How to load data from SurveyMonkey to BigQuery
Learn how to use Airbyte to synchronize your SurveyMonkey data into BigQuery 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 SurveyMonkey
Begin by logging into your SurveyMonkey account. Navigate to the survey from which you want to export data. Click on "Analyze Results" and then select "Export Results." Choose a format that is compatible with further processing, such as CSV or Excel. Download the file to your local system.
Step 2: Prepare the Data for BigQuery
Open the exported file using a spreadsheet program like Microsoft Excel or Google Sheets. Ensure that the data is clean and well-structured. This includes checking for missing values, correcting any formatting issues, and ensuring that the headers and data types are consistent with the schema you plan to use in BigQuery.
Step 3: Access Google Cloud Console
Log into your Google Cloud Platform account. If you don�t have one, create an account and set up a project. Navigate to the Google Cloud Console and open the BigQuery web interface.
Step 4: Create a Dataset in BigQuery
Within the BigQuery interface, create a new dataset to store your SurveyMonkey data. Click on your project, select "Create Dataset," and provide a suitable dataset ID. Configure any necessary dataset settings, such as data location and expiration.
Step 5: Define a Table Schema in BigQuery
Before uploading, define a table schema that matches the structure of your SurveyMonkey data. This includes defining each column's name, type, and mode (e.g., NULLABLE, REQUIRED). You can do this manually in the BigQuery interface or by writing a JSON schema file.
Step 6: Upload Data to BigQuery
In the BigQuery interface, navigate to the dataset you created. Click on "Create Table" and choose "Upload" as the source. Select the file format (CSV or Excel) you exported from SurveyMonkey. Upload the file from your local system, and map the columns to the table schema you defined. Configure additional options as needed, such as delimiter or header row details, and initiate the upload.
Step 7: Verify and Query the Data
Once the upload is complete, verify the data by running simple queries in BigQuery. Check for data integrity and ensure that all fields are accurately represented. Test a few queries to confirm that the data is correctly organized and accessible for your analytical needs.
By following these steps, you can manually transfer data from SurveyMonkey to BigQuery without relying on third-party connectors or integrations.