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Security and identity ⇄ Database

Azure Active Directory to Firebase integration — real-time, two-way sync

Keep Azure Active Directory and Firebase 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 Firebase

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

Azure 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. Firebase 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 Realtime Database Nodes, Authentication Users, Cloud Storage Objects, Cloud Functions Triggers in Firebase with Directory roles, Devices, Users, Groups in Azure 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 Write CRM-side changes (plan, status, owner) back into Firestore documents the app reads.
  • 02 Combine Firebase Authentication users with billing and CRM records into one customer table.
  • 03 Sync manager, department, and jobTitle from an HRIS back onto Entra ID User attributes to keep dynamic groups and Conditional Access accurate.
  • 04 Replicate Groups and their Members into a Postgres warehouse for access reviews and entitlement reporting.

Common sync patterns

Provision accounts from the source of truth

When a person is added to the employee, member, or customer table in Firebase, Stacksync creates the matching user in Azure Active Directory with the right attributes, so access starts from live data instead of a manual ticket.

Deprovision the moment the record changes

When someone is marked inactive or removed in Firebase, the matching account in Azure Active Directory is disabled within seconds, closing the window between a departure and a login that still works.

Read users and groups as ordinary tables

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

What you can sync between Azure Active Directory and Firebase

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 Firebase objects How this pairing syncs
Applications App registrations under /applications; usually read into a database or CMDB for app ownership and credential-expiry tracking. Firestore Documents Schemaless JSON-like records, the primary unit synced to and from external systems. Applications is specific to Azure Active Directory and Firestore Documents to Firebase — 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. Subcollections Nested collections under documents, typically flattened into related tables during sync. Service principals is specific to Azure Active Directory and Subcollections to Firebase — 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. Realtime Database Nodes JSON tree paths in the older Realtime Database, synced by path. Directory roles is specific to Azure Active Directory and Realtime Database Nodes to Firebase — 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. Authentication Users User accounts read into CRMs and warehouses for customer records. Devices is specific to Azure Active Directory and Authentication Users to Firebase — 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. Cloud Storage Objects Files referenced from documents; usually synced as metadata plus URLs. Users is specific to Azure Active Directory and Cloud Storage Objects to Firebase — each maps to any object or custom field on the other side.
Groups /groups covering security and Microsoft 365 groups; created, updated, and deleted through Graph, and read into warehouses for entitlement reporting. Cloud Functions Triggers Server-side hooks that fire on document changes and can push updates outward. Groups is specific to Azure Active Directory and Cloud Functions Triggers to Firebase — each maps to any object or custom field on the other side.

How changes propagate between Azure Active Directory and Firebase

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 Firebase 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 written to Firebase through its API, with automatic retries and rate-limit backoff.

Firebase Azure Active Directory Interval-based propagation

DetectionStacksync polls Firebase for changes on an incremental schedule, reading only records changed since the previous pass. Real-time snapshot listeners on Firestore queries and Cloud Functions triggers on document changes.

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.
  • Firebase: Subject to Firestore's documented operation quotas and per-document write throughput limits.
What ships with Azure Active Directory ⇄ Firebase

Connect Azure Active Directory and Firebase for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Azure Active Directory or Firebase 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 Firebase 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 Firebase record.

Observability

Monitoring

Track your Azure Active Directory ⇄ Firebase 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 Firebase.

How the Azure Active Directory and Firebase 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

Firebase

Integration surface
REST and gRPC APIs, typically accessed through the Firebase Admin SDK
Authentication
Google service account credentials (IAM) for server-side access; Firebase Auth tokens for client contexts
Change detection
Real-time snapshot listeners on Firestore queries and Cloud Functions triggers on document changes
Capabilities
read · write
Rate limits
Subject to Firestore's documented operation quotas and per-document write throughput limits
How it works

How to connect Azure Active Directory to Firebase — 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 Firebase 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
    Firebase connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Azure Active Directory and Firebase 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 ⇄ Firebase
    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 Firebase
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Azure Active Directory and Firebase 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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 530 integrations available for Azure Active Directory and Firebase.

Popular · 8 of 530
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