--- title: "Connect Airtable and Google BigQuery - APIANT.ai" description: "When \"New or Updated Record\" fires in Airtable, your agent runs \"Create Row\" in Google BigQuery." canonical: "https://apiant.ai/connect/airtable-to-google-bigquery" --- # Connect Airtable and Google BigQuery When **New or Updated Record** fires in [Airtable](https://apiant.ai/connections/airtable), your agent runs **Create Row** in [Google BigQuery](https://apiant.ai/connections/google-bigquery), or **New Job Completed** in Google BigQuery to **Add Comment to Record** in Airtable. Describe the whole flow and it is built, tested on every scenario and kept running. Airtable **2** triggers Airtable **14** actions Google BigQuery **4** triggers Google BigQuery **10** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want Airtable and Google BigQuery to do together? Give your AI client this address. `https://mcp.apiant.ai` One connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser. ### Set it up in your client ### Claude Code Run this in the directory you want to work in. `claude mcp add --transport http -s project apiant-ai https://mcp.apiant.ai` Start Claude Code there, approve the server, and sign in in the browser page it opens. [Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code) ### Claude, web and desktop Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### Cursor Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### Zed Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### Codex and the ChatGPT desktop app Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### Any other MCP client Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) Example flows ## What Airtable and Google BigQuery can do together ### From Airtable to Google BigQuery - When **New or Updated Record** in Airtable then **Create Row** in Google BigQuery - When **New Record** in Airtable then **Create Rows** in Google BigQuery ### From Google BigQuery to Airtable - When **New Job Completed** in Google BigQuery then **Add Comment to Record** in Airtable - When **New Row** in Google BigQuery then **Create or Update Record** in Airtable Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships. Everything your agent can do with Airtable and Google BigQuery ## Triggers and actions 6 triggers · 24 actions - Trigger **New or Updated Record** Triggers when a record is created or updated. - Trigger **New Record** Triggers when a new record is created or new or existing records when first added to a selected view. - Action **Add Comment to Record** Add a comment to an existing record in Airtable. - Action **Create Base** Create a new Airtable base in your workspace. - Action **Create or Update Record** Find and update an existing record, or create a new one. - Action **Create Record** Creates a new record with auto-populating fields. - Action **Create Table** Create a new table in an existing Airtable base. - Action **Delete Record** Delete a record in a table. - Action **Find Record** Find a record in a table. - Action **Find Record by ID** Find a specific record using its unique ID. - Action **Find Table** Find tables by searching for a keyword in table name or description. - Action **Get All Records** List all records from a table with pagination support. - Action **Get Base Schema** Retrieve the complete schema for a base, including all tables and their field definitions. - Action **List bases** Lists every Airtable base the connected account can see. Takes no search criterion. - Action **Update Multiple Records** Update up to 10 records at once in a specific table. - Action **Update Record** Update a record in a specific table. - Trigger **New Job Completed** Triggers when a BigQuery job in the project finishes, whether it succeeded or failed. - Trigger **New Row** Triggers when a new row is added to a table. New rows are detected by a column you name that increases for newer rows, such as a creation time or a sequential ID. - Trigger **Query Job Completed (With Row Data)** Triggers when a SELECT query job in the project finishes successfully, and includes its result rows. - Trigger **Updated Row** Triggers when a row in a table is added or changed, detected by a last-updated timestamp column you name. - Action **Create Row** Creates a new row of data in a table. Note: Does not create a job. - Action **Create Rows** Creates new rows of data in a table (accepts line items). Note: Does not create a job. - Action **Delete Rows** Deletes every row in a table whose match column equals the value you give. - Action **Find One Row** Finds the first row in a table whose column equals the value you give. - Action **Get Rows for Job Completed** Returns the result rows of a finished query job. - Action **Import Data** Imports a JSON, CSV, Avro or Parquet file from Cloud Storage into a table. Waits up to about 40 seconds for the import to finish; larger imports keep running in BigQuery and return state RUNNING. - Action **List Datasets** Returns the datasets in a Google Cloud project. - Action **List Tables** Returns the tables in a BigQuery dataset. - Action **Run a Query** Runs a SQL query against a table in BigQuery. - Action **Update Row(s)** Updates every row in a table whose match column equals the value you give, setting the columns you choose. ## Each app on its own - [ **Airtable** Organize anything with Airtable, a modern database created for everyone.](https://apiant.ai/connections/airtable) - [ **Google BigQuery** BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your...](https://apiant.ai/connections/google-bigquery) Reviews ## What our customers say ## More from Airtable - [ **Airtable to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/airtable-to-hubspot) - [ **Airtable to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/airtable-to-slack) - [ **Airtable to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/airtable-to-google-calendar) - [ **Airtable to Google Drive** Google Drive is a cloud storage solution for uploading, sharing, and collaborating on files across devices...](https://apiant.ai/connect/airtable-to-google-drive) - [ **Airtable to Shopify** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/airtable-to-shopify) - [ **Airtable to QuickBooks Online** QuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...](https://apiant.ai/connect/airtable-to-quickbooks-online) ## More into Google BigQuery - [ **Gmail to Google BigQuery** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-google-bigquery) - [ **ActiveCampaign to Google BigQuery** ActiveCampaign is a marketing automation, email marketing, and CRM platform.](https://apiant.ai/connect/activecampaign-to-google-bigquery) - [ **Asana to Google BigQuery** Asana is a collaborative information manager for workspace.](https://apiant.ai/connect/asana-to-google-bigquery) - [ **ClickUp to Google BigQuery** ClickUp is an all-in-one app to plan, track, and manage your work in a beautifully intuitive environment.](https://apiant.ai/connect/clickup-to-google-bigquery) - [ **Discord to Google BigQuery** Discord is an all-in-one voice and text chat for gamers.](https://apiant.ai/connect/discord-to-google-bigquery) - [ **Freshdesk to Google BigQuery** Freshdesk is a cloud-based customer support and helpdesk platform.](https://apiant.ai/connect/freshdesk-to-google-bigquery) Questions ## Airtable and Google BigQuery, answered ### ### What can start an automation from Airtable? Any of Airtable's 2 triggers in the catalog, including New or Updated Record and New Record. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in Google BigQuery when something happens in Airtable? Any of Google BigQuery's 10 actions, including Create Row, Create Rows, Get Rows for Job Completed and Update Row(s). Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Google BigQuery to Airtable? Yes. When something happens in Google BigQuery, your agent can act in Airtable too. This page covers both directions: Google BigQuery's triggers and Airtable's actions are listed here as well. ### ### Do I have to build a connector for Airtable or Google BigQuery? No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running. ### ### Can my AI client use Airtable and Google BigQuery without building an automation? Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both. ### ### What happens when something fails? Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships. ### ### Is there a free plan? Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.