How to load data from ConfigCat to Clickhouse
Learn how to use Airbyte to synchronize your ConfigCat 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
- 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: Access ConfigCat Data
Begin by logging into your ConfigCat account. Navigate to the feature flags or settings that contain the data you need to transfer. Use the ConfigCat API to fetch the data you need. You can do this by making HTTP GET requests to the appropriate endpoints. Ensure you have the necessary API keys and permissions to access the data.
Step 2: Extract Data Using API Requests
Use a scripting language like Python or a command-line tool like `curl` to automate the process of sending API requests to ConfigCat. Collect the responses, which are typically in JSON format. Write a script to handle pagination if the dataset is large to ensure you retrieve all necessary data.
Step 3: Transform JSON to CSV
Once you have your data in JSON format, transform it into a CSV format that can be easily ingested by ClickHouse. You can use a Python script to parse the JSON and write the data to a CSV file. This involves mapping JSON keys to CSV columns and ensuring data consistency.
Step 4: Prepare ClickHouse for Data Ingestion
Ensure your ClickHouse instance is running and accessible. Create a table schema in ClickHouse that matches the structure of your CSV data. Use the `CREATE TABLE` SQL command to define the table with appropriate data types for each column.
Step 5: Transfer CSV to ClickHouse Server
Transfer the CSV file to the server where ClickHouse is running. This can be done using secure copy protocols like SCP or SFTP. Ensure the file is placed in a directory accessible by ClickHouse with the correct read permissions.
Step 6: Load Data into ClickHouse
Use the ClickHouse `INSERT INTO ... FROM INFILE` command to load the CSV data into your ClickHouse table. Specify the path to your CSV file and ensure your ClickHouse configuration allows for file-based data ingestion. Monitor the process for any errors or data inconsistencies.
Step 7: Verify Data Integrity
After loading the data, perform checks to ensure the data in ClickHouse matches the data from ConfigCat. Run SQL queries to count records, check for nulls or unexpected values, and compare these against your original dataset. Make adjustments as necessary and document any discrepancies for future reference.
By following these steps, you can manually transfer data from ConfigCat to ClickHouse without relying on third-party connectors or integrations, ensuring a controlled and secure data migration process.