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Security and identity ⇄ Database

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

Keep Azure Active Directory and MongoDB 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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Why teams connect Azure Active Directory and MongoDB

Close the gap between your application data and your directory: MongoDB 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. MongoDB 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 Documents, Embedded documents and arrays, Indexes, Views in MongoDB with Service principals, Directory roles, Devices, Users 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 Replicate operational MongoDB data into a relational database, flattening nested documents into normalized tables for SQL reporting.
  • 02 Capture change stream events and propagate them to SaaS tools in near real time instead of running batch exports.
  • 03 Provision and deprovision Entra ID Users and Group memberships from an HR system of record so account enablement follows employment status.
  • 04 Sync manager, department, and jobTitle from an HRIS back onto Entra ID User attributes to keep dynamic groups and Conditional Access accurate.

Common sync patterns

Read users and groups as ordinary tables

Users, groups, and their memberships from Azure Active Directory land in MongoDB 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 Azure Active Directory and MongoDB

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 MongoDB objects How this pairing syncs
Devices /devices registered or joined to the tenant; typically read-only into asset and security databases. Databases Logical groupings of collections that scope a sync connection. Devices is specific to Azure Active Directory and Databases to MongoDB — 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. Collections The table-like sync unit; each collection maps to a table or object in the paired system. Users is specific to Azure Active Directory and Collections to MongoDB — 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. Documents BSON records created, updated, and deleted during syncs, keyed by _id. Groups is specific to Azure Active Directory and Documents to MongoDB — each maps to any object or custom field on the other side.
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. Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. Group memberships is specific to Azure Active Directory and Embedded documents and arrays to MongoDB — 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. Indexes Keep lookups by sync key fast on large collections. Applications is specific to Azure Active Directory and Indexes to MongoDB — 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. Views Read-only aggregation-defined sources for filtered sync datasets. Service principals is specific to Azure Active Directory and Views to MongoDB — each maps to any object or custom field on the other side.

How changes propagate between Azure Active Directory and MongoDB

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 MongoDB 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 applied to MongoDB as a row-level write, with types converted between the two schemas.

MongoDB Azure Active Directory Sub-second propagation

DetectionChanges in MongoDB are captured at the source via change data capture — no polling loop against its API. MongoDB oplog and change streams (requires the database to run as a replica set — even single-node).

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.
What ships with Azure Active Directory ⇄ MongoDB

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

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

Real-time

Two-way sync

Changes in Azure Active Directory or MongoDB 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 MongoDB 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 MongoDB record.

Observability

Monitoring

Track your Azure Active Directory ⇄ MongoDB 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 MongoDB.

How the Azure Active Directory and MongoDB 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

MongoDB

Integration surface
MongoDB wire protocol via official drivers; Atlas additionally offers an administration REST API for cluster management
Authentication
Database credentials (username/password) or TLS/SSL X.509 certificate (.pem upload), entered individually or via a MongoDB connection string (SRV or standard); Stacksync IP allowlisting required
Change detection
MongoDB oplog and change streams (requires the database to run as a replica set — even single-node); Stacksync leverages these built-in tools to track changes in real time
Capabilities
read · write · CDC
MongoDB setup guide
How it works

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

    Choose tables

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

Azure Active Directory and MongoDB 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 538 integrations available for Azure Active Directory and MongoDB.

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