How to load data from Vantage to Clickhouse

Learn how to use Airbyte to synchronize your Vantage data into Clickhouse within minutes.

Try Airbyte Cloud Manual 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 Vantage 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 Vantage 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 Vantage 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.

Try Airbyte Cloud Manual 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 Cloud Manual 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

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: Assess Data Volume and Schema

Begin by evaluating the size and complexity of the data you need to transfer. Examine the schema in Vantage, noting down the tables, columns, data types, and any constraints. This will help you plan the data export and importing process effectively.

Step 2: Export Data from Vantage to CSV

Use SQL to export the data from Vantage tables into CSV files. You can execute the `EXPORT` command in Vantage SQL Assistant or Teradata SQL to write data to CSV. Ensure that you include the `TEXT` option to handle delimiters properly and manage large datasets by exporting them in chunks if necessary.

Step 3: Transfer CSV Files to ClickHouse Server

Use a secure file transfer method to copy the CSV files to the server where ClickHouse is hosted. You might use `scp`, `rsync`, or any other command-line file transfer utility to move your files securely. Ensure that you have adequate permissions and storage space on the ClickHouse server.

Step 4: Prepare the Schema in ClickHouse

Before importing data into ClickHouse, create the necessary tables to match the schema of your Vantage data. Use ClickHouse’s `CREATE TABLE` statement, considering the appropriate data types and structures, which might differ slightly from Vantage. Carefully map Vantage data types to ClickHouse equivalents.

Step 5: Load Data into ClickHouse from CSV

Utilize ClickHouse’s `INSERT INTO ... FORMAT CSV` command to load data from CSV files into the respective tables. Make sure to specify the correct field delimiters and handle potential issues such as escaping characters or NULL values. You can use ClickHouse's command-line client for this task.

Step 6: Verify Data Integrity

After loading the data, perform checks to ensure data integrity. This involves running queries to count the number of records, verify checksums, or compare sample data between Vantage and ClickHouse. This step is crucial to confirm that the data has been transferred accurately and completely.

Step 7: Optimize ClickHouse Tables

Once the data is verified, optimize the ClickHouse tables for performance. This might include adding indexes, merging parts (using `OPTIMIZE TABLE` command), or adjusting settings like compression. This ensures that your ClickHouse warehouse is ready for efficient query execution and data retrieval.

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