How to load data from Metabase to Clickhouse

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

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Building in-house pipelines

Bespoke pipelines are:
  • Inconsistent and inaccurate data
  • Laborious and expensive
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Furthermore, you will need to build and maintain Y x Z pipelines with Y sources and Z destinations to cover all your needs.

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Metabase 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 Metabase 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 Metabase 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.

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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.

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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

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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.”

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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."

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How to Sync to Manually

Step 1: Export Data from Metabase

Begin by exporting the data you need from Metabase. In Metabase, navigate to the question or dashboard with the desired data and use the export options available (CSV/Excel) to download the dataset to your local machine.

Step 2: Prepare Data for ClickHouse

Open the exported file and ensure that the format and structure are ready for ClickHouse. Check for any data cleaning needs, such as removing unnecessary columns or correcting formats, to ensure compatibility.

Step 3: Install ClickHouse Client

If not already installed, download and install the ClickHouse client on your local machine. This will allow you to execute SQL commands and interact directly with your ClickHouse database.

Step 4: Create ClickHouse Database and Table

Using the ClickHouse client, connect to your ClickHouse server and create a new database (if needed) and a table to store the imported data. Define the table schema to match the structure of your exported Metabase data.

Example SQL to create a table:
```sql
CREATE TABLE my_database.my_table (
column1 DataType1,
column2 DataType2,
...
) ENGINE = MergeTree()
ORDER BY column1;
```

Step 5: Convert CSV to ClickHouse Format

If necessary, convert your CSV file into a format suitable for ClickHouse. Ensure that your CSV file uses the appropriate delimiter and that all data types match the table schema you created in ClickHouse.

Step 6: Import Data into ClickHouse

Use the `clickhouse-client` command-line interface to import the CSV file into your ClickHouse table. This can be done using the `--query` flag with an appropriate `INSERT INTO` or `LOAD DATA` command.

Example command:
```bash
clickhouse-client --query="INSERT INTO my_database.my_table FORMAT CSV" < /path/to/your/file.csv
```

Step 7: Verify Data Import

After importing, verify that the data has been successfully moved to ClickHouse. Run a few SELECT queries to ensure that all records are present and correctly formatted, checking for any discrepancies or errors.

Example SQL to verify:
```sql
SELECT FROM my_database.my_table LIMIT 10;
```

By following these steps, you can effectively move data from Metabase to ClickHouse without relying on any third-party connectors or integrations.