How to load data from IBM Db2 to TiDB

Learn how to use Airbyte to synchronize your IBM Db2 data into TiDB 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 TiDB 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 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.
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 the Source Database (IBM Db2)

Begin by ensuring your IBM Db2 database is in a stable state by backing up your data. Check for any locks or ongoing transactions that might interfere with the data export. Note the schema structure, data types, and any constraints in your Db2 database that will need to be replicated in TiDB.

Use the Db2 export utility to extract data. You can use the `EXPORT` command to generate delimited files (such as CSV) for each table. This can be done using a command like:
```sql
EXPORT TO 'data.csv' OF DEL SELECT FROM your_table;
```
Ensure that the data types are correctly exported and any special characters are handled properly.

Set up your TiDB environment, ensuring it is properly configured and running. Create the necessary databases and tables in TiDB that match the structure of your Db2 tables. Use TiDB's SQL interface to create tables, ensuring data types and constraints are compatible with TiDB's capabilities.

If necessary, transform the exported data to align with TiDB’s requirements. This might include converting data types, adjusting date formats, or cleaning up any anomalies in the dataset. Use scripting languages like Python or shell scripts to automate this process.

Use TiDB's `LOAD DATA` command to import the cleaned and transformed data into the respective tables. For example:
```sql
LOAD DATA LOCAL INFILE 'data.csv' INTO TABLE your_table FIELDS TERMINATED BY ',' LINES TERMINATED BY '\n';
```
Ensure the data is loaded correctly by checking for any errors or warnings during the import process.

Perform thorough data integrity checks to ensure all data has been accurately transferred. This includes verifying row counts, checking for data corruption, and ensuring constraints like primary keys and foreign keys are intact. Write queries to compare record counts and sample records between Db2 and TiDB.

Once data transfer is complete and verified, optimize your TiDB database for performance. This includes updating statistics, analyzing tables, and configuring indexes to improve query performance. Use TiDB's built-in tools and commands to ensure optimal performance for your specific workload.

By following these steps, you can effectively migrate data from IBM Db2 to TiDB without relying on third-party connectors or integrations.