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Security and identity ⇄ Database

Active Directory to Amazon Aurora integration — real-time, two-way sync

Keep Active Directory and Amazon Aurora 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Active Directory and Amazon Aurora

Close the gap between your application data and your directory: Amazon Aurora 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. Amazon Aurora 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 and Data Types, Primary and Foreign Keys, Read Replicas, Databases in Amazon Aurora with Groups, Group memberships, Devices, Directory roles 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 Two-way sync between Aurora application tables and a CRM so product data and account data stay consistent.
  • 02 Stream row-level changes from Aurora into a warehouse for near-real-time analytics without batch exports.
  • 03 Read Devices and service principals into a database for identity, asset, and license inventory across the tenant.
  • 04 Two-way sync Users and Groups between Microsoft Entra ID and an HRIS or Postgres so joiners, movers, and leavers provision and deprovision automatically.

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 Amazon Aurora, 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 Amazon Aurora

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 Amazon Aurora objects How this pairing syncs
Directory roles Admin role assignments (directoryRole); read for access reviews and least-privilege governance. Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. Directory roles is specific to Active Directory and Primary and Foreign Keys to Amazon Aurora — 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. Read Replicas Reader endpoints that syncs can target to keep load off the writer. Service principals & applications is specific to Active Directory and Read Replicas to Amazon Aurora — 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 databases within a cluster that scope a sync connection. Organizational units is specific to Active Directory and Databases to Amazon Aurora — 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. Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. Organizational contacts is specific to Active Directory and Schemas to Amazon Aurora — 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. Tables Relational tables synced bi-directionally at row level. Users is specific to Active Directory and Tables to Amazon Aurora — 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. Views Read-only query-backed sources for downstream syncs. Groups is specific to Active Directory and Views to Amazon Aurora — each maps to any object or custom field on the other side.

How changes propagate between Active Directory and Amazon Aurora

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 Amazon Aurora 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 Amazon Aurora as a row-level write, with types converted between the two schemas.

Amazon Aurora Active Directory Sub-second propagation

DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.

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.
  • Amazon Aurora: No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits.
What ships with Active Directory ⇄ Amazon Aurora

Connect Active Directory and Amazon Aurora for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Active Directory or Amazon Aurora instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Active Directory or Amazon Aurora 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 Amazon Aurora record.

Observability

Monitoring

Track your Active Directory ⇄ Amazon Aurora 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 Amazon Aurora.

How the Active Directory and Amazon Aurora 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.

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits
How it works

How to connect Active Directory to Amazon Aurora — 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 Active Directory and Amazon Aurora 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
    Active Directory connected
    Amazon Aurora connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Active Directory and Amazon Aurora 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 · Active Directory ⇄ Amazon Aurora
    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
    Active Directory Amazon Aurora
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Active Directory and Amazon Aurora 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 432 integrations available for Active Directory and Amazon Aurora.

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