How to load data from Merge to TiDB
Learn how to use Airbyte to synchronize your Merge 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.
- Inconsistent and inaccurate data
- Laborious and expensive
- Brittle and inflexible
- 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
Move Large Volumes, Fast
An Extensible Open-Source Standard
Full Control & Security
Fully Featured & Integrated
Enterprise Support with SLAs
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
Begin by thoroughly understanding the data structure within your Merge database. Identify the tables, columns, data types, and any relationships or constraints. This foundational knowledge is crucial for mapping data correctly to TiDB.
Use SQL queries to extract the data from your Merge database. You can perform a full data dump or export specific tables depending on your needs. Save the exported data in a format compatible with TiDB, such as CSV or SQL dump files.
Set up your TiDB environment if it's not already configured. Ensure that TiDB is up and running, and that you have administrative access. Create a new database and corresponding tables in TiDB that mirror the structure of your Merge data.
Before importing, clean and transform your data to ensure it fits the schema of the TiDB database. This might involve data type conversions, removing duplicates, or handling null values. Use scripting languages like Python or shell scripts to automate this process.
Utilize TiDB's built-in tools to import the data. For CSV files, use `LOAD DATA` statements to read data directly into TiDB tables. For SQL dumps, execute the SQL scripts within TiDB to recreate tables and insert data.
After importing, perform checks to ensure data integrity and completeness. Run queries to compare row counts, check for data consistency, and validate relationships between tables. This step is critical to ensure that the data has been accurately migrated.
Finally, optimize your TiDB database for performance. Create necessary indexes, analyze slow queries, and adjust configurations like cache size or concurrency settings. This will ensure that your TiDB instance runs efficiently and can handle the desired workloads.
By following these steps, you can successfully migrate data from Merge to TiDB without relying on third-party connectors or integrations.