How to load data from Shopify to Clickhouse
Learn how to use Airbyte to synchronize your Shopify 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: Export Shopify Data
Begin by exporting the data you wish to transfer from Shopify. Log into your Shopify admin panel and navigate to the section containing the data you want (e.g., Products, Orders). Use Shopify's built-in export feature to download the data as a CSV file, which is a common and easily manageable format for data transfer.
Step 2: Prepare Data for ClickHouse
Once you've exported the CSV file from Shopify, review and clean the data to ensure consistency and correctness. Remove any unnecessary columns and ensure that the data types align with those expected by ClickHouse. It's important to ensure that the CSV file is well-formatted and free of errors that could cause issues during the import process.
Step 3: Set Up ClickHouse Environment
Ensure that your ClickHouse server is up and running. If you haven't already set up ClickHouse, you can install it on your server by following the official ClickHouse installation documentation. Once installed, access the ClickHouse client to prepare for data import.
Step 4: Create ClickHouse Table Schema
Before importing data, you need to create a table in ClickHouse that matches the structure of your Shopify data. Use ClickHouse's SQL-like syntax to define the table schema. This includes specifying column names, data types, and any necessary constraints. Ensure the schema aligns with the data structure of your CSV file.
Step 5: Transfer CSV File to ClickHouse Server
Use a secure file transfer method such as SCP (Secure Copy Protocol) or SFTP (SSH File Transfer Protocol) to transfer the CSV file from your local machine to the server where ClickHouse is hosted. This step ensures that the file is accessible to the ClickHouse client for data import.
Step 6: Import Data into ClickHouse
With the CSV file on your ClickHouse server and the table schema prepared, you can now import the data. Use the ClickHouse `INSERT INTO` command along with the `FORMAT CSV` option to load the data into the designated table. Ensure you specify the correct file path and handle any data type conversions or field delimiters as required.
Step 7: Verify Data Integrity and Consistency
After the import process is complete, it is crucial to verify that the data has been accurately transferred. Run queries to check the number of records, inspect sample data entries, and compare them with the original CSV file from Shopify. This step ensures that the data is consistent and that no errors occurred during the import process.
By following these steps, you can effectively move data from Shopify to ClickHouse without relying on third-party connectors or integrations.