How to load data from Ashby to TiDB

Learn how to use Airbyte to synchronize your Ashby data into TiDB 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 Ashby connector in Airbyte

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

Set up TiDB for your extracted Ashby 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 Ashby to TiDB 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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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.

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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

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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: Understand Data Schema in Ashby

Begin by thoroughly understanding the data schema in Ashby. Identify the tables, fields, data types, and relationships between tables. This understanding is crucial for planning the data extraction and transformation processes.

Step 2: Export Data from Ashby

Use Ashby's data export functionalities to extract data. Typically, this can be done via exporting tables to CSV or JSON formats. Ensure all necessary data is exported and verify data consistency and completeness.

Step 3: Prepare TiDB Environment

Set up your TiDB environment if not already done. Install TiDB and ensure it is running correctly. Create corresponding databases and tables in TiDB, matching the schema of your Ashby data. This might involve defining tables, data types, and constraints.

Step 4: Transform Data for Compatibility

Before loading data into TiDB, ensure the exported data is transformed to match the TiDB schema. This might involve converting data types, renaming fields, or restructuring data to conform to TiDB's requirements. Use scripting languages like Python or SQL scripts to automate this process.

Step 5: Load Data into TiDB

Once your data is transformed, use TiDB's native tools to load the data. You can use SQL 'LOAD DATA' command or batch insert statements to import data from CSV or JSON files into TiDB. Ensure to handle errors and verify that the data is correctly loaded.

Step 6: Verify Data Integrity and Consistency

After loading the data, perform thorough checks to ensure data integrity and consistency. Compare row counts, check for null values, and ensure all relationships are accurately represented. This step is critical to ensure no data is lost or corrupted during the transfer.

Step 7: Optimize and Index Data in TiDB

Finally, optimize the newly imported data in TiDB for performance. Create necessary indexes, update statistics, and perform any required optimizations to enhance query performance. Regularly monitor the database's performance and make adjustments as needed.

By following these steps, you can effectively and efficiently transfer data from Ashby to TiDB without relying on third-party tools.