Real-time
Two-way sync
Changes in Active Directory or AWS Aurora PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Security and identity ⇄ Database
Active Directory to AWS Aurora PostgreSQL integration — real-time, two-way sync
Keep Active Directory and AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL
Close the gap between your application data and your directory: AWS Aurora PostgreSQL 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. AWS Aurora PostgreSQL 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 Columns, Primary keys and constraints, Views and materialized views, Foreign keys in AWS Aurora PostgreSQL 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 Capture row-level changes with logical replication and propagate them to SaaS tools without batch jobs.
- 02 Sync JSONB-heavy application data into structured objects in downstream business systems.
- 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
Provision accounts from the source of truth
When a person is added to the employee, member, or customer table in AWS Aurora PostgreSQL, Stacksync creates the matching user in 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 AWS Aurora PostgreSQL, the matching account in 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 Active Directory land in AWS Aurora PostgreSQL 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 Active Directory and AWS Aurora PostgreSQL
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 | AWS Aurora PostgreSQL objects | How this pairing syncs | |
|---|---|---|---|
| Groups Security and Microsoft 365 groups; synced two-way including name, type, and owner, with membership tracked separately. | Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Groups is specific to Active Directory and Databases and schemas to AWS Aurora PostgreSQL — 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. | Tables The core sync unit; rows are matched across systems by primary key. | Group memberships is specific to Active Directory and Tables to AWS Aurora PostgreSQL — 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. | Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Devices is specific to Active Directory and Rows to AWS Aurora PostgreSQL — 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. | Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Directory roles is specific to Active Directory and Columns to AWS Aurora PostgreSQL — 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. | Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Service principals & applications is specific to Active Directory and Primary keys and constraints to AWS Aurora PostgreSQL — 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. | Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Organizational units is specific to Active Directory and Views and materialized views to AWS Aurora PostgreSQL — each maps to any object or custom field on the other side. |
How changes propagate between Active Directory and AWS Aurora PostgreSQL
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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL as a row-level write, with types converted between the two schemas.
AWS Aurora PostgreSQL Active Directory Sub-second propagation
DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.
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 ⇄ AWS Aurora PostgreSQL
Connect Active Directory and AWS Aurora PostgreSQL for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Active Directory–AWS Aurora PostgreSQL connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Active Directory or AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL record.
Observability
Monitoring
Track your Active Directory ⇄ AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL.
How the Active Directory and AWS Aurora PostgreSQL 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.
AWS Aurora PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
- Capabilities
- read · write · CDC
How it works
How to connect Active Directory to AWS Aurora PostgreSQL — 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 AWS Aurora PostgreSQL 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
AWS Aurora PostgreSQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Active Directory and AWS Aurora PostgreSQL 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 ⇄ AWS Aurora PostgreSQLCustomers 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 AWS Aurora PostgreSQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Active Directory and AWS Aurora PostgreSQL integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Active Directory and AWS Aurora PostgreSQL: authenticate both systems, choose the objects to sync (such as Active Directory's Groups and Group memberships), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Active Directory and AWS Aurora PostgreSQL records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Active Directory and AWS Aurora PostgreSQL connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Active Directory–AWS Aurora PostgreSQL integration in-house.
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Yes — Stacksync ships production-grade connectors for both Active Directory and AWS Aurora PostgreSQL. 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 AWS Aurora PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the AWS Aurora PostgreSQL side: Columns, Primary keys and constraints, Views and materialized views, Foreign keys, plus custom fields where AWS Aurora PostgreSQL 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.
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 450 integrations available for Active Directory and AWS Aurora PostgreSQL.
Popular · 8 of 450
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Active Directory ⇄ Neo4j -
Active Directory ⇄ OCI Database (Oracle Cloud) -
Active Directory ⇄ OpenSearch -
Active Directory ⇄ Oracle DB - AWS Aurora PostgreSQL ⇄ Azure Active Directory
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AWS Aurora PostgreSQL ⇄ Okta -
AWS Aurora PostgreSQL ⇄ Onelogin -
AWS Aurora PostgreSQL ⇄ Auth0
No integrations match .
