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integration Google BigQuery node

Integrate Google BigQuery with 500+ apps and services

Unlock Google BigQuery’s full potential with n8n, connecting it to similar Data & Storage apps and over 1000 other services. Automate data management by syncing, validating, and transforming data across platforms. Create adaptable and scalable workflows between Google BigQuery and your stack. All within a building experience you will love.

Create workflows with Google BigQuery integrations

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Popular ways to use Google BigQuery integration

HTTP Request node
Google BigQuery node

Send location updates of the ISS every minute to a table in Google BigQuery

This workflow allows you to send position updates of the ISS every minute to a table in Google BigQuery. Cron node: The Cron node will trigger the workflow every minute. HTTP Request node: This node will make a GET request to the API https://api.wheretheiss.at/v1/satellites/25544/positions to fetch the position of the ISS. This information gets passed on to the next node in the workflow. Set node: We will use the Set node to ensure that only the data that we set in this node gets passed on to the next nodes in the workflow. Google BigQuery: This node will send the data from the previous node to the position table in Google BigQuery. If you have created a table with a different name, use that table instead.
harshil1712
ghagrawal17
Google BigQuery node
Code node
+4

🗼 AI Powered Supply Chain Control Tower with BigQuery and GPT-4o

Tags: Supply Chain, Logistics, Control Tower Context Hey! I’m Samir, a Supply Chain Engineer and Data Scientist from Paris, and the founder of LogiGreen Consulting. We design tools to help companies improve their logistics processes using data analytics, AI, and automation—to reduce costs and minimize environmental impact. > Let’s use N8N to build smarter and more sustainable supply chains! Who is this template for? This workflow template is designed for logistics operations that need a monitoring solution for their distribution chains. Connected to your Transportation Management Systems, this AI agent can answer any question about the shipments handled by your distribution teams. How does it work? The workflow is connected to a Google BigQuery table that stores outbound order data (customer deliveries). Here’s what the AI agent does: 🤔 Receives a user question via chat. 🧠 Understands the request and generates the correct SQL query. ✅ Executes the SQL query using a BigQuery node. 💬 Responds to the user in plain English. Thanks to the chat memory, users can ask follow-up questions to dive deeper into the data. What do I need to get started? This workflow requires no advanced programming skills. You’ll need: A Google BigQuery account with an SQL table storing transactional records. An OpenAI API key (GPT-4o) for the chat model. Next Steps Follow the sticky notes in the workflow to configure each node and start using AI to support your supply chain operations. 🎥 Watch My Tutorial 🚀 Curious how N8N can transform your logistics operations? 📬 Let’s connect on LinkedIn Notes The chat trigger can easily be replaced with Teams, Telegram, or Slack for a better user experience. You can also connect this to a customer chat window using a webhook. This workflow was built using N8N version 1.82.1 Submitted: March 24, 2025
samirsaci
Samir Saci

Supported Actions

Execute Query
Execute a SQL query
Insert
Insert rows in a table
Google BigQuery node

About Google BigQuery

Many businesses use the Google Cloud service BigQuery for data reporting. BigQuery is categorized as an Advanced Data Connector. The amount of data that needs to be processed could be quite large (up to 10,000 columns and tens of millions of rows).

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FAQ about Google BigQuery integrations

  • How can I set up Google BigQuery integration in n8n?

      To use Google BigQuery integration in n8n, start by adding the Google BigQuery node to your workflow. You'll need to authenticate your Google BigQuery account using supported authentication methods. Once connected, you can choose from the list of supported actions or make custom API calls via the HTTP Request node, for example: you can configure your queries and set up triggers based on your workflow needs. Make sure to properly handle any authentication scopes required for your specific use case. Finally, test your integration to ensure it's functioning as expected before deploying your workflow.

  • Do I need any special permissions or API keys to integrate Google BigQuery with n8n?

  • Can I combine Google BigQuery with other apps in n8n workflows?

  • What are some common use cases for Google BigQuery integrations with n8n?

  • How does n8n’s pricing model benefit me when integrating Google BigQuery?

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