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Security and identity ⇄ Database

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

Keep Active Directory and Google Cloud SQL in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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

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Why teams connect Active Directory and Google Cloud SQL

Close the gap between your application data and your directory: Google Cloud SQL and Active Directory share users, groups, and access in real time, in both directions.

Active Directory is the system of record for who people are and what they can reach: users, the groups they belong to, and the applications assigned to them. Google Cloud SQL holds the operational data those same people show up in, whether an employee or member table that decides who should have an account at all, a customers list, or the rows an application checks before it authorizes an action. The two describe overlapping users and groups, and when a nightly export or a hand-run script is all that connects them, accounts lag joiners and leavers and the application authorizes against a stale picture of who has access.

Stacksync syncs Rows, Views, Transaction logs, Instances in Google Cloud SQL with Groups, Group memberships, Devices, Directory roles in Active Directory field by field, in real time, and in both directions. You decide which system owns which fields, with the directory holding credentials and group membership and the database holding the source list of people who should exist at all, and Stacksync keeps every copy consistent, resolving conflicts by rules you set. A person added to a table becomes an account within seconds, a departure disables one just as fast, and the directory's users and groups are always present in your tables as ordinary rows.

Common use cases

  • 01 Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.
  • 02 Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.
  • 03 Read Devices and service principals into a database for identity, asset, and license inventory across the tenant.
  • 04 Two-way sync Users and Groups between Microsoft Entra ID and an HRIS or Postgres so joiners, movers, and leavers provision and deprovision automatically.

Common sync patterns

Read users and groups as ordinary tables

Users, groups, and their memberships from Active Directory land in Google Cloud SQL as rows your application and queries can join, so authorization checks and access reporting run against the database instead of the directory API.

Keep group and role membership aligned

A group or role change made in either system updates the other, so the entitlements an application enforces match what the directory grants.

One profile, kept current

A name, department, email, or manager corrected in either system updates the other, so the profile the directory shows and the data the application reads stop drifting apart.

What you can sync between Active Directory and Google Cloud SQL

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.

Active Directory objects Google Cloud SQL objects How this pairing syncs
Users User accounts in Entra ID and on-prem AD DS; synced two-way to create, update attributes, and enable or disable accounts. Rows Read and written by primary key during each sync cycle. Users is specific to Active Directory and Rows to Google Cloud SQL — each maps to any object or custom field on the other side.
Groups Security and Microsoft 365 groups; synced two-way including name, type, and owner, with membership tracked separately. Views Read-only sources for shaping data before syncing it out. Groups is specific to Active Directory and Views to Google Cloud SQL — each maps to any object or custom field on the other side.
Group memberships Member and owner links between users and groups; membership add/remove changes are surfaced by delta query. Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. Group memberships is specific to Active Directory and Transaction logs to Google Cloud SQL — each maps to any object or custom field on the other side.
Devices Registered and joined device objects; typically read into a database for inventory and compliance reporting. Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. Devices is specific to Active Directory and Instances to Google Cloud SQL — each maps to any object or custom field on the other side.
Directory roles Admin role assignments (directoryRole); read for access reviews and least-privilege governance. Databases Scope the tables included in a sync configuration. Directory roles is specific to Active Directory and Databases to Google Cloud SQL — each maps to any object or custom field on the other side.
Service principals & applications App registrations and enterprise apps; read-mostly for entitlement and license inventory. Schemas Namespace tables in PostgreSQL and SQL Server instances. Service principals & applications is specific to Active Directory and Schemas to Google Cloud SQL — each maps to any object or custom field on the other side.

How changes propagate between Active Directory and Google Cloud SQL

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.

Active Directory Google Cloud SQL Sub-second propagation

DetectionActive Directory notifies Stacksync of record changes through webhook events. Microsoft Graph delta query (change tracking) for Users and Groups, plus change-notification subscriptions (webhooks) for near-real-time triggers.

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

Google Cloud SQL Active Directory Sub-second propagation

DetectionChanges in Google Cloud SQL are captured at the source via change data capture — no polling loop against its API. Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking.

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

Rate-limit considerations

  • Active Directory: Graph throttles by resource-unit cost per app per tenant in 10-second windows (about 3,500–8,000 units by tenant size); directory delta tokens expire after ~7 days.
  • Google Cloud SQL: Constrained by instance size and connection limits rather than API quotas.
What ships with Active Directory ⇄ Google Cloud SQL

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Active Directory or Google Cloud SQL 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 Active Directory or Google Cloud SQL record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Active Directory and Google Cloud SQL connectors work

Active Directory

Integration surface
Microsoft Graph REST API (Entra ID / cloud) and LDAP/LDAPS (on-premises AD DS)
Authentication
OAuth 2.0 via the Microsoft identity platform — an app registration with application or delegated permissions (e.g. User.ReadWrite.All, Group.ReadWrite.All) and admin consent; on-prem AD DS uses a bound service account over LDAPS.
Change detection
Microsoft Graph delta query (change tracking) for Users and Groups, plus change-notification subscriptions (webhooks) for near-real-time triggers; on-prem AD DS uses the DirSync control and uSNChanged polling.
Capabilities
read · write · webhooks
Rate limits
Graph throttles by resource-unit cost per app per tenant in 10-second windows (about 3,500–8,000 units by tenant size); directory delta tokens expire after ~7 days.

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.
How it works

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

    Choose tables

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

Active Directory and Google Cloud SQL 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.

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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 433 integrations available for Active Directory and Google Cloud SQL.

Popular · 8 of 433
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