How to load data from Pipedrive to TiDB

Learn how to use Airbyte to synchronize your Pipedrive 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 Pipedrive 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 Pipedrive 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 Pipedrive 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.

Demo video of Airbyte Cloud

Demo video of AI Connector Builder

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.

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

Tech Lead at Symend

Predictable, straightforward pricing model that simplified budgeting and significantly reduced overall spend

Learn more
Chase Zieman headshot

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.”

Learn more

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."

Learn more

How to Sync to Manually

Step 1: Export Data from Pipedrive

Begin by exporting the required data from Pipedrive. Log into your Pipedrive account, navigate to the "Deals," "Contacts," or any other data section you wish to export. Use the "Export" function typically found in the settings or options menu of that section. Choose the preferred format, such as CSV or Excel, and download the file to your local machine.

Step 2: Prepare Data for Import

Open the exported files using spreadsheet software like Microsoft Excel or Google Sheets. Review the data to ensure that it is correctly formatted and clean, removing any unnecessary columns or rows. Make sure that the data types (e.g., text, numbers, dates) are consistent and that there are no missing mandatory fields.

Step 3: Set Up TiDB Environment

If you haven't already, set up your TiDB environment. Install TiDB on your local machine or set it up on a cloud service. Ensure you have the necessary access credentials and that your instance is running. You may also need to install the TiDB client tools to interact with the database.

Step 4: Create Corresponding Tables in TiDB

Log into your TiDB instance using a SQL client. Create tables that correspond to the data structure you exported from Pipedrive. Use SQL commands like `CREATE TABLE` to define the schema, making sure to match the columns and data types from your prepared dataset.

Step 5: Convert Data to SQL Insert Statements

Convert the data in your prepared file into SQL `INSERT` statements. This can be done manually or by writing a script in a programming language like Python or using spreadsheet functions. Each row of data should be transformed into an `INSERT INTO` SQL statement compatible with the structure of your TiDB tables.

Step 6: Import Data into TiDB

Execute the SQL `INSERT` statements in your TiDB environment. You can do this by copying the statements into your SQL client's query window and running them, or by saving the statements into a file and using a command-line tool to execute the file in TiDB. Ensure that all commands execute without errors.

Step 7: Verify Data Integrity

After importing the data, verify that it has been correctly transferred. Run `SELECT` queries on your TiDB tables to check that all records are present and that the data matches what was originally in Pipedrive. Look for any discrepancies or errors and address them as needed to ensure data integrity.

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