How to load data from Firebase Realtime Database to MySQL Destination
Learn how to use Airbyte to synchronize your Firebase Realtime Database data into MySQL Destination within minutes.


Building your pipeline or Using Airbyte
Airbyte is the only open source solution empowering data teams to meet all their growing custom business demands in the new AI era.
Building in-house pipelines
- Inconsistent and inaccurate data
- Laborious and expensive
- Brittle and inflexible
After Airbyte
- Reliable and accurate
- Extensible and scalable for all your needs
- Deployed and governed your way
Start syncing with Airbyte in 3 easy steps within 10 minutes



Take a virtual tour
Demo video of Airbyte Cloud
Demo video of AI Connector Builder
Setup Complexities simplified!
Simple & Easy to use Interface
Airbyte is built to get out of your way. Our clean, modern interface walks you through setup, so you can go from zero to sync in minutes—without deep technical expertise.
Guided Tour: Assisting you in building connections
Whether you’re setting up your first connection or managing complex syncs, Airbyte’s UI and documentation help you move with confidence. No guesswork. Just clarity.
Airbyte AI Assistant that will act as your sidekick in building your data pipelines in Minutes
Airbyte’s built-in assistant helps you choose sources, set destinations, and configure syncs quickly. It’s like having a data engineer on call—without the overhead.
What sets Airbyte Apart
Modern GenAI Workflows
Streamline AI workflows with Airbyte: load unstructured data into vector stores like Pinecone, Weaviate, and Milvus. Supports RAG transformations with LangChain chunking and embeddings from OpenAI, Cohere, etc., all in one operation.
Move Large Volumes, Fast
Quickly get up and running with a 5-minute setup that enables both incremental and full refreshes for databases of any size, seamlessly scaling to handle large data volumes. Our optimized architecture overcomes performance bottlenecks, ensuring efficient data synchronization even as your datasets grow from gigabytes to petabytes.
An Extensible Open-Source Standard
More than 1,000 developers contribute to Airbyte’s connectors, different interfaces (UI, API, Terraform Provider, Python Library), and integrations with the rest of the stack. Airbyte’s AI Connector Builder lets you edit or add new connectors in minutes.
Full Control & Security
Airbyte secures your data with cloud-hosted, self-hosted or hybrid deployment options. Single Sign-On (SSO) and Role-Based Access Control (RBAC) ensure only authorized users have access with the right permissions. Airbyte acts as a HIPAA conduit and supports compliance with CCPA, GDPR, and SOC2.
Fully Featured & Integrated
Airbyte automates schema evolution for seamless data flow, and utilizes efficient Change Data Capture (CDC) for real-time updates. Select only the columns you need, and leverage our dbt integration for powerful data transformations.
Enterprise Support with SLAs
Airbyte Self-Managed Enterprise comes with dedicated support and guaranteed service level agreements (SLAs), ensuring that your data movement infrastructure remains reliable and performant, and expert assistance is available when needed.
What our users say

Raman Singh
Predictable, straightforward pricing model that simplified budgeting and significantly reduced overall spend

Chase Zieman

“Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”

Rupak Patel
"With Airbyte, we could just push a few buttons, allow API access, and bring all the data into Google BigQuery. By blending all the different marketing data sources, we can gain valuable insights."
How to Sync to Manually
Step 1: Set Up Your Firebase Project
- Go to the Firebase console (https://console.firebase.google.com/).
- Select your project.
- Navigate to the Realtime Database section.
- Ensure you have the necessary permissions to read the data from your database.
Step 2: Export Data from Firebase Realtime Database
- Open the Realtime Database in the Firebase console.
- Click on the three dots icon (`⋮`) next to the `+` sign to open the menu.
- Select "Export JSON."
- This will download a JSON file containing all the data from your Firebase Realtime Database.
Step 3: Set Up Your MySQL Database
- Install MySQL Server on your local machine or server if not already installed.
- Access MySQL through a command-line interface or a GUI tool like phpMyAdmin or MySQL Workbench.
- Create a new database using the following SQL command:
```sqlCREATE DATABASE your_database_name;``` - Select the database:
```sqlUSE your_database_name;``` - Create tables that correspond to the structure of your Firebase data. Ensure that the data types in MySQL match the types of data you're importing from Firebase.
Step 4: Format Firebase Data for MySQL
- Write a script or use a tool to convert the JSON file into SQL statements. This can be done in a programming language of your choice (e.g., Python, Node.js).
- The script should parse the JSON file and generate `INSERT` statements for each record.
- Handle any data type conversions that may be necessary (e.g., converting timestamps to MySQL datetime format).
Step 5: Import Data into MySQL
- Use the MySQL command-line interface or a GUI tool to run the SQL statements generated in the previous step.
- For command-line, navigate to the directory containing your SQL file and run:
```bashmysql -u username -p your_database_name < data.sql``` - Replace `username` with your MySQL username and `data.sql` with the path to your SQL file.
- Enter your password when prompted.
Step 6: Verify the Imported Data
- After the import is complete, verify that the data has been transferred correctly.
- Run `SELECT` queries on your MySQL tables to check if the records match the data from Firebase.
Additional Considerations
- Security: Ensure that your Firebase data export and MySQL import processes are secure, especially if dealing with sensitive data.
- Data Integrity: Make sure that foreign keys, unique constraints, and indexes are properly handled in your MySQL schema.
- Automation: If this is a recurring task, consider automating the process with a script or a cron job.
- Error Handling: Implement error handling in your script to manage any issues that arise during the conversion or import process.
- Backup: Always create backups of your data before starting the migration process.
Example Script (Python)
Here's a simple example of how you might write a Python script to convert Firebase JSON data to SQL:
```python
import json
# Load your Firebase JSON data
with open('firebase_data.json', 'r') as file:
firebase_data = json.load(file)
# Example: Assuming firebase_data is a dictionary with keys as record IDs
sql_statements = []
for record_id, record_data in firebase_data.items():
columns = ', '.join(record_data.keys())
values = ', '.join([f"'{value}'" for value in record_data.values()])
sql = f"INSERT INTO your_table_name ({columns}) VALUES ({values});"
sql_statements.append(sql)
# Save the SQL statements to a file
with open('data.sql', 'w') as file:
for statement in sql_statements:
file.write(statement + "\n")
```
Remember to replace `'your_table_name'` with the actual table name and adjust the script to fit the structure of your Firebase data and MySQL schema.
By following these steps and considerations, you can manually migrate data from Firebase Realtime Database to a MySQL database without using third-party connectors or integrations.