Firebase SQL Server Integration is a process that helps you quickly transfer data between Firebase and SQL Server. It plays a vital role when you are designing applications or websites on Firebase and are using SQL Server as your database.

In this article, you will learn how to set up Firebase SQL Server Integration. You will also get an overview of Firebase and SQL Server to understand these technologies better individually. Read along to gain insights and understand the Firebase SQL Server Integration.

How to Set up Firebase SQL Server Integration

Let’s get into the following method to set up Firebase SQL Server Integration

Manual Firebase SQL Server Integration

In this method, you will learn to convert Firebase database to SQL Server. You will need to access your Firebase account to export your Firebase node data into a JSON format. Next, you’ll have to convert that JSON file into a CSV file through an online converter. Finally, you import the CSV file onto the SQL Server database.

To do this, you need to have both a Firebase and SQL Server account. You will also need to have access to an online converter to convert the JSON file into a CSV file. Once you have done this, follow the steps given below to connect Firebase to SQL Server:

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Step 1: Exporting your Firebase data into a JSON File

The first step in Firebase SQL Server Integration is to access your Firebase account and export the data as a JSON file. To do this, select the node you wish to export, click on the vertical 3 dots icon and click on Export JSON. Once you do this, your browser will begin downloading a “.json” file for your database data.

This is shown below.

Firebase Sql server: Exporting JSON File
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Step 2: Converting the JSON file into a CSV file

The next step is to convert the JSON file into a CSV file. In case you do not have a pre-built converter in place, you can use any online converter to convert your files. You can use this online converter to accomplish this task.

Firebase Sql server: JSON CSV Converter
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Step 3: Importing the CSV File into your SQL Server Database

To import the CSV file, create a table in your SQL Server database. After the table is created follow the below steps:

  • Log in to your database using the SQL Server Management Studio, and right-click the database, and select Tasks-> Import Data.
  • Click the Next button.
  • To configure your Data Source and establish the connection, select the Flat File Source and then use the Browse button to select the CSV file you want to import.
  • For the Destination, select the correct database provider (in this case that would be any version of SQL Server) and enter the Server Name.
  • Check the authentication of the SQL Server database connection by entering the Username and Password before clicking on the Next button.
  • Next, go to the Select Source Tables and Views window, where you can Edit Data Mappings before clicking the Next > button.
  • Click on Run immediately and click the Next > button.
  • Click the Finish button to run the package and start the transfer of data from the CSV file to your SQL Server Database. 

That’s it! You have successfully set up Firebase SQL Server Integration using a JSON and CSV export/import process!

Some of the limitations of this method include:

  • You must have access to an online converter to use this method. This can be a security threat as well for your confidential data.
  • As users will have to export and convert JSON data, this method is very complex, time-consuming, and highly error-prone. 
  • This method will require having strong technical SQL knowledge.

To overcome these limitations and integrate Firebase and SQL Server quickly and efficiently, you can use Hevo’s No-code Data Pipelines. Check out the next method to understand how Hevo can help you integrate them within minutes.

Benefits of Transfering Firebase Realtime Database data to MS SQL Server

Integrating data from Firebase to SQL Server provides several benefits. Here are a few use cases:

Advanced Analytics

You may run sophisticated queries and conduct data analysis on your Firebase Realtime Database data using MS SQL Server’s robust data processing features to glean insights that aren’t achievable with Firebase Realtime Database alone.

Data Consolidation

In addition to enabling you to centralize your data for a comprehensive picture of your operations, synchronizing to MS SQL Server lets you build up a change data collection procedure that ensures your data is consistently accurate going forward, even if you’re utilising numerous sources in addition to Firebase Realtime Database.

Historical Data Analysis

The amount of historical data in Firebase Realtime Database is limited. Data synchronisation to MS SQL Server enables long-term data storage and longitudinal trend analysis.

Data Security and Compliance

Strong data security features are offered by MS SQL Server. Syncing data from the Firebase Realtime Database to MS SQL Server allows sophisticated data governance and compliance management while guaranteeing the security of your data.


Growing enterprises with increasing Firebase Realtime Database data will find MS SQL Server to be a perfect choice since it can manage big amounts of data without compromising speed.

Machine Learning and Data Science

You may use machine learning models to your data for predictive analytics, consumer segmentation, and other purposes if you have Firebase Realtime Database data in MS SQL Server.

Reporting and Visualization

While the Firebase Realtime Database offers reporting capabilities, more sophisticated business intelligence choices may be obtained by connecting data visualisation tools such as Tableau, PowerBI, and Looker (Google Data Studio) to an MS SQL Server. Airbyte can automatically convert Firebase Realtime Database tables to MS SQL Server tables if you have any.

Before we wrap up, let’s cover some basics.

Introduction to Firebase

Firebase Sql server: Firebase Logo
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Firebase is a platform developed by Google for creating mobile and web applications. It was developed by Envolve, a startup founded by James Tamplin and Andrew Lee in 2011. It was acquired by Google in 2014 for supporting mobile and web app development along with its other technologies.

Originally, Envolve provided developers an API (Application Programming Interface) that enabled the incorporation of an online chat functionality onto their websites but later they found that some application data was also being sent along with the chat messages on the online chat platform. Hence, they decided to separate the chat system and the application platform. This application platform later became Firebase.

After being acquired by Google, the first product of Firebase was the Firebase Realtime Database, an API that synchronizes application data across iOS, Android, and Web devices, and stores it on Firebase’s Cloud. It assists software developers in building real-time, collaborative applications.

Key Features of Firebase

Firebase houses a wide range of features which makes it a better choice as compared to other web and mobile application development platforms. Some of these features are:

  • Firebase has one of the best built-in Analytics dashboards. This dashboard offers unlimited reporting capabilities, efficient audience segmentation, and seamless integration with other services.
  • Firebase allows you to build high-quality applications with ease. It combines techniques like Cloud Messaging, Authentication, Hosting, Remote Configuration, Crash Reporting, and many more onto a common platform. Its UI is relatively simple to understand and work on.
  • Firebase maintains a constant interaction with all its users and this way it enhances their growth simultaneously.
  • It also helps increase your revenue with the websites/applications you create.

The features of Firebase are depicted in the below figure.

Firebase Sql server: Features of Firebase
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With Firebase SQL Server Integration, you can use the flexible, powerful, and simple UI of Firebase with a powerful database like SQL Server, all in one package.

Related: Discover the power of Firebase Analytics and data management with our two informative blogs. In setting up Firebase Analytics with BigQuery integration we walk you through simple yet effective ways to integrate Firebase Analytics seamlessly with BigQuery. Additionally, Learn how to effortlessly interact with Firebase, enabling smooth data management and efficient querying with our blog on Firebase REST APIs loading & querying data.

Introduction to SQL Server

Firebase Sql server: SQL Server Logo
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SQL Server is a robust RDBMS designed by Microsoft in 1989. Similar to other traditional RDBMSs like MySQL, PostgreSQL, etc., SQL Server also leverages SQL to interact with and manipulate data in its database. SQL is a declarative query processing language that allows all types of users to easily and efficiently access data present on SQL Server.

Currently, Microsoft offers SQL Server under two different licenses determined by the customer’s organizational and personal needs. They are the Client Access Level (CAL) model and Per-Core model.

SQL Server supports Microsoft Windows and Linux operating systems. With its programming language drivers, you can easily connect with any code. It is available in multiple languages including French, English, Japanese, Chinese, Spanish, and more.  

Key Features of SQL Server

SQL Server has some unique features that make it a popular database in the market. Some of those features are:

  • It offers support for different tools such as SQL Server Management Studio, Database Tuning Advisor, SQL Server Profiler, and BI tools.
  • It offers 24×7 online help and support capabilities.
  • SQL Server supports high-level programming languages like Java and Python.
  • It is helpful for the backend development of applications that use SQL.
  • It has intelligent query processing enhancements built into it to improve the query optimizer output and make them more efficient.

To learn more about SQL Server, click this link.


This article gave you a step-by-step guide on setting up Firebase SQL Server Integration. It also gave you an overview of both Firebase and SQL Server along with their features.

Overall, Firebase SQL Server Integration can be set up using either using the manual method or by using Hevo, but if time, ease of use, and minimal engineering requirements are parameters for you, using automated data platforms like Hevo can help you to set up Firebase SQL Server Integration seamlessly!

In case you want to integrate data from data sources into your desired Database/destination like SQL Server, then Hevo is the right choice for you! Hevo is the only real-time ELT No-code Data Pipeline platform that cost-effectively automates data pipelines that are flexible to your needs. Hevo’s pre-built integration with MySQL, SQL Server along with 150+ Sources (including 40+ free Data Sources) will take full charge of the data transfer process, allowing you to set up MySQL to SQL Server migration seamlessly and focus solely on key business activities.

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Share your experience of setting up Firebase SQL Server Integration in the comments section below.

Aakash Raman
Former Business Associate, Hevo Data

Aakash is a research enthusiast who was involved with multiple teaming bootcamps including Web Application Pen Testing, Network and OS Forensics, Threat Intelligence, Cyber Range and Malware Analysis/Reverse Engineering. His passion to the field drives him to create in-depth technical articles related to data industry.

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