How to load data from ClickHouse to TiDB

Learn how to use Airbyte to synchronize your ClickHouse data into TiDB 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

Bespoke pipelines are:
  • Inconsistent and inaccurate data
  • Laborious and expensive
  • Brittle and inflexible
Furthermore, you will need to build and maintain Y x Z pipelines with Y sources and Z destinations to cover all your needs.

After Airbyte

Airbyte connections are:
  • Reliable and accurate
  • Extensible and scalable for all your needs
  • Deployed and governed your way
All your pipelines in minutes, however custom they are, thanks to Airbyte’s connector marketplace and AI Connector Builder.

Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a ClickHouse connector in Airbyte

Connect to or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up TiDB for your extracted ClickHouse data

Select where you want to import data from your source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the ClickHouse to TiDB in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

Take a virtual tour

Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

Demo video of Airbyte Cloud

Demo video of AI Connector Builder

Setup Complexities simplified!

You don’t need to put hours into figuring out how to use Airbyte to achieve your Data Engineering goals.

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

Tech Lead at Symend

Predictable, straightforward pricing model that simplified budgeting and significantly reduced overall spend

Learn more
Chase Zieman headshot

Chase Zieman

Chief Data Officer

“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.”

Learn more

Rupak Patel

Operational Intelligence Manager

"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."

Learn more

How to Sync to Manually

Step 1: Export Data from ClickHouse

Begin by exporting the data you want to transfer from ClickHouse into a CSV (Comma-Separated Values) format. You can do this by using the `clickhouse-client` command-line tool. Run a query that selects the data you need and use the `FORMAT CSV` option to export it. For example:
```bash
clickhouse-client --query="SELECT FROM your_table" --format=CSV > data.csv
```

Step 2: Prepare TiDB for Data Import

Before importing data into TiDB, ensure that your target database and tables are properly set up to match the schema of the exported data. You may need to create tables in TiDB with columns corresponding to those in your ClickHouse data.

Step 3: Adjust CSV for Compatibility

Review the exported CSV file to ensure it is compatible with TiDB. Check for issues like special characters, date formats, or any other discrepancies that might cause problems during import. Make necessary adjustments to the CSV file to align with TiDB's expected data types and formats.

Step 4: Transfer CSV File to TiDB Server

Use a secure method to transfer the CSV file to the server where TiDB is running. This could be done via secure copy (SCP), FTP, or any other file transfer protocol you have access to. Ensure the file is placed in a directory accessible by the TiDB server.

Step 5: Use TiDB's LOAD DATA Command

Utilize TiDB's `LOAD DATA` command to import the data from the CSV file into the appropriate table. Execute the command in the TiDB client or from a script. For example:
```sql
LOAD DATA LOCAL INFILE 'path/to/data.csv' INTO TABLE your_table
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\n';
```

Step 6: Verify Data Integrity

After importing, verify that the data in TiDB matches the original data in ClickHouse. You can do this by running sample queries and checking record counts or using checksums. This step is crucial to ensure the data transfer was successful and accurate.

Step 7: Optimize and Clean Up

Once the data has been successfully imported and verified, optimize the TiDB tables if necessary by running maintenance commands like `ANALYZE TABLE`. Finally, clean up any temporary files or logs generated during the process to maintain a tidy environment.

By following these steps, you can effectively transfer data from ClickHouse to TiDB without relying on third-party tools.