Real-time
Two-way sync
Changes in Active Directory or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Security and identity ⇄ Database
Active Directory to Postgres Heroku integration — real-time, two-way sync
Keep Active Directory and Postgres Heroku 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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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Active Directory and Postgres Heroku
Close the gap between your application data and your directory: Postgres Heroku 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. Postgres Heroku 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 Materialized Views, Schemas, Primary and Unique Keys, JSONB Columns in Postgres Heroku with Directory roles, Service principals & applications, Organizational units, Organizational contacts 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 Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
- 02 Keep several Heroku app databases aligned with one system of record
- 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 Postgres Heroku, 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 Postgres Heroku
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 | Postgres Heroku objects | How this pairing syncs | |
|---|---|---|---|
| Organizational contacts Directory contact objects (orgContact); synced for shared address-book and CRM person records. | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Organizational contacts is specific to Active Directory and Follower Databases to Postgres Heroku — 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 Standard Postgres tables; the primary two-way sync target for app data. | Users is specific to Active Directory and Tables to Postgres Heroku — 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-side projections exposed to outbound syncs. | Groups is specific to Active Directory and Views to Postgres Heroku — 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. | Materialized Views Precomputed result sets synced outward on refresh. | Group memberships is specific to Active Directory and Materialized Views to Postgres Heroku — 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. | Schemas Namespaces that scope which tables a sync reads and writes. | Devices is specific to Active Directory and Schemas to Postgres Heroku — 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. | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Directory roles is specific to Active Directory and Primary and Unique Keys to Postgres Heroku — each maps to any object or custom field on the other side. |
How changes propagate between Active Directory and Postgres Heroku
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 Postgres Heroku 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 Postgres Heroku as a row-level write, with types converted between the two schemas.
Postgres Heroku Active Directory Interval-based propagation
DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.
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.
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with Active Directory ⇄ Postgres Heroku
Connect Active Directory and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Active Directory–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Active Directory or Postgres Heroku 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 Postgres Heroku record.
Observability
Monitoring
Track your Active Directory ⇄ Postgres Heroku 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 Postgres Heroku.
How the Active Directory and Postgres Heroku 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.
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works
How to connect Active Directory to Postgres Heroku — 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 Postgres Heroku 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
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Active Directory and Postgres Heroku 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 ⇄ Postgres HerokuCustomers 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 Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Active Directory and Postgres Heroku integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Active Directory and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Active Directory's Organizational contacts and Users), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
On the Postgres Heroku side: Materialized Views, Schemas, Primary and Unique Keys, JSONB Columns, plus custom fields where Postgres Heroku exposes them. On the Active Directory side: Directory roles, Service principals & applications, Organizational units, Organizational contacts. 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.
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Common patterns for Active Directory and Postgres Heroku: 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. Postgres Heroku: SQL wire protocol (standard PostgreSQL). Authentication: Database credentials from the Heroku DATABASE_URL config var; SSL required. Stacksync manages authentication, retries, and rate limits on both sides.
-
Postgres Heroku: Heroku Postgres is standard PostgreSQL, so any Postgres client, driver, or SQL tool connects unchanged. 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 Postgres Heroku 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 446 integrations available for Active Directory and Postgres Heroku.
Popular · 8 of 446
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Active Directory ⇄ Reltio -
Active Directory ⇄ SAP Hana -
Active Directory ⇄ Jdbc -
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Postgres Heroku ⇄ Onelogin -
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Postgres Heroku ⇄ Jumpcloud - Postgres Heroku ⇄ Azure Active Directory
No integrations match .
