Data replication

Sync MySQL data anywhere.

MySQL is an SQL (Structured Query Language)-based open-source database management system. An application with many uses, it offers a variety of products, from free MySQL downloads of the most recent iteration to support packages with full service support at the enterprise level. The MySQL server, while most often used as a web database, also supports e-commerce and data warehousing applications and more.

  • Certified
  • Alpha
MySQL

Everything MySQL can do in Airbyte

  • Sync to your warehouse

    Land MySQL data in 50+ destinations on a schedule you control.

  • One authorization

    Authenticate MySQL once and Airbyte keeps every scheduled sync running on it.

  • Cloud or self-hosted

    Run the MySQL connector on Cloud, Self-Managed Enterprise.

What to know before you sync MySQL

  • Support levelCertified
  • Available onCloud, Self-Managed Enterprise
  • Connector version3.53.3
  • Release stageAlpha

Sync capabilities

  • Destinations50+ Airbyte connectors

Set up in 9 steps

  1. Open the Airbyte UI and navigate to the "Sources" tab.
  2. Click on the "Add Source" button and select "MySQL" from the list of available sources.
  3. Enter a name for your MySQL source and click on the "Next" button.
  4. Enter the necessary credentials for your MySQL database, including the host, port, username, and password.
  5. Select the database you want to connect to from the drop-down menu.
  6. Choose the tables you want to replicate data from by selecting them from the list.
  7. Click on the "Test" button to ensure that the connection is successful.
  8. If the test is successful, click on the "Create" button to save your MySQL source configuration.
  9. You can now use your MySQL connector to replicate data from your MySQL database to your destination of choice.

Authenticate MySQL once

  • Password

    The password associated with the username.

Common questions

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ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

MySQL provides access to a wide range of data types, including:

1. Numeric data types: These include integers, decimals, and floating-point numbers.

2. String data types: These include character strings, binary strings, and text strings.

3. Date and time data types: These include date, time, datetime, and timestamp.

4. Boolean data types: These include true/false or yes/no values.

5. Spatial data types: These include points, lines, polygons, and other geometric shapes.

6. Large object data types: These include binary large objects (BLOBs) and character large objects (CLOBs).

7. Collection data types: These include arrays, sets, and maps.

8. User-defined data types: These are custom data types created by the user.

Overall, MySQL's API provides access to a wide range of data types, making it a versatile tool for managing and manipulating data in a variety of applications.

1. Open the Airbyte UI and navigate to the "Sources" tab.

2. Click on the "Add Source" button and select "MySQL" from the list of available sources.

3. Enter a name for your MySQL source and click on the "Next" button.

4. Enter the necessary credentials for your MySQL database, including the host, port, username, and password.

5. Select the database you want to connect to from the drop-down menu.

6. Choose the tables you want to replicate data from by selecting them from the list.

7. Click on the "Test" button to ensure that the connection is successful.

8. If the test is successful, click on the "Create" button to save your MySQL source configuration.

9. You can now use your MySQL connector to replicate data from your MySQL database to your destination of choice.

The most prominent ETL tools to transfer data to include: Airbyte, Fivetran, StitchData, Matillion, Talend Data Integration. These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into and other databases, data warehouses and data lakes, enhancing data management capabilities.

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

Start moving MySQL data today

Free for 14 days on Airbyte Cloud. Set up the MySQL connector once and let Airbyte keep it in sync.