How to load data from Braze to Clickhouse
Learn how to use Airbyte to synchronize your Braze data into Clickhouse 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: Understand Braze Data Export Options
Begin by familiarizing yourself with Braze's data export capabilities. Braze allows you to export data via their REST API. Determine the specific datasets you need from Braze, such as user engagement data or campaign performance data.
Step 2: Set Up Braze API Access
Set up API access by creating an API Key in Braze. Navigate to Braze's dashboard under 'Developer Console' and generate an API key with permissions to export data. Securely store this key as it will be required for authentication in your API requests.
Step 3: Export Data Using Braze API
Use the Braze REST API to export data. Construct API requests to the relevant endpoints to extract the data. For instance, use `/users/export` to get user data. This can be done using a scripting language like Python or a command-line tool like cURL to automate the process.
Step 4: Transform and Clean Exported Data
Once you have the exported data, transform it into a format that ClickHouse can ingest, such as CSV or TSV. Clean the data to ensure consistency and remove any unnecessary fields. Consider using data processing libraries like Pandas in Python to facilitate this transformation.
Step 5: Prepare ClickHouse for Data Ingestion
Before loading data into ClickHouse, ensure you have a database and table structure ready to accommodate the Braze data. Define the schema based on the transformed data structure. Use ClickHouse's DDL statements to create the necessary tables.
Step 6: Load Data into ClickHouse
Load the transformed data into ClickHouse using the command-line ClickHouse client or HTTP interface. For large datasets, consider using the `INSERT INTO` command with data streaming to handle the load efficiently. Monitor the process to ensure data integrity during the transfer.
Step 7: Verify and Validate Data Integrity
After the data is loaded into ClickHouse, perform validation checks to ensure all data has been accurately transferred. Compare record counts and key data points between your source data and ClickHouse. Run queries to ensure the data is structured and accessible as expected.
By following these steps, you can manually transfer data from Braze to ClickHouse without relying on third-party connectors or integrations. Adjust and repeat the process regularly to accommodate ongoing data updates.