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Database ⇄ Business productivity

Google Cloud SQL to Microsoft 365 integration — real-time, two-way sync

Keep Google Cloud SQL and Microsoft 365 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 Google Cloud SQL and Microsoft 365

Mirror Microsoft 365's data into Google Cloud SQL so your own code can read and write it like any other table, with changes flowing both ways in seconds.

Engineers integrate with tools like Microsoft 365 through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Google Cloud SQL.

Stacksync mirrors OneDrive Files (driveItems), SharePoint Sites & Lists, Teams, Planner & To Do Tasks from Microsoft 365 into Transaction logs, Instances, Databases, Schemas in Google Cloud SQL and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Microsoft 365, so the tool and the database never disagree.

Common use cases

  • Mirror calendar events into scheduling or CRM tools so meetings appear on customer timelines.
  • Sync SharePoint lists with operational databases so business users edit in SharePoint while systems read SQL.
  • Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.
  • Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.

Automate Microsoft 365 from your codebase

Write to the synced tables in Google Cloud SQL and Stacksync propagates the change into Microsoft 365, replacing custom integration code.

React to changes as they happen

Updates in Microsoft 365 arrive as row changes in Google Cloud SQL, so triggers, jobs, and services can respond in near real time.

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

What you can sync between Google Cloud SQL and Microsoft 365

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 SQL objects Microsoft 365 objects
Databases Scope the tables included in a sync configuration. SharePoint Sites & Lists List items read and written like lightweight database tables.
Schemas Namespace tables in PostgreSQL and SQL Server instances. Teams Team and membership data provisioned from upstream systems.
Tables Mapped directly to sync targets; schema changes can be propagated. Planner & To Do Tasks Task items synced with project and work-management tools.
Rows Read and written by primary key during each sync cycle. Users Entra ID user accounts synced with HR and identity systems.
Views Read-only sources for shaping data before syncing it out. Groups Microsoft 365 and security groups kept aligned with org structure and access rules.
Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. Mail Messages Exchange Online messages read for logging, archiving, or activity capture.
What ships with Google Cloud SQL ⇄ Microsoft 365

Connect Google Cloud SQL and Microsoft 365 for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud SQL–Microsoft 365 connection.

Real-time

Two-way sync

Changes in Google Cloud SQL or Microsoft 365 instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Google Cloud SQL or Microsoft 365 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 Google Cloud SQL or Microsoft 365 record.

Observability

Monitoring

Track your Google Cloud SQL ⇄ Microsoft 365 sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Google Cloud SQL and Microsoft 365.

How the Google Cloud SQL and Microsoft 365 connectors work

Google Cloud SQL

Integration surface
Native SQL wire protocols (MySQL, PostgreSQL, SQL Server) plus a REST admin API for instance management
Authentication
Database credentials; IAM database authentication is available for MySQL and PostgreSQL
Change detection
Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking; polling as a fallback
Capabilities
read · write · CDC
Rate limits
Constrained by instance size and connection limits rather than API quotas.

Microsoft 365

Integration surface
REST API (Microsoft Graph)
Authentication
OAuth 2.0 via Microsoft Entra ID, with delegated or application permissions
Change detection
Graph change notifications (webhooks) plus delta queries for incremental sync
Capabilities
read · write · webhooks
How it works

How to connect Google Cloud SQL to Microsoft 365 — 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 Google Cloud SQL and Microsoft 365 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
    Google Cloud SQL connected
    Microsoft 365 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google Cloud SQL and Microsoft 365 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 · Google Cloud SQL ⇄ Microsoft 365
    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
    Google Cloud SQL Microsoft 365
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Google Cloud SQL and Microsoft 365 integration FAQ

SECURITY

Security teams love 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
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
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 386 integrations available for Google Cloud SQL and Microsoft 365.

Popular · 8 of 386
All Google Cloud SQL integrations All Microsoft 365 integrations Browse all integrations
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