How to load data from My Hours to MySQL Destination
Learn how to use Airbyte to synchronize your My Hours data into MySQL Destination 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: Understand My Hours Data Export Options
Begin by accessing your My Hours account. Navigate to the section where you can export data. Typically, My Hours allows you to export data in formats such as CSV or Excel. Ensure you understand the available options and decide on the export format that suits your needs.
Step 2: Export Data from My Hours
Once you've chosen the export format, proceed to export the data from My Hours. Download the data file to your local machine. Ensure the data is complete and accurate by opening the file and verifying its contents.
Step 3: Prepare the MySQL Environment
Set up your MySQL database if it's not already configured. This involves installing MySQL on your server or local machine and creating a database where you will import the My Hours data. Use the MySQL command line or a graphical interface like MySQL Workbench to perform these tasks.
Step 4: Create Tables in MySQL
Analyze the structure of the exported My Hours data file. Based on this structure, create corresponding tables in your MySQL database. Use appropriate data types for each column, keeping in mind any constraints such as primary keys or unique indexes.
Step 5: Transform Data if Necessary
Depending on the format of the exported file and the structure of your MySQL tables, you might need to transform the data. This could involve cleaning up the data, changing date formats, or modifying column names. Use a programming language like Python or scripts to automate this process if required.
Step 6: Load Data into MySQL
Use MySQL's built-in tools to import the data into your database. For CSV files, you can use the `LOAD DATA INFILE` command or the MySQL Workbench's import feature. Make sure to handle any potential errors, such as duplicate entries or data type mismatches, during the import.
Step 7: Verify Data Integrity and Accuracy
After importing, verify that the data in MySQL matches the original data from My Hours. Run queries to check for completeness and accuracy. Compare row counts and perform spot checks on data values to confirm integrity. If discrepancies are found, troubleshoot by reviewing the transformation and import steps.
By following these steps, you can effectively move data from My Hours to a MySQL database without relying on third-party connectors or integrations.