How to load data from Clockify to TiDB
Learn how to use Airbyte to synchronize your Clockify 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 Clockify
Start by logging into your Clockify account. Navigate to the Reports section, and select the data you wish to export. Typically, you can export data in CSV or Excel format. Choose the desired format and download the file to your local machine.
Step 2: Prepare the Exported Data
Open the downloaded file using a spreadsheet application or a text editor. Inspect the data to ensure it includes all necessary fields and is correctly formatted. Clean up any inconsistencies, such as missing headers or malformed entries, to ensure smooth import into TiDB.
Step 3: Set Up Your TiDB Environment
If you haven't already, set up a TiDB instance. This can be done either locally or on a cloud provider. Follow the official TiDB documentation to install and configure your environment. Ensure that you have access credentials and the necessary permissions to create databases and tables.
Step 4: Create the Required Tables in TiDB
Based on the structure of your Clockify data, create tables in TiDB to accommodate the data. Use the TiDB SQL interface to define tables with appropriate column names and data types. For example, if you have columns for project names, durations, and timestamps, ensure these are represented in your TiDB schema.
Step 5: Transform Data to SQL Insert Statements
Convert your cleaned CSV or Excel data into SQL INSERT statements. This can be done manually or by writing a simple script in a language like Python. Each row from your file should correspond to an INSERT statement that matches the structure of your TiDB tables.
Step 6: Import Data into TiDB
Execute the SQL INSERT statements on your TiDB instance. You can do this using a command-line tool like `mysql` which is compatible with TiDB, or through a SQL client interface. Ensure you execute these commands in the correct order, respecting any relational constraints.
Step 7: Verify Data Integrity
After importing, verify the integrity of your data. Run SELECT queries to ensure all records from Clockify have been successfully imported into TiDB. Check for any discrepancies and correct them as needed. This step ensures that the migration process was successful and the data is ready for use in TiDB.
By following these steps, you can efficiently migrate data from Clockify to TiDB without relying on third-party tools or integrations.