How to load data from MySQL to S3 Glue

Learn how to use Airbyte to synchronize your MySQL data into S3 Glue within minutes.

Try Airbyte Cloud Free Deploy Airbyte Open Source

How Airbyte Works

About the source and destination

MySQL

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.

S3 Glue

S3 Glue is a server less, salable data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning, and application development. It provides all the capabilities required for data integration, so you can get insights and put your data to use in minutes instead of months. With S3 Glue, there is no infrastructure to set up or manage. You can pay only for the resources consumed while your jobs are continuing.

Old Automated Content

TL;DR

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:

set up MySQL as a source connector (using Auth, or usually an API key)
set up S3 Glue as a destination connector
define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is MySQL

What is S3 Glue

Integrate MySQL with S3 Glue in minutes

Try for free now

Prerequisites

A MySQL account to transfer your customer data automatically from.
A S3 Glue account.
An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including MySQL and S3 Glue, for seamless data migration.

When using Airbyte to move data from MySQL to S3 Glue, it extracts data from MySQL using the source connector, converts it into a format S3 Glue can ingest using the provided schema, and then loads it into S3 Glue via the destination connector. This allows businesses to leverage their MySQL data for advanced analytics and insights within S3 Glue, simplifying the ETL process and saving significant time and resources.

Step 1: Set up MySQL as a source connector

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.

Step 2: Set up S3 Glue as a destination connector

1. Log in to your Airbyte account and navigate to the "Destinations" tab.
2. Click on "Add Destination" and select "S3 Glue" from the list of available connectors.
3. Enter your AWS access key ID and secret access key in the appropriate fields.
4. Select the AWS region where you want to store your data.
5. Enter the name of the S3 bucket where you want to store your data.
6. Choose the format in which you want to store your data (e.g. CSV, JSON, Parquet).
7. Enter the prefix for your data files (e.g. "mydata/").
8. Choose whether you want to compress your data files (e.g. Gzip).
9. Click on "Test Connection" to ensure that Airbyte can connect to your S3 Glue destination.
10. If the connection is successful, click on "Save" to save your S3 Glue destination configuration.

Step 3: Set up a connection to sync your MySQL data to S3 Glue

Once you've successfully connected MySQL as a data source and S3 Glue as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select MySQL from the dropdown list of your configured sources.
Select your destination: Choose S3 Glue from the dropdown list of your configured destinations.
Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
Select the data to sync: Choose the specific MySQL objects you want to import data from towards S3 Glue. You can sync all data or select specific tables and fields.
Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from MySQL to S3 Glue according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your S3 Glue data warehouse is always up-to-date with your MySQL data.

Use Cases to transfer your MySQL data to S3 Glue

Integrating data from MySQL to S3 Glue provides several benefits. Here are a few use cases:

Advanced Analytics: S3 Glue’s powerful data processing capabilities enable you to perform complex queries and data analysis on your MySQL data, extracting insights that wouldn't be possible within MySQL alone.
Data Consolidation: If you're using multiple other sources along with MySQL, syncing to S3 Glue allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
Historical Data Analysis: MySQL has limits on historical data. Syncing data to S3 Glue allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: S3 Glue provides robust data security features. Syncing MySQL data to S3 Glue ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: S3 Glue can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding MySQL data.
Data Science and Machine Learning: By having MySQL data in S3 Glue, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While MySQL provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to S3 Glue, providing more advanced business intelligence options. If you have a MySQL table that needs to be converted to a S3 Glue table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

Configure a MySQL account as an Airbyte data source connector.
Configure S3 Glue as a data destination connector.
Create an Airbyte data pipeline that will automatically be moving data directly from MySQL to S3 Glue after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

Easily address your data movement needs with Airbyte Cloud

Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team.

Get started with Airbyte for free

Talk to a data infrastructure expert

Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure.

Talk to sales

Improve your data infrastructure knowledge

Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.

Subscribe to newsletter

Sync with Airbyte

Step 1:

Step 2:

Step 3:

Step 4:

Step 5:

Step 6:

Step 7:

Step 8:

Sync Manually

Step 1:

Step 2:

Step 3:

Step 4:

Step 5:

Step 6:

Step 7:

Step 8:

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 supports both incremental and full refreshes, for databases of any size.

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 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.

Back to all tutorials

Warehouses and Lakes

Databases

How to load data from MySQL to S3 Glue

Learn how to use Airbyte to synchronize your MySQL data into S3 Glue within minutes.

Try Airbyte Cloud free

Deploy Airbyte Open Source

Step 2: Setup S3 Glue

Step 3: Setup a connection Use Cases Wrapping Up

Example H2

Example H3

Sync data between MySQL and S3 Glue

Get your data syncing in minutes

Try Airbyte free

TL;DR

set up MySQL as a source connector (using Auth, or usually an API key)
set up S3 Glue as a destination connector
define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is MySQL

What is S3 Glue

Integrate MySQL with S3 Glue in minutes

Try for free now

Prerequisites

A MySQL account to transfer your customer data automatically from.
A S3 Glue account.
An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.