STEP 1
Connect Google BigQuery and Google Firestore
Save credentials in WEXTL once. We store them encrypted and reuse the authorization across every workflow [3]. No coding or API skills required.
Google BigQuery and Google Firestore Integration
Google BigQuery
Google Firestore
Demonstration of how apps are integrated in WEXTL workflow builder [4]
Connect Google BigQuery and Google Firestore 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 Google Firestore
Detailed info you need to know about Google BigQuery and Google Firestore integrations in WEXTL. Explore which modules apps support and how you connect them.
Google BigQuery
Query and manage Google BigQuery datasets, tables, jobs, and routines — run SQL and stream rows. [5]
Google Firestore
Cloud Firestore NoSQL database for realtime app data. [6]
How to connect Google BigQuery to Google Firestore
Set up your Google BigQuery and Google Firestore integration in 3 simple steps [2] — no coding required. Up to 10 minutes setup.
STEP 2
Build a workflow
Paste selected Google BigQuery and Google Firestore nodes onto the canvas [4], or describe what you want and WEXTL wires the flow together with AI Builder.
STEP 3
Map your data
Choose which fields need to sync between Google BigQuery and Google Firestore. Use filters or leverage a JS custom code step in between — everything is on the canvas.
How does the integration between Google BigQuery and Google Firestore work in WEXTL?
WEXTL exposes actions and triggers for Google BigQuery and Google Firestore 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 triggersGoogle Firestore actions
Google BigQuery modules
- Cancel JobCancels a running job.
- Create DatasetCreates a new dataset.
- Create JobCreates a query, load, copy, or extract job.
- Create RoutineCreates a new routine.
- Create Row Access PolicyCreates a row access policy.
- Create TableCreates a new table.
- Delete DatasetDeletes a dataset.
- Delete JobDeletes the metadata of a completed job.
- Delete ModelDeletes a model.
- Delete RoutineDeletes a routine.
- Delete Row Access Policies in BatchDeletes several row access policies.
- Delete Row Access PolicyDeletes a row access policy.
- Delete TableDeletes a table.
- Edit DatasetUpdates selected fields on a dataset.
- Edit ModelUpdates selected fields on a model.
- Edit TableUpdates selected fields on a table.
- Execute QueryRuns a SQL query.
- Get DatasetReturns a single dataset.
- Get JobReturns a single job.
- Get ModelReturns a single model.
- Get Query ResultsReturns results for a query job.
- Get RoutineReturns a single routine.
- Get Routine IAM PolicyReturns the IAM policy for a routine.
- Get Row Access PolicyReturns a single row access policy.
- Get Row Access Policy IAM PolicyReturns the IAM policy for a row access policy.
- Get Service AccountReturns the project's BigQuery service account.
- Get TableReturns a single table.
- Get Table IAM PolicyReturns the IAM policy for a table.
- Insert RowsInserts rows into a table.
- List DatasetsRetrieves datasets in a project.
- List JobsRetrieves jobs in a project.
- List ModelsRetrieves models in a dataset.
- List ProjectsRetrieves projects the user can access.
- List RoutinesRetrieves routines in a dataset.
- List Row Access PoliciesRetrieves row access policies on a table.
- List Table DataRetrieves rows from a table.
- List TablesRetrieves tables in a dataset.
- Make an API CallPerforms an arbitrary authorized API call.
- Set Routine IAM PolicySets the IAM policy for a routine.
- Set Table IAM PolicySets the IAM policy for a table.
- Test Routine IAM PermissionsTests IAM permissions on a routine.
- Test Row Access Policy IAM PermissionsTests IAM permissions on a row access policy.
- Test Table IAM PermissionsTests IAM permissions on a table.
- Undelete DatasetRestores a recently deleted dataset.
- Update DatasetReplaces an existing dataset.
- Update RoutineReplaces an existing routine.
- Update Row Access PolicyReplaces a row access policy.
- Update TableReplaces an existing table.
- Watch JobsTriggers when a new BigQuery job is created.
Google Firestore modules
- Batch Get DocumentsBatches get documents.
- Batch WriteBatches the write.
- Begin TransactionBegins the transaction.
- Bulk Delete DocumentsPerforms bulk delete documents.
- Cancel OperationCancels the operation.
- Clone DatabaseClones the database.
- CommitCommits the record.
- Create Backup ScheduleCreates backup schedule.
- Create DatabaseCreates a new database.
- Create DocumentCreates a new document.
- Create User CredsCreates user creds.
- Delete BackupDeletes an existing backup.
- Delete Backup ScheduleDeletes backup schedule.
- Delete DatabaseDeletes an existing database.
- Delete DocumentDeletes an existing document.
- Delete IndexDeletes an existing index.
- Delete OperationDeletes an existing operation.
- Delete User CredsDeletes user creds.
- Disable User CredsDisables user creds.
- Enable User CredsEnables user creds.
- Execute PipelineExecutes the pipeline.
- Export DocumentsExports the documents.
- Get BackupReturns a single backup.
- Get Backup ScheduleRetrieves backup schedule.
- Get DatabaseReturns a single database.
- Get DocumentReturns a single document.
- Get FieldReturns a single field.
- Get IndexReturns a single index.
- Get LocationReturns a single location.
- Get OperationReturns a single operation.
- Get User CredsRetrieves user creds.
- Import DocumentsImports the documents.
- List Backup SchedulesLists backup schedules.
- List BackupsRetrieves a list of backups.
- List Collection IdsLists collection IDs.
- List DatabasesRetrieves a list of databases.
- List DocumentsRetrieves a list of documents.
- List FieldsRetrieves a list of fields.
- List IndexesRetrieves a list of indexes.
- List LocationsRetrieves a list of locations.
- List OperationsRetrieves a list of operations.
- List User CredsLists user creds.
- Partition QueryPartitions the query.
- Reset User Creds PasswordResets user creds password.
- Restore DatabaseRestores the database.
- RollbackRollbacks the record.
- Run Aggregation QueryRuns aggregation query.
- Run QueryRuns the query.
- Update Backup ScheduleUpdates backup schedule.
- Update DatabaseUpdates an existing database.
Explore alternative integrations
There are other apps [9] supported by WEXTL that can be paired with Google BigQuery and Google Firestore integrations. Pick any from the list below if the current combination isn't the one you need.
Frequently asked questions
Common questions about connecting Google BigQuery and Google Firestore.
Connect your Google BigQuery and Google Firestore accounts once, pick a trigger in one app and an action in the other, then map the fields so data flows automatically between them. [3]
Example: when Google BigQuery's "Watch Jobs" fires, WEXTL can "Batch Get Documents" in Google Firestore. Google BigQuery has 1 trigger (including Watch Jobs); Google Firestore has 52 actions (including Batch Get Documents, Batch Write, and Begin Transaction). Add filters and transforms between steps when you need them. [1]
Yes — the integration works in both directions. Use each app's triggers to start a workflow and the other app's actions to update it. [2]
No. Google BigQuery-to-Google Firestore automations are built visually on the canvas. You can optionally add custom JavaScript with Functions when you need advanced logic. [4]
Yes. Trigger-based automations start the moment Google BigQuery (or Google Firestore) fires a new event — webhook-backed apps run within seconds, and polling-only apps re-check on a schedule you control. [7]
A first automation typically takes 5–10 minutes: connect each app's credential once, drop a trigger + action onto the canvas, map the fields, and turn the workflow on.
You can build your Google BigQuery + Google Firestore automation on a 3-day trial with every feature unlocked. Cancel anytime. For your protection, a small deposit is charged to your card when your trial starts. It counts toward your first payment and is non-refundable. [8]
References
List of sources used to gather information about the Google BigQuery and Google Firestore integration.
- Google BigQuery and Google Firestore integration source code, module specs and credentials implementation.
- Our Google BigQuery and Google Firestore integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official vendor API documentation for Google BigQuery and Google Firestore — used to verify field meanings, authentication flows, and anything our own specs don't fully capture.
- WEXTL® visual workflow builder, anonymized data from our technical support team.
- Google BigQuery integration information
- Google Firestore integration information
- WEXTL® Scheduling
- WEXTL® Pricing and Trial
- WEXTL® Apps Library