How To Connect Firebase To Bigquery

How To Connect Firebase To Bigquery

Written by Sophie Robertson, In How To, Published On
July 26, 2023

Developers’ work is easier because of Google’s Cloud-based products and services suite. The intuitive design and exceptional quality of service offered by Google make its products the de facto standard for many large businesses. As the market for cloud-based data storage and processing has grown, Google has responded by integrating services like Google Firebase into BigQuery and BigQuery Analytics 360, among many others.


The Google Cloud Platform (GCP) is a well-liked offering from Google that facilitates business transition to Cloud-based solutions. The Google Cloud Platform provides several tools that can improve the safety and efficacy of a company’s operations. Google BigQuery, a Cloud-based Data Warehousing solution, is one of the most sought-after resources provided by Google as part of its Cloud platform. Google’s Cloud platform supports easy integration with all of Google’s other products, including Google Firebase.  This post will teach you how to integrate Google Firebase with BigQuery so that you can analyze user data from all of the Web and mobile apps your company uses.

The Importance of Connecting Firebase To Bigquery

The Google Firebase Standard Development Kit (SDK) makes it simple to define up to 500 events that can be tracked, and unlimited reporting is available for all of them thanks to the Google Analytics platform on which Google Firebase Analytics runs. By integrating with Google’s Realtime Cloud Database, Google Firebase Analytics allows businesses to monitor and analyze user activity within their app in real-time.

Some of Firebase’s best features are as follows:

Real-Time Database:

Firebase’s NoSQL databases, hosted in the cloud, allow storing and synchronizing data in real-time. Offline storage and online access are both possible with its help. Both the traditional Realtime Database and the newer Google Cloud Firestore are available.

Performance Monitoring:

Firebase’s performance monitoring functionality lets you monitor and evaluate how well your app is running. It aids in locating stumbling blocks to productivity so they may be removed.

Analytics and Reporting:

Firebase also has excellent reporting and analytics features. It offers various services for keeping tabs on and troubleshooting your apps’ performance.

Cloud Messaging: Firebase’s cloud messaging service provides a robust and versatile messaging infrastructure for sending personalized push notifications to your app’s users.

Crash Reporting:

Firebase’s crash reporting functionality lets you monitor and investigate application crashes, which speeds up the process of finding and fixing bugs.

An Overview of BigQuery

Google’s BigQuery is a cloud-based data warehouse and analytics solution that doesn’t require any server hardware or maintenance. Standard SQL queries may be used for simply storing, managing, and analyzing petabytes of data. BigQuery’s great speed and scalability come from its distributed design. It’s simple to include with preexisting data sources because it supports various data formats, including CSV, JSON, Avro, Parquet, and ORC.

Why Connect Firebase To Bigquery?

If your company uses Firebase as the backend for its mobile or Web applications, connecting it to BigQuery can have several positive effects. Advanced data analysis that aids decision-making may be performed by linking a Firebase database (Realtime Database or Firestore) to BigQuery.

The advantages of linking Firebase to BigQuery are as follows:

  1. Firebase can handle massive amounts of data in real time, making it ideal for mobile and online apps. However, it might become challenging to examine this data inside Firebase as the volume of data rises. Connecting Firebase to BigQuery makes it simple to manage massive amounts of data with the help of BigQuery’s scalability.
  2. Firebase’s basic analytics capabilities may not be enough for workloads that need more complex data analysis. You can get more out of your data with BigQuery’s sophisticated analytics features like machine learning and statistical analysis.
  3. Data analysis and reporting in BigQuery may be tailored to your needs by composing bespoke SQL queries. Firebase only offers standard, pre-made analytics reports. Therefore, this level of personalization is not feasible.
  4. BigQuery can interface with other Google Cloud services like Data Studio to better view your data in real-time dashboards and reports. This might give you a broader perspective on the information, allowing you to make better choices.

Integration Strategies for Firebase To Bigquery

Data may be moved from Firebase To Bigquery using several different approaches. This tutorial looks at the most often-used approaches for integrating Firebase with BigQuery.

  • Method 1: Import Data from Firebase To Bigquery Manually.
  • Method 2: You may use Firebase’s built-in support for BigQuery.
  • Method 3: Use an Estuary or Other Non-SaaS Method.

Method 1:  Import Data from Firebase into BigQuery Manually

Exporting data from Firebase to a JSON file or Firestore backup is the first step in manually importing Firebase data to BigQuery. Despite appearances, this is a difficult process, especially when dealing with bigger datasets.

Let’s get into the procedure’s finer features.

  1. Access your project’s Google Firebase Console.
  2. Pick Project Settings from the drop-down menu when you click the Settings icon to the left of Project Overview.
  3. Click the Link button to the Project Settings > Integrations > BigQuery tile.
  4. Pick the information you want to send to Google BigQuery and click the Link to BigQuery button.

It will enable the preexisting connectivity between Google Firebase and BigQuery.

Method 2: You may use Firebase’s built-in support for BigQuery

You can easily move your app’s data to BigQuery thanks to Firebase’s built-in connectivity with BigQuery. To set up this integration, a BigQuery project must be created and linked to your Firebase project, and the data export parameters in the Firebase UI must be configured. Once setup is complete, Firebase will immediately begin sending your app’s data to BigQuery in a way that makes it easy to analyze.

Let’s get into the procedure’s finer features.

  1. Log in to your Firebase account and choose your project from the list.
  2. Choose the gear wheel under Project Settings.
  3. Locate BigQuery under Integrations and then click the Link button.
  4. You’ll learn how to connect Firebase to BigQuery.
  5. Select the data entities you wish to export to BigQuery and configure the integration by following the on-screen instructions.
  6. The final step is to choose Link to BigQuery.

Once you’ve connected Firebase and BigQuery, data from Firebase will be sent to BigQuery automatically.

Method 3: Use an Estuary or Other Non-SaaS Method

A SaaS solution like Estuary might be a wonderful choice if you’re searching for a more efficient and reliable way to transfer Firebase data into BigQuery. One of Firebase’s two database alternatives is Google Cloud Firestore, and both it and BigQuery may be integrated with the help of Estuary, a robust data integration tool.

Let’s get into the procedure’s finer features.

  1. Collect the information from the relevant source. To access your Estuary data, either logs login or create an account. After logging in, choose Capture. Select Add New Capture from the capture window.
  2. Determine Where to Send the Information. There are two options for specifying where your information will go. After a successful capture, you’ll get a pop-up; click Materialize Connections there, or go to the Estuary dashboard and select Materializations from the left navigation. Next, select the New Materialization option.
  3. Choose BigQuery as our materialization mechanism. You’ll need to fulfill several BigQuery requirements before connecting to Flow. Please read these instructions carefully before proceeding. Please specify the Materialization name and Endpoint configuration. Proceed by selecting Next.
  4. Select “Save and Publish” to complete the process. Following these instructions, Estuary Flow will immediately begin continuously replicating your data from Firebase to BigQuery.


Businesses using their app data for sophisticated analytics and decision-making would benefit greatly from integrating Firebase Into Bigquery. BigQuery is a robust cloud-based data warehousing and analytics solution, whereas Firebase is an all-inclusive platform for developing and maintaining online and mobile apps.

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