How to load data from Braze to Firebolt
Learn how to use Airbyte to synchronize your Braze data into Firebolt 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: Export Data from Braze
Begin by exporting the data you need from Braze. You can do this by accessing the Braze dashboard and utilizing their data export feature. Typically, you can export data in formats such as CSV or JSON. Make sure to configure the export settings to include all the necessary fields and filters to capture the desired dataset.
Step 2: Download the Exported Files
Once the data export is complete, download the exported files onto your local system. Ensure that you maintain the file integrity by checking that all files are complete and match the expected data volume and structure.
Step 3: Prepare Your Local Environment
Set up your local environment for data processing. This might involve ensuring you have the necessary tools installed, such as a command-line interface (CLI) tool or script to handle data processing. You might also need to prepare a suitable directory structure to organize your data files.
Step 4: Transform Data for Firebolt Compatibility
Transform the exported Braze data into a format that Firebolt can ingest. This often involves converting the data into a columnar format such as Parquet or ORC if Firebolt requires it. Use scripting languages like Python or tools like pandas for data transformation. Ensure that the data schema aligns with the target table schema in Firebolt.
Step 5: Upload Data to Cloud Storage
Firebolt requires data to be loaded from a cloud storage service. Upload your transformed data files to a compatible cloud storage service such as Amazon S3. Create a structured bucket and folder system to manage these files efficiently, and ensure proper permissions are set for access.
Step 6: Configure Firebolt for Data Ingestion
Log into your Firebolt account and prepare to ingest the data. Create a new table or use an existing one, ensuring the table schema matches the structure of your transformed data files. Utilize Firebolt’s SQL syntax to define the table and specify data types for each column.
Step 7: Load Data into Firebolt
Use Firebolt’s SQL interface to execute a COPY command to load data from your cloud storage into the Firebolt table. Specify the relevant file paths and formats. Monitor the loading process for any errors and validate that all data is correctly ingested by running test queries to verify data integrity and completeness.
By following these steps, you can successfully move data from Braze to Firebolt without relying on third-party connectors or integrations.