How to load data from Klaviyo to S3 Glue

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

Try Airbyte CloudManual method (the hard way)

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
Bespoke pipelines are:
  • Inconsistent and inaccurate data
  • Laborious and expensive
  • Brittle and inflexible
Furthermore, you will need to build and maintain Y x Z pipelines with Y sources and Z destinations to cover all your needs.
After Airbyte
Airbyte connections are:
  • Reliable and accurate
  • Extensible and scalable for all your needs
  • Deployed and governed your way
All your pipelines in minutes, however custom they are, thanks to Airbyte’s connector marketplace and AI Connector Builder.

Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Klaviyo connector in Airbyte

Connect to or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up S3 Glue for your extracted Klaviyo data

Select where you want to import data from your source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Klaviyo to S3 Glue in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.
Try Airbyte CloudManual method (the hard way)

Take a virtual tour

Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

Demo video of Airbyte Cloud

Demo video of AI Connector Builder

Talk to our team

Setup Complexities simplified!

You don’t need to put hours into figuring out how to use Airbyte to achieve your Data Engineering goals.

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.

Try Airbyte CloudManual method (the hard way)

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

Tech Lead at Symend

Predictable, straightforward pricing model that simplified budgeting and significantly reduced overall spend

Learn more
Chase Zieman headshot

Chase Zieman

Chief Data Officer

“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.”

Learn more

Rupak Patel

Operational Intelligence Manager

"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."

Learn more

How to Sync to Manually

Step 1: Export Data from Klaviyo

To begin, you need to export the data from Klaviyo. Log in to your Klaviyo account and navigate to the data you wish to export. Use Klaviyo's built-in export functionality to download the data in a CSV format. Ensure that the export covers all necessary fields for your analysis or storage needs.

Once exported, save the CSV files to your local machine. Choose a directory that is easily accessible for uploading to AWS. Verify the integrity of the files to ensure that all data has been exported correctly and is readable.

Log into your AWS Management Console and navigate to S3. Create a new S3 bucket or choose an existing one where you want to store the Klaviyo data. Ensure the bucket has appropriate permissions for uploading and accessing the data, using access policies if necessary.

Use the S3 console, AWS CLI, or SDKs to upload your CSV files from your local machine to the S3 bucket. If using AWS CLI, the command will look something like `aws s3 cp /local/path/to/file.csv s3://your-bucket-name/`, ensuring the file lands in the correct bucket and path.

In the AWS Management Console, go to AWS Glue and create a new crawler. Configure the crawler to point to the S3 bucket where your CSV data is stored. Define the IAM role with the necessary permissions for Glue to access your S3 data. Run the crawler to catalog the data in the Glue Data Catalog.

Once the data is cataloged, create a new Glue ETL job. In the Glue Console, select the source from the Glue Data Catalog that was created by the crawler. Define your data transformations if needed, and set the target as another S3 bucket or a different path in the same bucket. Choose the job script type (Python or Scala) and define any necessary ETL transformations.

Execute the Glue ETL job. Monitor the job execution in the Glue Console to ensure it completes successfully. Check the target S3 location to confirm that the transformed data is correctly written. Review any logs or errors in CloudWatch if the job does not execute as expected.

By following these steps, you can effectively move data from Klaviyo to Amazon S3 using AWS Glue without relying on third-party connectors or integrations.