How to load data from IBM Db2 to Clickhouse

Learn how to use Airbyte to synchronize your IBM Db2 data into Clickhouse within minutes.

Try Airbyte CloudManual method (the hard way)

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 IBM Db2 connector in Airbyte

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

Set up Clickhouse for your extracted IBM Db2 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 IBM Db2 to Clickhouse 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.
Try Airbyte CloudManual method (the hard way)

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

Talk to our team

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.

Try Airbyte CloudManual method (the hard way)

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: Prepare Your DB2 Environment

Begin by ensuring you have the necessary permissions to access and export data from your IBM DB2 database. You'll need user credentials with read access to the data you wish to transfer. Verify that the DB2 Command Line Processor (CLP) is installed and properly configured on your system to interact with the DB2 database.

Use the DB2 EXPORT command to extract data from the database into a CSV file. Run the following command in the DB2 CLP:
```
db2 "EXPORT TO /path/to/yourfile.csv OF DEL MODIFIED BY NOCHARDEL SELECT * FROM your_table_name"
```
This command exports data from the specified table into a CSV file. Adjust the SELECT statement to extract specific columns or apply filters as required.

Open the exported CSV file to ensure that the data has been correctly extracted from DB2. Check for consistency and completeness, ensuring that all columns and rows are appropriately formatted and that no data is missing or corrupted.

Make sure ClickHouse is installed and running on your server. Create the necessary database and table structures in ClickHouse that match the schema of your DB2 data. You can use the ClickHouse client to execute SQL commands for database and table creation.

Adjust the CSV file if necessary to ensure compatibility with ClickHouse requirements. Ensure that the CSV uses the correct delimiters and that data types are compatible. ClickHouse typically expects UTF-8 encoding, so convert your CSV file accordingly if it�s not already in this format.

Use the ClickHouse client to import the CSV data into your ClickHouse table. Execute a command similar to the following:
```
clickhouse-client --query="INSERT INTO your_clickhouse_table FORMAT CSV" < /path/to/yourfile.csv
```
This command reads the CSV file and inserts the data directly into the specified ClickHouse table.

After the import process, perform data validation to ensure the transfer was successful. Run queries on ClickHouse to compare row counts and sample data against the original DB2 dataset. Verify that the data types and values are consistent with expectations.

By following these steps, you can effectively transfer data from IBM DB2 to ClickHouse without relying on third-party connectors or integrations, ensuring a seamless and controlled data migration process.