How to load data from Ashby to Clickhouse
Learn how to use Airbyte to synchronize your Ashby 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: Export Data from Ashby
Begin by exporting the data you need from Ashby. This could involve using built-in export features if available, such as CSV or JSON exports. Ensure you have the necessary permissions to access and export data from Ashby, and decide on the format that best suits your needs for transfer and import into ClickHouse.
Step 2: Prepare Data Files
Once you have exported the data, prepare it for import into ClickHouse. This involves cleaning and structuring the data files to ensure they are consistent and correctly formatted. Check for any discrepancies, duplicate entries, or missing values that need to be addressed. Maintain a backup of the raw export data for reference or reprocessing if necessary.
Step 3: Set Up ClickHouse Environment
Before importing data, ensure your ClickHouse instance is properly set up. This involves creating the necessary databases and tables that match the structure of your data. Use ClickHouse's DDL (Data Definition Language) to create tables with the appropriate column types and settings that align with your data structure.
Step 4: Transfer Data Files to ClickHouse Server
Transfer the prepared data files to the server where your ClickHouse instance is running. You can use secure file transfer methods like SCP (Secure Copy Protocol) or SFTP (SSH File Transfer Protocol) to move files from your local system to the ClickHouse server. Ensure the server has enough storage to accommodate the data files.
Step 5: Use ClickHouse's Command-Line Tools
Utilize ClickHouse's command-line tools to import the data into your ClickHouse database. Tools like `clickhouse-client` allow you to execute SQL queries directly from the command line. Use the `INSERT INTO` statement or the `clickhouse-client --query` option with the appropriate format (CSV, JSON, etc.) to load data into your tables.
Step 6: Verify Data Integrity
After importing the data, verify its integrity by running queries to check for completeness and accuracy. Compare the imported data with the original data from Ashby to ensure consistency. Check for any discrepancies or errors, and re-import data if necessary. This step helps in confirming that the data transfer was successful and accurate.
Step 7: Optimize and Index Data
Once the data is successfully imported and verified, optimize your ClickHouse tables for performance. This may involve adding indexes, optimizing table settings, and running `OPTIMIZE TABLE` commands to improve query performance. Proper indexing and optimization help in making the data retrieval process faster and more efficient.
By following these steps, you can successfully move data from Ashby to ClickHouse without relying on third-party connectors or integrations, ensuring a smooth and controlled data transfer process.