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Security and identity ⇄ Data warehouse

Auth0 to BigQuery integration — real-time, two-way sync

Keep Auth0 and BigQuery in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Auth0 and BigQuery

Land the users, groups, and access events from Auth0 in BigQuery continuously for security analytics, and write computed results back — without building or maintaining a pipeline.

Auth0 is the record of who exists and what they can reach; BigQuery is where the business measures everything else. The two overlap on people and their access — the same users, groups, roles, and events that Auth0 governs are what security, compliance, and analytics teams want to query in BigQuery. Getting them there usually means a brittle export that runs overnight and hands auditors a snapshot that is already out of date.

Stacksync syncs Organization Members, Connections, Clients (Applications), Resource Servers (APIs) from Auth0 into tables in BigQuery in real time, and the connection works in both directions: values computed in BigQuery, such as risk scores or access-review decisions, can be written back to attributes in Auth0 where the identity team acts on them. Schema changes are handled, API limits are managed, and the sync is something you configure rather than a pipeline you keep alive.

Common use cases

  • 01 Maintain a customer master table in BigQuery joined across CRM, billing, and support sources
  • 02 Feed ML feature tables in BigQuery from operational systems on a continuous schedule
  • 03 Sync Organizations and their Connections into a customer database so B2B account records stay aligned with Auth0 tenants.
  • 04 Two-way sync of Users, including user_metadata and app_metadata, with a Postgres database so internal tools read and update profiles in SQL while Auth0 stays the login source of truth.

Common sync patterns

Risk and review results back on the account

Risk scores, anomaly flags, or access-review outcomes computed in BigQuery write back to attributes on the matching user in Auth0, where the identity team can act on them.

Directory data in the warehouse, minus the pipeline

Users, groups, and roles from Auth0 arrive in BigQuery as queryable tables, current within seconds instead of a nightly directory export.

Access and sign-in analytics

Sign-in and access events from Auth0 land in BigQuery, so security and compliance teams can query who reached what, and when, alongside the rest of the business's data.

What you can sync between Auth0 and BigQuery

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

Auth0 objects BigQuery objects How this pairing syncs
Organizations B2B customer tenants under /api/v2/organizations; synced two-way with a CRM or customer database to keep account records aligned with Auth0 orgs. Clustered tables Supported; clustering is transparent to the sync. Organizations is specific to Auth0 and Clustered tables to BigQuery — each maps to any object or custom field on the other side.
Organization Members Membership records linking Users to Organizations with roles; written to provision and deprovision access as accounts change. Datasets Organizational container — you pick which dataset’s tables to sync. Organization Members is specific to Auth0 and Datasets to BigQuery — each maps to any object or custom field on the other side.
Connections Identity-provider configs (database, social, enterprise SAML/OIDC); typically read out to inventory how each tenant authenticates. Projects Connection scope: the service account grants access per project. Connections is specific to Auth0 and Projects to BigQuery — each maps to any object or custom field on the other side.
Clients (Applications) Registered applications and their metadata under /api/v2/clients; mirrored to a database for app and credential inventories. Tables The syncable unit: only tables can be synced per the Stacksync docs. Clients (Applications) is specific to Auth0 and Tables to BigQuery — each maps to any object or custom field on the other side.
Resource Servers (APIs) API definitions and their scopes; synced so permission catalogs used for access reviews stay current. Partitioned tables Synced like regular tables; partition columns map to target fields. Resource Servers (APIs) is specific to Auth0 and Partitioned tables to BigQuery — each maps to any object or custom field on the other side.

How changes propagate between Auth0 and BigQuery

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Auth0 BigQuery Sub-second propagation

DetectionAuth0 notifies Stacksync of record changes through webhook events. Event Streams and Log Streams deliver near-real-time user.created/updated/deleted and tenant events to a custom webhook or Amazon EventBridge.

DeliveryEach detected change is applied to BigQuery as a row-level write, with types converted between the two schemas.

BigQuery Auth0 Sub-second propagation

DetectionChanges in BigQuery are captured at the source via change data capture — no polling loop against its API. Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen").

DeliveryEach detected change is written to Auth0 through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Auth0: Per-tenant limit of about 15 Management API requests/second (bursts to 50) on paid tenants; X-RateLimit-* headers and HTTP 429 signal throttling.
  • BigQuery: Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes.
What ships with Auth0 ⇄ BigQuery

Connect Auth0 and BigQuery for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Auth0–BigQuery connection.

Real-time

Two-way sync

Changes in Auth0 or BigQuery instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Auth0 or BigQuery data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Auth0 or BigQuery record.

Observability

Monitoring

Track your Auth0 ⇄ BigQuery sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Auth0 and BigQuery.

How the Auth0 and BigQuery connectors work

Auth0

Integration surface
Management API v2 (REST); Authentication API issues the access token
Authentication
OAuth 2.0 client credentials from a machine-to-machine application; scoped Bearer JWT where each operation needs its own scope (e.g. read:users, create:users, update:users) or returns 403
Change detection
Event Streams and Log Streams deliver near-real-time user.created/updated/deleted and tenant events to a custom webhook or Amazon EventBridge; polling falls back to the Get Users search filtered on updated_at
Capabilities
read · write · webhooks
Rate limits
Per-tenant limit of about 15 Management API requests/second (bursts to 50) on paid tenants; X-RateLimit-* headers and HTTP 429 signal throttling

BigQuery

Integration surface
GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs
Authentication
Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver
Change detection
Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in
Capabilities
read · write · CDC
Rate limits
Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes
BigQuery setup guide
How it works

How to connect Auth0 to BigQuery — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate Auth0 and BigQuery with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Auth0 connected
    BigQuery connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Auth0 and BigQuery objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Auth0 ⇄ BigQuery
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Auth0 BigQuery
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Auth0 and BigQuery integration FAQ

SECURITY

Security teams trust Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

Learn more about security
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ISO 27001
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GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 540 integrations available for Auth0 and BigQuery.

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