Two-way sync
Changes in Azure Active Directory or Google Cloud Platform instantly reflect in both systems. No stale data, no manual imports.
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.
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 Getting them there usually means a brittle export that runs overnight and hands auditors a snapshot that is already out of date.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.
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.
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.
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.
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. |
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.
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.
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.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Active Directory–Google Cloud Platform connection.
Changes in Azure Active Directory or Google Cloud Platform instantly reflect in both systems. No stale data, no manual imports.
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.
Handle millions of events per minute without losing a single Azure Active Directory or Google Cloud Platform record.
Track your Azure Active Directory ⇄ Google Cloud Platform sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Active Directory and Google Cloud Platform.
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.
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.
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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Azure Active Directory and Google Cloud Platform: authenticate both systems, choose the objects to sync (such as Azure Active Directory's Group memberships and Applications), map fields visually, and changes propagate both ways in milliseconds — no code required.
Google Cloud Platform: Cloud SQL Postgres and MySQL expose log-based CDC (logical replication and binlog), which Datastream and external sync tools consume for real-time replication. Azure Active Directory: Change is tracked with Microsoft Graph delta query: deltaLink tokens return only modified User and Group properties and mark deletions with an @removed annotation; unused delta tokens eventually expire and force a full resync. Stacksync's field mapping accounts for these differences between Azure Active Directory and Google Cloud Platform without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Azure Active Directory and Google Cloud Platform records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Azure Active Directory and Google Cloud Platform connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure Active Directory–Google Cloud Platform integration in-house.
Yes — Stacksync ships production-grade connectors for both Azure Active Directory and Google Cloud Platform. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Azure Active Directory: 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. On Google Cloud Platform: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 537 integrations available for Azure Active Directory and Google Cloud Platform.