Real-time
Two-way sync
Changes in Active Directory or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Security and identity ⇄ Database
Active Directory to Neo4j integration — real-time, two-way sync
Keep Active Directory and Neo4j 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
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Active Directory and Neo4j
Close the gap between your application data and your directory: Neo4j 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. Neo4j 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 Databases, Users & Roles, Nodes, Relationships in Neo4j with Group memberships, Devices, Directory roles, Service principals & applications 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 Keep a customer-360 graph continuously updated from ERP, CRM, and support sources.
- 02 Mirror CRM accounts and contacts into a graph to model buying-group and referral relationships.
- 03 Two-way sync Users and Groups between Microsoft Entra ID and an HRIS or Postgres so joiners, movers, and leavers provision and deprovision automatically.
- 04 Read Users, Groups, and directoryRole assignments into a warehouse for periodic access reviews and SOC 2 audit evidence.
Common sync patterns
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.
Provision accounts from the source of truth
When a person is added to the employee, member, or customer table in Neo4j, Stacksync creates the matching user in Active Directory with the right attributes, so access starts from live data instead of a manual ticket.
What you can sync between Active Directory and Neo4j
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 | Neo4j objects | How this pairing syncs | |
|---|---|---|---|
| Directory roles Admin role assignments (directoryRole); read for access reviews and least-privilege governance. | Labels Node type markers used to map source tables or objects onto the graph. | Directory roles is specific to Active Directory and Labels to Neo4j — 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. | Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | Service principals & applications is specific to Active Directory and Indexes & Constraints to Neo4j — 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 Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Organizational units is specific to Active Directory and Databases to Neo4j — 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. | Users & Roles Security principals controlling what an integration credential can query or modify. | Organizational contacts is specific to Active Directory and Users & Roles to Neo4j — 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. | Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Users is specific to Active Directory and Nodes to Neo4j — 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. | Relationships Typed, directed edges that carry the connections syncs exist to model. | Groups is specific to Active Directory and Relationships to Neo4j — each maps to any object or custom field on the other side. |
How changes propagate between Active Directory and Neo4j
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 Neo4j 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 written to Neo4j through its API, with automatic retries and rate-limit backoff.
Neo4j Active Directory Sub-second propagation
DetectionChanges in Neo4j are captured at the source via change data capture — no polling loop against its API. Neo4j Change Data Capture on Enterprise and Aura streams graph changes.
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 ⇄ Neo4j
Connect Active Directory and Neo4j for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Active Directory–Neo4j connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Active Directory or Neo4j 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 Neo4j record.
Observability
Monitoring
Track your Active Directory ⇄ Neo4j 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 Neo4j.
How the Active Directory and Neo4j 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.
Neo4j
- Integration surface
- Bolt binary protocol with Cypher via official drivers, plus an HTTP query API
- Authentication
- Username/password (basic auth); enterprise deployments add SSO options
- Change detection
- Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties
- Capabilities
- read · write · CDC
How it works
How to connect Active Directory to Neo4j — 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 Neo4j 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
Neo4j
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Active Directory and Neo4j 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 ⇄ Neo4jCustomers 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 Neo4jCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Active Directory and Neo4j integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Active Directory and Neo4j: authenticate both systems, choose the objects to sync (such as Active Directory's Directory roles and Service principals & applications), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
On the Neo4j side: Databases, Users & Roles, Nodes, Relationships, plus custom fields where Neo4j exposes them. On the Active Directory side: Group memberships, Devices, Directory roles, Service principals & applications. Stacksync auto-detects both schemas and converts types between the two systems.
-
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.
-
Common patterns for Active Directory and Neo4j: Keep group and role membership aligned; One profile, kept current; Provision accounts from the source of truth. A group or role change made in either system updates the other, so the entitlements an application enforces match what the directory grants.
-
Active Directory: 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. Neo4j: Bolt binary protocol with Cypher via official drivers, plus an HTTP query API. Authentication: Username/password (basic auth); enterprise deployments add SSO options. Stacksync manages authentication, retries, and rate limits on both sides.
-
Neo4j: Cypher is its declarative query language, and MERGE semantics give integrations a native upsert primitive for idempotent syncs. Active Directory: For hybrid users mastered on-premises, some attributes (e.g. userPrincipalName) cannot be changed in Entra ID because the object is sourced from AD DS. Stacksync's field mapping accounts for these differences between Active Directory and Neo4j without custom code.
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 515 integrations available for Active Directory and Neo4j.
Popular · 8 of 515
-
Active Directory ⇄ OCI Database (Oracle Cloud) -
Active Directory ⇄ OpenSearch -
Active Directory ⇄ Oracle DB -
Active Directory ⇄ RavenDB -
Neo4j ⇄ Onelogin -
Neo4j ⇄ Auth0 -
Neo4j ⇄ Jumpcloud - Neo4j ⇄ Azure Active Directory
No integrations match .
