How to load data from Firebase Realtime Database to DynamoDB
Learn how to use Airbyte to synchronize your Firebase Realtime Database data into DynamoDB 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.
- Inconsistent and inaccurate data
- Laborious and expensive
- Brittle and inflexible
- 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
Move Large Volumes, Fast
An Extensible Open-Source Standard
Full Control & Security
Fully Featured & Integrated
Enterprise Support with SLAs
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
First, set up the Firebase Admin SDK in your development environment. This involves creating a Firebase project in the Firebase Console and generating a private key file for your service account. You will then need to initialize the Firebase Admin SDK in your environment using this key. This setup allows you to authenticate and access your Firebase Realtime Database programmatically.
After setting up the Firebase Admin SDK, write a script to access and retrieve the data from your Firebase Realtime Database. You can use the Firebase Admin SDK to read data from the database by specifying the path to the data you want to retrieve. Ensure that you handle the data efficiently, especially if you're working with a large dataset, by considering pagination or batched reads where necessary.
Set up the AWS SDK for the programming language you are using (e.g., Node.js, Python, Java). Configure the AWS SDK with your AWS credentials and specify the region of your DynamoDB table. This setup will enable you to interact with DynamoDB and perform operations such as writing data to your tables.
In the AWS Management Console, create a new DynamoDB table where you will store the data migrated from Firebase. Define the primary key and any secondary indexes necessary for your data retrieval requirements. Ensure that your table's schema aligns with the structure of your Firebase data for a smooth transition.
Write a script to transform the data retrieved from Firebase into a format suitable for DynamoDB. DynamoDB requires data to be in a particular structure, so you may need to map Firebase's JSON data structure to DynamoDB's attribute-value pairs. Consider how you will handle data types and any necessary conversions, such as converting timestamps or boolean values.
Use the AWS SDK to batch write the transformed data into your DynamoDB table. Implement error handling to manage any issues that arise during the write process, such as duplicate keys or data type mismatches. For large datasets, consider using DynamoDB’s BatchWriteItem operation to efficiently insert data in chunks and avoid throttling.
After migrating the data, verify its integrity and consistency. Cross-check a sample of the data in DynamoDB against the original data in Firebase to ensure it has been migrated accurately. Implement automated checks or scripts that can validate data types, counts, and key-value pairs to confirm that the migration was successful.
Following these steps will help you effectively move data from Firebase Realtime Database to DynamoDB without relying on third-party connectors or integrations.