Google BigQuery and Supabase Integration

Google BigQuery icon
Supabase icon
Google BigQuery
Supabase

Demonstration of how apps are integrated in WEXTL workflow builder [4]

Connect Google BigQuery and Supabase to automate database workflows. Trigger events from one app, run actions in the other and use AI to make smart decisions. Integrate apps in 3 simple steps - no code required.

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Learn about Google BigQuery and Supabase

Detailed info you need to know about Google BigQuery and Supabase integrations in WEXTL. Explore which modules apps support and how you connect them.

Google BigQuery

Google BigQuery icon

Database1 trigger19 searches29 actionsQuery and manage Google BigQuery datasets, tables, jobs, and routines — run SQL and stream rows. [5]

Supabase

Supabase icon

Database3 triggers6 searches11 actionsPostgres database, authentication, storage, and real-time subscriptions. [6]

How to connect Google BigQuery to Supabase

Set up your Google BigQuery and Supabase integration in 3 simple steps [2] — no coding required. Up to 10 minutes setup.

How does the integration between Google BigQuery and Supabase work in WEXTL?

WEXTL exposes actions and triggers for Google BigQuery and Supabase that help you connect apps and automate repetitive tasks [1]. A trigger is an event that happens, an action — a step that performs when the event has occurred.

Google BigQuery triggersSupabase actions

Google BigQuery modules
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    Cancel JobCancels a running job.
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    Create DatasetCreates a new dataset.
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    Create JobCreates a query, load, copy, or extract job.
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    Create RoutineCreates a new routine.
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    Create Row Access PolicyCreates a row access policy.
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    Create TableCreates a new table.
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    Delete DatasetDeletes a dataset.
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    Delete JobDeletes the metadata of a completed job.
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    Delete ModelDeletes a model.
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    Delete RoutineDeletes a routine.
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    Delete Row Access Policies in BatchDeletes several row access policies.
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    Delete Row Access PolicyDeletes a row access policy.
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    Delete TableDeletes a table.
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    Edit DatasetUpdates selected fields on a dataset.
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    Edit ModelUpdates selected fields on a model.
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    Edit TableUpdates selected fields on a table.
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    Execute QueryRuns a SQL query.
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    Get DatasetReturns a single dataset.
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    Get JobReturns a single job.
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    Get ModelReturns a single model.
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    Get Query ResultsReturns results for a query job.
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    Get RoutineReturns a single routine.
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    Get Routine IAM PolicyReturns the IAM policy for a routine.
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    Get Row Access PolicyReturns a single row access policy.
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    Get Row Access Policy IAM PolicyReturns the IAM policy for a row access policy.
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    Get Service AccountReturns the project's BigQuery service account.
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    Get TableReturns a single table.
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    Get Table IAM PolicyReturns the IAM policy for a table.
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    Insert RowsInserts rows into a table.
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    List DatasetsRetrieves datasets in a project.
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    List JobsRetrieves jobs in a project.
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    List ModelsRetrieves models in a dataset.
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    List ProjectsRetrieves projects the user can access.
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    List RoutinesRetrieves routines in a dataset.
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    List Row Access PoliciesRetrieves row access policies on a table.
  • Google BigQuery icon
    List Table DataRetrieves rows from a table.
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    List TablesRetrieves tables in a dataset.
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    Make an API CallPerforms an arbitrary authorized API call.
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    Set Routine IAM PolicySets the IAM policy for a routine.
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    Set Table IAM PolicySets the IAM policy for a table.
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    Test Routine IAM PermissionsTests IAM permissions on a routine.
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    Test Row Access Policy IAM PermissionsTests IAM permissions on a row access policy.
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    Test Table IAM PermissionsTests IAM permissions on a table.
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    Undelete DatasetRestores a recently deleted dataset.
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    Update DatasetReplaces an existing dataset.
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    Update RoutineReplaces an existing routine.
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    Update Row Access PolicyReplaces a row access policy.
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    Update TableReplaces an existing table.
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    Watch JobsTriggers when a new BigQuery job is created.
Supabase modules
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    Create a RowCreates a new row.
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    Create a UserCreates a new user with a given email and password.
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    Create a User LinkCreates a link (auth, restore, magic log in, update password) for a specified user.
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    Create Multiple RowsCreates multiple rows (batch).
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    Delete a BucketDeletes an existing bucket by ID.
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    Delete a RowDeletes a single or multiple rows.
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    Delete a UserDeletes an existing user.
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    Download an ObjectDownloads an existing object from a storage bucket.
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    Get a Bucket DetailsRetrieves a detailed info about existing bucket.
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    Get a UserRetrieves a single user details.
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    Get Rows CountRetrieves rows count in a specified table.
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    List BucketsRetrieves a list of all available buckets.
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    List UsersRetrieves a list of users from Supabase Auth.
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    Make API CallPerforms an arbitrary authorized API call.
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    Search RowsSearches for rows.
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    Update a RowUpdates a single or multiple rows.
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    Upload an ObjectUploads an object to an existing bucket.
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    Watch EventsTriggers when your Supabase database posts an event to the generated webhook URL. Supabase has no webhook-registration API — copy the generated URL and add it under your Supabase project → Database → Webhooks (or Database → Triggers) for the table/events you want to watch.
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    Watch RowsTriggers when a row is created or updated.
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    Watch UsersTriggers when a new user is created using Supabase authentication.

Explore alternative integrations

There are other apps [9] supported by WEXTL that can be paired with Google BigQuery and Supabase integrations. Pick any from the list below if the current combination isn't the one you need.

Alternative integrations to Google BigQuery [5]

Alternative integrations to Supabase [6]

Try Google BigQuery and Supabase on WEXTL®

Claim your 3-day trial to build Google BigQuery with Supabase integration and access every WEXTL® feature.

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Frequently asked questions

Common questions about connecting Google BigQuery and Supabase.

References

List of sources used to gather information about the Google BigQuery and Supabase integration.

  1. Google BigQuery and Supabase integration source code, module specs and credentials implementation.
  2. Our Google BigQuery and Supabase integration documentation, structured input and output parameters, scopes, and authentication methods.
  3. Official vendor API documentation for Google BigQuery and Supabase — used to verify field meanings, authentication flows, and anything our own specs don't fully capture.
  4. WEXTL® visual workflow builder, anonymized data from our technical support team.
  5. Google BigQuery integration information
  6. Supabase integration information
  7. WEXTL® Scheduling
  8. WEXTL® Pricing and Trial
  9. WEXTL® Apps Library

Explore Google BigQuery and Supabase, or get started