Two-way sync
Changes in Google Cloud Platform or Microsoft Graph instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Platform and Microsoft Graph in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Google Cloud Platform is the central store where teams keep Pub/Sub topics, Firestore documents, Spanner tables, BigQuery datasets for reporting and analysis; Microsoft Graph runs the operational side of engineering work — tracking issues, moving messages and events, watching systems, and managing users and access. The two overlap wherever the same operational data matters to both: the Planner tasks, Users, Groups and memberships, Mail messages (Outlook) produced in Microsoft Graph are exactly what analysts want to measure in Google Cloud Platform, and the curated rows in Google Cloud Platform are what should drive the next action in Microsoft Graph. When that overlap is bridged by nightly ETL or hand-written scripts, dashboards lag a day behind reality and the tools that should react to warehouse signals never see them.
Stacksync syncs Pub/Sub topics, Firestore documents, Spanner tables, BigQuery datasets in Google Cloud Platform with Planner tasks, Users, Groups and memberships, Mail messages (Outlook) in Microsoft Graph field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync matches records on a stable external key, keeps every copy consistent, and resolves conflicts by rules you set — so analytics and operations work from the same current data instead of two drifting copies.
A row scored, flagged, or enriched in Google Cloud Platform creates or updates the matching record in Microsoft Graph, so the operational tool acts on the same data the analysts already see.
Load the existing set of Planner tasks, Users, Groups and memberships, Mail messages (Outlook) into Google Cloud Platform once, then keep it current with every change — you get full history plus real-time updates without a separate pipeline.
New and changed records move field by field the moment they change, replacing scheduled ETL and one-off scripts that fail quietly and leave stale rows behind.
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.
| Google Cloud Platform objects | Microsoft Graph objects | How this pairing syncs | |
|---|---|---|---|
| Firestore documents Document data read and written through the Firestore API for app-facing syncs. | Calendar events Outlook events via /users/{id}/events; read and write meetings, attendees, and recurrence, and accept or decline invitations. | Firestore documents is specific to Google Cloud Platform and Calendar events to Microsoft Graph — each maps to any object or custom field on the other side. | |
| Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. | Contacts Personal Outlook contacts via /users/{id}/contacts; full create, read, update, delete, synced two-way with CRM person records. | Spanner tables is specific to Google Cloud Platform and Contacts to Microsoft Graph — each maps to any object or custom field on the other side. | |
| BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. | Drive items (OneDrive & SharePoint) Files and folders via /drives and /me/drive; read and write items, upload and download content, and read per-item metadata. | BigQuery datasets is specific to Google Cloud Platform and Drive items (OneDrive & SharePoint) to Microsoft Graph — each maps to any object or custom field on the other side. | |
| BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | Teams messages and chats Channel messages and chats via /teams/{id}/channels and /chats; read message history and post new messages for alerts and archiving. | BigQuery tables is specific to Google Cloud Platform and Teams messages and chats to Microsoft Graph — each maps to any object or custom field on the other side. | |
| Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | Planner tasks Plans, buckets, and tasks via /planner; read and write task status, assignments, and due dates to keep project state in sync. | Cloud SQL databases is specific to Google Cloud Platform and Planner tasks to Microsoft Graph — each maps to any object or custom field on the other side. | |
| Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | Users Entra ID user accounts read and written via /users; create, update profile attributes, and enable or disable accounts with User.ReadWrite.All. | Cloud Storage objects is specific to Google Cloud Platform and Users to Microsoft Graph — 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.
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 Microsoft Graph through its API, with automatic retries and rate-limit backoff.
DetectionMicrosoft Graph notifies Stacksync of record changes through webhook events. Delta query (change tracking) returns created, updated, and deleted items since the last deltaLink for users, groups, mail, events, contacts, and.
DeliveryEach detected change is applied to Google Cloud Platform as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Platform–Microsoft Graph connection.
Changes in Google Cloud Platform or Microsoft Graph instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Platform or Microsoft Graph data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Google Cloud Platform or Microsoft Graph record.
Track your Google Cloud Platform ⇄ Microsoft Graph sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud Platform and Microsoft Graph.
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 Google Cloud Platform and Microsoft Graph 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 Google Cloud Platform and Microsoft Graph 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 Google Cloud Platform and Microsoft Graph: authenticate both systems, choose the objects to sync (such as Google Cloud Platform's Firestore documents and Spanner tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Google Cloud Platform and Microsoft Graph: Warehouse signals reach Microsoft Graph; Backfill history, then stay live; No batch jobs to babysit. A row scored, flagged, or enriched in Google Cloud Platform creates or updates the matching record in Microsoft Graph, so the operational tool acts on the same data the analysts already see.
Google Cloud Platform: 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. Microsoft Graph: Microsoft Graph unified REST API (v1.0 and beta) at graph.microsoft.com, spanning Microsoft 365 services — Entra ID, Outlook mail and calendar, OneDrive and SharePoint, Teams, and Planner; supports JSON $batch (up to 20 requests per call). Authentication: OAuth 2.0 via the Microsoft identity platform (Microsoft Entra ID). An app registration holds delegated or application (app-only) scopes such as Mail.ReadWrite, Calendars.ReadWrite, Files.ReadWrite.All, User.ReadWrite.All, and Group.ReadWrite.All; application permissions require tenant admin consent. Stacksync manages authentication, retries, and rate limits on both sides.
Google Cloud Platform: Authentication is uniform across services through IAM service accounts, so one credential model covers BigQuery, Cloud SQL, Cloud Storage, and Pub/Sub. Microsoft Graph: Microsoft Graph is one unified endpoint (graph.microsoft.com): the same OAuth token and query patterns reach Entra ID, Outlook mail and calendar, OneDrive and SharePoint, Teams, and Planner. Stacksync's field mapping accounts for these differences between Google Cloud Platform and Microsoft Graph 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 Google Cloud Platform and Microsoft Graph records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Google Cloud Platform and Microsoft Graph connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Google Cloud Platform–Microsoft Graph integration in-house.
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 351 integrations available for Google Cloud Platform and Microsoft Graph.