How to load data from Omnisend to Clickhouse

Learn how to use Airbyte to synchronize your Omnisend data into Clickhouse 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

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 Omnisend connector in Airbyte

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

Set up Clickhouse for your extracted Omnisend 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 Omnisend to Clickhouse 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.

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

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.

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: Understand Omnisend Data Export Options

Start by familiarizing yourself with Omnisend's data export capabilities. Omnisend provides options to manually export data such as contacts, campaigns, and reports in formats like CSV or Excel. Access the export feature through Omnisend’s dashboard and determine which data sets you need for your ClickHouse warehouse.

Step 2: Export Data from Omnisend

Navigate to the specific section of Omnisend that contains the data you wish to export. Use the export function to download the data in a CSV format. Ensure you have all the necessary permissions to access and export the data. Save the exported CSV files to a secure location on your local machine.

Step 3: Prepare Your Data for ClickHouse

Review the CSV files to ensure the data is clean and properly formatted. Check for any inconsistencies, missing values, or errors. You may need to preprocess the data using a tool like Python or a spreadsheet application to ensure it matches the schema of your target ClickHouse database.

Step 4: Set Up ClickHouse Client

Install the ClickHouse client on your local machine if not already done. This can be achieved by downloading the ClickHouse client binary from ClickHouse's official website. The client will enable you to interact with your ClickHouse server and execute SQL commands to create tables and insert data.

Step 5: Create Tables in ClickHouse

Connect to your ClickHouse database using the ClickHouse client. Define and create the necessary tables in ClickHouse that correspond to the data structure from Omnisend. Use SQL commands to define table schemas, ensuring they match the format and types of your CSV data.

Step 6: Insert Data into ClickHouse

Use the `INSERT INTO` SQL command to load data from your CSV files into the ClickHouse tables. You can utilize command-line tools or scripts to streamline this process. For example, use the `clickhouse-client` to execute commands like:
```bash
clickhouse-client --query="INSERT INTO your_table FORMAT CSV" < your_file.csv
```
Ensure data types and formats are compatible between the CSV data and ClickHouse table schema.

Step 7: Verify Data Integrity

After loading data into ClickHouse, verify that the data has been transferred correctly. Run various queries to check for completeness and accuracy of the records. Compare a sample of the data between Omnisend exports and ClickHouse tables to ensure the migration was successful and accurate.

By following these steps, you can manually move data from Omnisend to your ClickHouse warehouse without relying on third-party connectors or integrations.