How to load data from Klaviyo to S3 Glue
Learn how to use Airbyte to synchronize your Klaviyo 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: 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.
Step 2: Store Data Locally
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.
Step 3: Set Up an AWS S3 Bucket
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.
Step 4: Upload CSV Files to S3
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.
Step 5: Set Up AWS Glue Crawler
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.
Step 6: Create an AWS Glue ETL Job
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.
Step 7: Run and Monitor the Glue Job
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.