How to load data from GoCardless to Clickhouse
Learn how to use Airbyte to synchronize your GoCardless 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 GoCardless API
Before extracting data, familiarize yourself with the GoCardless API. GoCardless provides comprehensive API documentation that includes details on how to authenticate requests and the endpoints available for data retrieval, such as payments, customers, and mandates.
Step 2: Set Up API Authentication
To access the GoCardless API, you need to authenticate your requests. Obtain your API key from the GoCardless dashboard. Use this API key to authenticate your requests by including it in the HTTP header as a bearer token. This will grant you access to fetch data programmatically.
Step 3: Extract Data from GoCardless
Using a programming language like Python, write a script to send HTTP GET requests to the GoCardless API endpoints of interest. Parse the JSON responses to structure the data appropriately. Save the extracted data into a format suitable for processing, such as CSV or JSON files, on your local machine.
Step 4: Prepare ClickHouse Database
Set up your ClickHouse database if it's not already done. Create necessary tables to match the structure of the data you extracted from GoCardless. Use ClickHouse"s SQL-like query language to define tables and data types that match the structure of your extracted data.
Step 5: Transform Data for ClickHouse Compatibility
Ensure that the data format you extracted from GoCardless is compatible with ClickHouse. This involves converting data types (e.g., dates and timestamps) and ensuring data integrity and consistency. Use scripts or tools to reformat the data if necessary, aligning with ClickHouse"s data handling.
Step 6: Load Data into ClickHouse
Use ClickHouse"s native client or a command-line tool to load data into your ClickHouse tables. For example, you can use the `clickhouse-client` command-line tool to execute `INSERT` queries or use bulk loading commands like `cat data.csv | clickhouse-client --query="INSERT INTO table_name FORMAT CSV"` to insert data efficiently.
Step 7: Verify Data Integrity and Consistency
After loading the data, run queries in ClickHouse to verify that the data has been imported correctly. Check for any discrepancies or errors in data types, missing records, or inconsistent data. Perform data validation checks to ensure the integrity and accuracy of the data in your warehouse.
By following these steps, you can manually transfer data from GoCardless to ClickHouse without relying on third-party connectors or integrations, ensuring control over the data handling process.