React, etc., making integration easier than ever before.

The process to integrate Cloud Firestore and PostgreSQL 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.

Page reviewed by: Abhinav Girdhar  | Last Updated on February 01,2023 11:04 am