Connect BigQuery and Google Cloud Firestore integrations
Connect BigQuery and Google Cloud Firestore with any of your favorite apps in just a few clicks. Design, build, and automate anything for your work by integrating apps like BigQuery and Google Cloud Firestore to create visual automated workflows. Choose from thousands of ready-made apps or use our no-code toolkit to connect to apps not yet in our library.
Triggers when a query job has completed processing successfully or unsuccessfully.
Triggers when a new row is inserted in a table.
Triggers when a new table is created in a dataset.
Backups documents from Firestore to Google Cloud Storage.
Creates a new document.
Deletes a single document.
Gets a single document.
Performs an arbitrary authorized API call.
Restores documents from Google Cloud Storage into Firestore. Existing documents with the same name are overwritten.
Updates or inserts a document.
Gets multiple documents across different collections.
Lists all the collection IDs underneath a document.
Lists documents of a collection.
Runs a query.
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Build your BigQuery and Google Cloud Firestore integrations.
Create custom BigQuery and Google Cloud Firestore workflows by choosing triggers, actions, and searches. A trigger is an event that launches the workflow, an action is the event.
Backups documents from Firestore to Google Cloud Storage.
Creates a new dataset.
Creates a new document.
Creates a new, empty table in the dataset.
Deletes the dataset specified by ID.
Deletes a single document.
Deletes the table specified by ID.
Gets multiple documents across different collections.
Retrieves results of a specified query.
Popular BigQuery and Google Cloud Firestore workflows.
Looking to get more out of BigQuery and Google Cloud Firestore? With Make you can visually integrate BigQuery and Google Cloud Firestore into any workflow to save time and resources — no coding required. Try any of these templates in just a few clicks.
Insert data into PostgreSQL and create documents in Google Cloud Firestore from Browse AI tasks
Use this automation to insert data into PostgreSQL and create Google Cloud Firestore documents from Browse AI tasks, streamlining data management across platforms.
TRY IT ->Send a message to Slack for every new query result written to Google BigQuery
Automatically send a Slack message for every new query result written to Google BigQuery, keeping your team updated in real-time.
TRY IT ->Extract and store new articles from RSS feeds to Google Cloud Firestore
Automatically extract new articles from RSS feeds, convert HTML to text, and store them in Google Cloud Firestore for easy access and management.
TRY IT ->Create a Firestore document from a custom webhook trigger
Trigger a custom webhook to automatically create a new document in Google Cloud Firestore, streamlining data integration and storage for your applications.
TRY IT ->Fetch Facebook ad account insights and write to Google BigQuery
Automatically fetch Facebook ad account insights and write them to Google BigQuery for streamlined data analysis and reporting.
TRY IT ->Create a new Firestore document for every new article from RSS feed
Automatically create a new Firestore document for each new article from your RSS feed using Make's integration with Google Cloud Firestore.
TRY IT ->Send data to Google BigQuery from a custom webhook
Streamline your data management process by automatically sending data from a custom webhook to Google BigQuery. This template allows you to capture incoming data through a Gateway Custom WebHook and seamlessly write it to your Google BigQuery database, ensuring that your data is organized and easily accessible for analysis. Perfect for businesses looking to enhance their data analytics capabilities without manual intervention.
TRY IT ->Add new Airtable records to Google BigQuery
Streamline your data management process by automatically transferring records from Airtable to Google BigQuery. With this template, every time a new record is added in Airtable, Make will create a corresponding row in Google BigQuery, ensuring your data is always up-to-date and easily accessible for analysis. This integration helps you maintain a seamless workflow between your project management and data analytics tools, enhancing your team's productivity and decision-making capabilities.
TRY IT ->Add new rows to Google BigQuery from a custom webhook
Streamline your data management process by automatically adding new entries to Google BigQuery whenever a custom webhook is triggered. This template allows you to efficiently capture and store data from various sources, ensuring that your analytics and reporting are always up-to-date. Perfect for developers and data analysts looking to enhance their data workflows without manual intervention.
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