How to load data from Klaviyo to Redshift

Learn how to use Airbyte to synchronize your Klaviyo data into Redshift 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 Redshift 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 Redshift 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

Begin by exporting the desired data from Klaviyo. Navigate to the "Analytics" section within your Klaviyo account. Select the specific reports or data sets you wish to export. Typically, you can export data in CSV format, which is widely supported for data manipulation.

Once you have exported the data as CSV files, examine them to ensure they contain all necessary fields and are properly formatted. Check for any special characters or discrepancies that might cause issues during the import process. Clean and transform the data as needed using a tool like Excel or a programming language such as Python.

Log into your AWS Management Console and create a new S3 bucket where you will temporarily store the CSV files. This bucket will serve as an intermediary storage location between Klaviyo and Redshift. Ensure that the bucket is in the same region as your Redshift cluster for optimal performance.

Upload the prepared CSV files to your newly created S3 bucket. You can do this directly through the AWS Management Console, or you can use the AWS CLI for more automated and repeatable processes. Make note of the S3 URI for each file, as you'll need this information for loading data into Redshift.

Ensure that your Amazon Redshift cluster is properly set up to receive data. This involves creating the required database and tables that match the structure of your CSV files. Use SQL queries to define the schema, including data types and any constraints or indexes necessary for your data.

Use the Redshift COPY command to load data from the S3 bucket into your Redshift tables. This command is issued through a SQL client connected to your Redshift cluster. The basic syntax includes specifying the S3 path, authentication details, and any format options (such as CSV). For example:
```sql
COPY my_table
FROM 's3://my-bucket/my-file.csv'
CREDENTIALS 'aws_access_key_id=;aws_secret_access_key='
CSV;
```

After the data has been loaded, perform a series of checks to ensure that the data migration was successful. Run SQL queries to verify that the data in Redshift matches the original data from Klaviyo in terms of record count, integrity, and accuracy. Address any discrepancies by reviewing the transformation and load steps.

By following these steps, you can successfully move data from Klaviyo to Redshift without relying on third-party connectors.