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Security and identity ⇄ Data warehouse

Azure Active Directory to Google Cloud Platform integration — real-time, two-way sync

Keep Azure Active Directory and Google Cloud Platform 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 Azure Active Directory and Google Cloud Platform

Land the users, groups, and access events from Azure Active Directory in Google Cloud Platform continuously for security analytics, and write computed results back — without building or maintaining a pipeline.

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 Getting them there usually means a brittle export that runs overnight and hands auditors a snapshot that is already out of date.

Stacksync syncs Applications, Service principals, Directory roles, Devices from Azure Active Directory into tables in Google Cloud Platform in real time, and the connection works in both directions: values computed in Google Cloud Platform, such as risk scores or access-review decisions, can be written back to attributes in Azure Active Directory 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 Publish change events to Pub/Sub so downstream services react to record updates as they happen.
  • 02 Replicate Groups and their Members into a Postgres warehouse for access reviews and entitlement reporting.
  • 03 Mirror Applications and Service principals into a database or CMDB to track app ownership and credential expiry.

Common sync patterns

Risk and review results back on the account

Risk scores, anomaly flags, or access-review outcomes computed in Google Cloud Platform write back to attributes on the matching user in Azure Active Directory, where the identity team can act on them.

Directory data in the warehouse, minus the pipeline

Users, groups, and roles from Azure Active Directory arrive in Google Cloud Platform as queryable tables, current within seconds instead of a nightly directory export.

Access and sign-in analytics

Sign-in and access events from Azure Active Directory land in Google Cloud Platform, 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 Azure Active Directory and Google Cloud Platform

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.

Azure Active Directory objects Google Cloud Platform objects How this pairing syncs
Group memberships Member and owner relationships on /groups/{id}/members; added and removed via the $ref endpoint and tracked for changes with delta query on $select=members. BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. Group memberships is specific to Azure Active Directory and BigQuery tables to Google Cloud Platform — each maps to any object or custom field on the other side.
Applications App registrations under /applications; usually read into a database or CMDB for app ownership and credential-expiry tracking. Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. Applications is specific to Azure Active Directory and Cloud SQL databases to Google Cloud Platform — each maps to any object or custom field on the other side.
Service principals /servicePrincipals (enterprise apps) plus appRoleAssignments; read for app inventory and access-posture reporting. Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. Service principals is specific to Azure Active Directory and Cloud Storage objects to Google Cloud Platform — each maps to any object or custom field on the other side.
Directory roles /directoryRoles and roleManagement assignments; read for privileged-access reviews, with role-assignment writes where the granted scopes permit. Pub/Sub topics Event streams used to move change events between systems in near real time. Directory roles is specific to Azure Active Directory and Pub/Sub topics to Google Cloud Platform — each maps to any object or custom field on the other side.
Devices /devices registered or joined to the tenant; typically read-only into asset and security databases. Firestore documents Document data read and written through the Firestore API for app-facing syncs. Devices is specific to Azure Active Directory and Firestore documents to Google Cloud Platform — each maps to any object or custom field on the other side.
Users /users in Microsoft Graph; synced two-way — profile attributes, accountEnabled, and assignedLicenses are read out while provisioning writes (create, update, disable, delete) are pushed back. Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. Users is specific to Azure Active Directory and Spanner tables to Google Cloud Platform — each maps to any object or custom field on the other side.

How changes propagate between Azure Active Directory and Google Cloud Platform

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.

Azure Active Directory Google Cloud Platform Sub-second propagation

DetectionAzure Active Directory notifies Stacksync of record changes through webhook events. Microsoft Graph delta query (deltaLink tokens returning only changed users and groups, with @removed deletions) paired with change-notification.

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

Google Cloud Platform Azure Active Directory Sub-second propagation

DetectionGoogle Cloud Platform pushes changes as they happen — webhook events backed by change data capture. Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery.

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

Rate-limit considerations

  • Azure Active Directory: Resource-unit throttling: roughly 8,000 ResourceUnits per 10 seconds per app for reads on tenants over 500 users, writes near 3,000 requests per 2.5 minutes; 429 responses include a Retry-After header.
  • Google Cloud Platform: Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits.
What ships with Azure Active Directory ⇄ Google Cloud Platform

Connect Azure Active Directory and Google Cloud Platform for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Active Directory–Google Cloud Platform connection.

Real-time

Two-way sync

Changes in Azure Active Directory or Google Cloud Platform instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Azure Active Directory or Google Cloud Platform 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 Azure Active Directory or Google Cloud Platform record.

Observability

Monitoring

Track your Azure Active Directory ⇄ Google Cloud Platform sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Azure Active Directory and Google Cloud Platform.

How the Azure Active Directory and Google Cloud Platform connectors work

Azure Active Directory

Integration surface
Microsoft Graph REST API (v1.0)
Authentication
OAuth 2.0 via the Microsoft identity platform using an Entra ID app registration; app-only (client credentials) or delegated flows, with directory scopes such as User.ReadWrite.All and Group.ReadWrite.All requiring tenant admin consent
Change detection
Microsoft Graph delta query (deltaLink tokens returning only changed users and groups, with @removed deletions) paired with change-notification webhook subscriptions for near-real-time push
Capabilities
read · write · webhooks
Rate limits
Resource-unit throttling: roughly 8,000 ResourceUnits per 10 seconds per app for reads on tenants over 500 users, writes near 3,000 requests per 2.5 minutes; 429 responses include a Retry-After header

Google Cloud Platform

Integration surface
Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols
Authentication
IAM service accounts with OAuth 2.0 tokens
Change detection
Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery tables
Capabilities
read · write · CDC · webhooks
Rate limits
Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits
How it works

How to connect Azure Active Directory to Google Cloud Platform — 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 Azure Active Directory and Google Cloud Platform 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
    Azure Active Directory connected
    Google Cloud Platform connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Azure Active Directory and Google Cloud Platform 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 · Azure Active Directory ⇄ Google Cloud Platform
    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
    Azure Active Directory Google Cloud Platform
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Azure Active Directory and Google Cloud Platform 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.

SOC 2 Type II
ISO 27001
HIPAA BAA
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:

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