Real-time
Two-way sync
Changes in Active Directory or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Security and identity ⇄ Database
Active Directory to MongoDB integration — real-time, two-way sync
Keep 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.
- 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 Active Directory and MongoDB
Close the gap between your application data and your directory: MongoDB 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. 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 Change streams, GridFS files, Databases, Collections in MongoDB with Organizational units, Organizational contacts, Users, Groups 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 Consolidate documents from multiple clusters or tenants into a single warehouse-facing store.
- 02 Sync MongoDB collections with a CRM so customer documents written by the application appear as CRM records, and CRM edits flow back as document updates.
- 03 Read Users, Groups, and directoryRole assignments into a warehouse for periodic access reviews and SOC 2 audit evidence.
- 04 Keep security-group memberships aligned with application entitlement tables so access reflects the right teams as they change.
Common sync patterns
Read users and groups as ordinary tables
Users, groups, and their memberships from 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 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.
| Active Directory objects | MongoDB objects | How this pairing syncs | |
|---|---|---|---|
| Devices Registered and joined device objects; typically read into a database for inventory and compliance reporting. | Views Read-only aggregation-defined sources for filtered sync datasets. | Devices is specific to Active Directory and Views to MongoDB — 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. | Change streams The oplog-backed event feed that powers real-time change capture. | Directory roles is specific to Active Directory and Change streams to MongoDB — 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. | GridFS files Chunked file storage whose metadata can be referenced by synced documents. | Service principals & applications is specific to Active Directory and GridFS files to MongoDB — each maps to any object or custom field on the other side. | |
| Organizational units On-prem AD DS containers (LDAP organizationalUnit) used to scope which users and groups a sync includes. | Databases Logical groupings of collections that scope a sync connection. | Organizational units is specific to Active Directory and Databases to MongoDB — each maps to any object or custom field on the other side. | |
| Organizational contacts Directory contact objects (orgContact); synced for shared address-book and CRM person records. | Collections The table-like sync unit; each collection maps to a table or object in the paired system. | Organizational contacts is specific to Active Directory and Collections to MongoDB — each maps to any object or custom field on the other side. | |
| Users User accounts in Entra ID and on-prem AD DS; synced two-way to create, update attributes, and enable or disable accounts. | Documents BSON records created, updated, and deleted during syncs, keyed by _id. | Users is specific to Active Directory and Documents to MongoDB — each maps to any object or custom field on the other side. |
How changes propagate between 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.
Active Directory MongoDB 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 MongoDB as a row-level write, with types converted between the two schemas.
MongoDB 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 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.
What ships with Active Directory ⇄ MongoDB
Connect Active Directory and MongoDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Active Directory–MongoDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever 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 Active Directory or MongoDB record.
Observability
Monitoring
Track your 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 Active Directory and MongoDB.
How the Active Directory and MongoDB 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.
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
How it works
How to connect 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.
- 01
Connect your apps
Authenticate 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.
Active Directory
connected
MongoDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the 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.
objects · Active Directory ⇄ MongoDBCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Active Directory MongoDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Active Directory and MongoDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Active Directory and MongoDB: authenticate both systems, choose the objects to sync (such as Active Directory's Devices and Directory roles), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Active Directory and MongoDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Active Directory–MongoDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Active Directory and MongoDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Active Directory: 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. On MongoDB: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the MongoDB side: Change streams, GridFS files, Databases, Collections, plus custom fields where MongoDB exposes them. On the Active Directory side: Organizational units, Organizational contacts, Users, Groups. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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 538 integrations available for Active Directory and MongoDB.
Popular · 8 of 538
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Active Directory ⇄ Couchbase -
Active Directory ⇄ DuckDB -
Active Directory ⇄ Elasticsearch -
Active Directory ⇄ Google Cloud Spanner -
MongoDB ⇄ Jumpcloud - MongoDB ⇄ Azure Active Directory
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MongoDB ⇄ Okta -
MongoDB ⇄ Onelogin
No integrations match .
