How to load data from Confluence to TiDB
Learn how to use Airbyte to synchronize your Confluence 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
- 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 Data from Confluence
Begin by exporting the required data from Confluence. Navigate to the space or page you want to export. Use the built-in export functionality to save the data in a compatible format such as XML, CSV, or JSON. This can typically be done via the 'Space Settings' under 'Content Tools' where you can choose the export format.
Step 2: Prepare the Exported Data
Once you have exported the data, you may need to prepare it for import into TiDB. This involves cleaning the data, ensuring there are no duplicate entries, and converting it into a CSV or SQL file if needed. This step is crucial to avoid errors during the import process.
Step 3: Set Up TiDB Cluster
If you haven't already, set up a TiDB cluster. You can do this using TiDB's Ansible deployment method or TiUP for a more straightforward setup. Ensure your TiDB cluster is running and accessible. Verify connectivity by logging into the TiDB server using a MySQL client.
Step 4: Create a Database and Tables in TiDB
Access your TiDB environment using a MySQL-compatible client and create a new database to store the imported data. Define the tables and their schemas based on the structure of the data exported from Confluence. Use `CREATE DATABASE` and `CREATE TABLE` SQL statements.
Step 5: Transform Data to SQL Statements
Convert the prepared data into SQL `INSERT` statements. If your data is in CSV format, you can write a script in a language like Python to read the CSV file and generate the corresponding SQL commands. Ensure the data types in your SQL match those defined in your TiDB tables.
Step 6: Import Data into TiDB
Execute the generated SQL statements to import the data into TiDB. This can be done by running the SQL commands directly in the TiDB MySQL client or using a script to automate the execution. Be sure to handle any errors that may arise during this process.
Step 7: Verify and Validate Data Transfer
After the data import, verify that the data in TiDB is accurate and complete. Perform checks by querying the database to ensure all records have been transferred correctly. You can compare row counts and sample data between your original Confluence data and the TiDB database to confirm successful migration.
By following these steps, you can effectively move data from Confluence to TiDB without relying on third-party connectors or integrations.