How to load data from AWS CloudTrail to MySQL Destination
Learn how to use Airbyte to synchronize your AWS CloudTrail 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: Enable AWS CloudTrail Logging
Firstly, ensure that AWS CloudTrail is enabled for your AWS account. CloudTrail records AWS account activity and stores the log files in an S3 bucket. Set up a trail that covers all regions and includes all management events to capture comprehensive audit logs.
Step 2: Configure an S3 Bucket for CloudTrail Logs
Create or specify an existing S3 bucket where CloudTrail will deliver its log files. Ensure that the bucket policy allows CloudTrail to write logs to it, and consider enabling versioning for better data management. Set up proper permissions to control access to the logs.
Step 3: Set Up AWS Lambda Function for Log Processing
Create an AWS Lambda function that will be triggered whenever a new log file is added to the S3 bucket. The Lambda function will extract relevant data from the CloudTrail logs. Use the AWS SDK within the Lambda function to read the log files, parse the necessary information, and format it for insertion into MySQL.
Step 4: Configure IAM Role with Necessary Permissions
Create an AWS Identity and Access Management (IAM) role with permissions to access the S3 bucket and execute the Lambda function. Attach this role to your Lambda function to ensure it can read CloudTrail logs and process them.
Step 5: Develop a Script to Insert Data into MySQL
Within your Lambda function, write a script using a language like Python or Node.js to connect to your MySQL database. Ensure your database is publicly accessible or within the same VPC as your Lambda function for connectivity. Use a MySQL client library to execute SQL INSERT statements, transferring extracted data into your MySQL tables.
Step 6: Secure MySQL Database Access
Configure a secure connection to your MySQL database. Use environment variables or AWS Secrets Manager to store sensitive database credentials securely. Ensure that your database's security group allows inbound connections from the Lambda execution environment's IP range or VPC.
Step 7: Test and Monitor the Data Transfer Process
Test the entire setup by manually adding a test log file to the S3 bucket and verifying that the data is correctly inserted into your MySQL database. Implement CloudWatch logs and alarms on your Lambda function to monitor execution and troubleshoot any errors in real-time. Regularly review log files and database entries to ensure consistent data transfer.
Following these steps will enable you to transfer AWS CloudTrail logs to a MySQL database using AWS native services and custom scripts, without relying on third-party connectors.