How to load data from Salesforce to TiDB

Learn how to use Airbyte to synchronize your Salesforce 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 Salesforce 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 Salesforce 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 Salesforce 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: Export Data from Salesforce

To begin, export the data from Salesforce. Navigate to Salesforce's Data Export feature. You can do this by going to Setup, then Data Management, and selecting Data Export. Choose the objects you want to export, and initiate the export process. This will provide you with CSV files containing your data.

Step 2: Prepare the Exported Data

Once you have your CSV files, review them to ensure they contain the necessary data. Clean the data by checking for any inconsistencies or errors that might have occurred during the export. Ensure that the data types align with what you intend to store in TiDB.

Step 3: Install and Configure TiDB

Set up TiDB on your server or cloud environment. Follow the official TiDB installation guide to install TiDB components, which include TiDB servers, TiKV servers, and PD servers. Configure your TiDB cluster to ensure it's ready to accept data.

Step 4: Create Corresponding Tables in TiDB

With TiDB set up, create tables that match the structure of your Salesforce data. Use SQL commands to define the schema for each table, ensuring data types and constraints match those of your exported data. This will prepare TiDB to receive the incoming data.

Step 5: Convert CSV to SQL Insert Statements

Transform your CSV data into SQL insert statements. You can write a script in Python, using libraries like `csv` and `pandas`, to read your CSV files and generate SQL insert statements. Make sure these statements are compatible with the schema you defined in TiDB.

Step 6: Import Data into TiDB

Use the `mysql` client or a similar SQL client to connect to your TiDB database. Run the SQL insert statements generated in the previous step to import the data into your tables. Ensure the import process is monitored for any errors or discrepancies.

Step 7: Verify Data Integrity and Performance

After importing the data, verify its integrity by running queries to check that all records are present and correctly formatted. Additionally, assess the performance of your TiDB cluster to ensure it meets your operational requirements. Adjust configurations if necessary to optimize performance.

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