How to load data from Monday to S3 Glue
Learn how to use Airbyte to synchronize your Monday data into S3 Glue 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: Extract Data from Monday.com
To begin, manually export the data from Monday.com. Log into your Monday.com account and navigate to the board containing the data you wish to export. Use the export feature (usually found under board settings) to download the data in a CSV format. Save this file locally on your computer.
Step 2: Prepare Your AWS Environment
Ensure you have an AWS account. Navigate to the AWS Management Console and create an S3 bucket if you haven't already. This bucket will store your Monday.com data. Make sure to configure the necessary permissions and access policies to allow data upload and access.
Step 3: Upload Data to S3
Using the AWS Management Console, upload your exported CSV file to your S3 bucket. Navigate to the S3 service, select your bucket, and use the "Upload" button to add your CSV file. Confirm that the file is correctly uploaded and accessible.
Step 4: Set Up AWS Glue
Go to the AWS Glue console and set up a new Glue Crawler. This will help you catalog the data in your S3 bucket. Define a new data source pointing to your S3 bucket and configure the crawler to create a new database or use an existing one. Run the crawler to populate the Glue Data Catalog with your CSV data schema.
Step 5: Define Glue ETL Job
Once the data is cataloged, create a new ETL (Extract, Transform, Load) job in AWS Glue. Specify the data source (your S3 bucket and cataloged data) and define the target where you want the transformed data to be stored. You can use the Glue ETL script editor to modify the data if needed.
Step 6: Run the Glue ETL Job
Execute the Glue ETL job by selecting the job from the Glue console and choosing "Run Job." Monitor the job's progress through the console to ensure it completes successfully. Any errors or logs will be available for troubleshooting if needed.
Step 7: Verify Data in S3
Once the ETL job is complete, verify that the transformed data is stored correctly in the specified S3 bucket. Use the AWS S3 console to navigate to your bucket and check the contents. Ensure that the data is in the desired format and structure needed for your use case.
By following these steps, you can effectively transfer and transform your data from Monday.com to AWS S3 and Glue without relying on third-party connectors or integrations.