How to load data from SurveyMonkey to TiDB

Learn how to use Airbyte to synchronize your SurveyMonkey data into TiDB within minutes.

Try Airbyte Cloud Manual method (the hard way)

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 SurveyMonkey 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 SurveyMonkey 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 SurveyMonkey 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.

Try Airbyte Cloud Manual method (the hard way)

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

Talk to our team

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.

Try Airbyte Cloud Manual method (the hard way)

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

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 SurveyMonkey

Begin by logging into your SurveyMonkey account. Navigate to the survey whose data you wish to export. Use the 'Analyze Results' tab to access the data. Choose the 'Export' option, and select CSV format for your export. Download the CSV file to your local machine.

Step 2: Prepare CSV for Import

Open the downloaded CSV file using a spreadsheet application like Microsoft Excel or Google Sheets. Review the data to ensure it is complete and correctly formatted. Make any necessary adjustments, such as renaming columns to match the TiDB schema or removing unwanted data.

Step 3: Set Up TiDB Environment

Ensure you have a TiDB cluster set up and running. You can deploy TiDB on-premises or use a cloud service. Verify your connection details, including the host, port, username, and password, which will be needed to import data.

Step 4: Create Database and Tables in TiDB

Access your TiDB instance using a MySQL client or command-line tool. Create a new database if needed using the command `CREATE DATABASE survey_data;`. Then, create the necessary tables to hold the survey data, ensuring the schema matches the structure of your CSV file. Use SQL `CREATE TABLE` statements to define columns and data types.

Step 5: Load CSV into TiDB

Use the `LOAD DATA LOCAL INFILE` SQL command to import data from the CSV file into your TiDB table. First, transfer the CSV file to the server where TiDB is running if it’s not on your local machine. Then execute a command such as:
```sql
LOAD DATA LOCAL INFILE '/path/to/your/file.csv'
INTO TABLE your_table_name
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\n'
IGNORE 1 ROWS;
```
This command assumes the first row in your CSV contains headers and should be ignored.

Step 6: Verify Data Integrity

After the import, it's crucial to verify that the data in TiDB matches the source data from SurveyMonkey. Run SQL queries to check the count of rows and review a sample of the data to ensure accuracy. Compare this with the original CSV to confirm consistency.

Step 7: Perform Data Cleanup and Optimization

Once data is verified, perform any necessary cleanup within TiDB. This may include removing duplicate entries, indexing important columns for faster queries, and optimizing table structures. Utilize SQL commands to refine your data as needed for your specific use case.

By following these steps, you can manually transfer data from SurveyMonkey to TiDB without relying on third-party connectors or integrations.