Real-time
Two-way sync
Changes in Azure Active Directory or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Security and identity ⇄ Database
Azure Active Directory to Postgres Heroku integration — real-time, two-way sync
Keep Azure 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
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 Azure Active Directory and Postgres Heroku
Close the gap between your application data and your directory: Postgres Heroku and Azure Active Directory share users, groups, and access in real time, in both directions.
Azure 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 Sequences, Follower Databases, Tables, Views in Postgres Heroku with Applications, Service principals, Directory roles, Devices in Azure 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 Reflect billing and subscription records into the app database so product logic reads local rows
- 02 Expose CRM objects as Postgres tables the Heroku application can query and join directly
- 03 Replicate Groups and their Members into a Postgres warehouse for access reviews and entitlement reporting.
- 04 Mirror Applications and Service principals into a database or CMDB to track app ownership and credential expiry.
Common sync patterns
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 Azure 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 Postgres Heroku, the matching account in Azure Active Directory is disabled within seconds, closing the window between a departure and a login that still works.
What you can sync between Azure 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.
| Azure Active Directory objects | Postgres Heroku objects | How this pairing syncs | |
|---|---|---|---|
| Group memberships Member and owner relationships on /groups/{id}/members; added and removed via the $ref endpoint and tracked for changes with delta query on $select=members. | Materialized Views Precomputed result sets synced outward on refresh. | Group memberships is specific to Azure Active Directory and Materialized Views to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Applications App registrations under /applications; usually read into a database or CMDB for app ownership and credential-expiry tracking. | Schemas Namespaces that scope which tables a sync reads and writes. | Applications is specific to Azure Active Directory and Schemas to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Service principals /servicePrincipals (enterprise apps) plus appRoleAssignments; read for app inventory and access-posture reporting. | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Service principals is specific to Azure Active Directory and Primary and Unique Keys to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Directory roles /directoryRoles and roleManagement assignments; read for privileged-access reviews, with role-assignment writes where the granted scopes permit. | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | Directory roles is specific to Azure Active Directory and JSONB Columns to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Devices /devices registered or joined to the tenant; typically read-only into asset and security databases. | Sequences Generate surrogate keys for rows created by inbound syncs. | Devices is specific to Azure Active Directory and Sequences to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Users /users in Microsoft Graph; synced two-way — profile attributes, accountEnabled, and assignedLicenses are read out while provisioning writes (create, update, disable, delete) are pushed back. | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Users is specific to Azure Active Directory and Follower Databases to Postgres Heroku — each maps to any object or custom field on the other side. |
How changes propagate between Azure 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.
Azure Active Directory Postgres Heroku Sub-second propagation
DetectionAzure Active Directory notifies Stacksync of record changes through webhook events. Microsoft Graph delta query (deltaLink tokens returning only changed users and groups, with @removed deletions) paired with change-notification.
DeliveryEach detected change is applied to Postgres Heroku as a row-level write, with types converted between the two schemas.
Postgres Heroku Azure 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 Azure Active Directory through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Azure Active Directory: Resource-unit throttling: roughly 8,000 ResourceUnits per 10 seconds per app for reads on tenants over 500 users, writes near 3,000 requests per 2.5 minutes; 429 responses include a Retry-After header.
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with Azure Active Directory ⇄ Postgres Heroku
Connect Azure Active Directory and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Active Directory–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Azure 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 Azure Active Directory or Postgres Heroku record.
Observability
Monitoring
Track your Azure 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 Azure Active Directory and Postgres Heroku.
How the Azure Active Directory and Postgres Heroku connectors work
Azure Active Directory
- Integration surface
- Microsoft Graph REST API (v1.0)
- Authentication
- OAuth 2.0 via the Microsoft identity platform using an Entra ID app registration; app-only (client credentials) or delegated flows, with directory scopes such as User.ReadWrite.All and Group.ReadWrite.All requiring tenant admin consent
- Change detection
- Microsoft Graph delta query (deltaLink tokens returning only changed users and groups, with @removed deletions) paired with change-notification webhook subscriptions for near-real-time push
- Capabilities
- read · write · webhooks
- Rate limits
- Resource-unit throttling: roughly 8,000 ResourceUnits per 10 seconds per app for reads on tenants over 500 users, writes near 3,000 requests per 2.5 minutes; 429 responses include a Retry-After header
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 Azure 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 Azure 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.
Azure Active Directory
connected
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Azure 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 · Azure 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.
Azure Active Directory Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Azure Active Directory and Postgres Heroku integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Azure Active Directory and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Azure Active Directory's Group memberships and Applications), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
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 Azure Active Directory and Postgres Heroku records are not retained after a sync operation.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Azure Active Directory and Postgres Heroku connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure Active Directory–Postgres Heroku integration in-house.
-
Yes — Stacksync ships production-grade connectors for both Azure Active Directory and Postgres Heroku. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on Azure Active Directory: Microsoft Graph delta query (deltaLink tokens returning only changed users and groups, with @removed deletions) paired with change-notification webhook subscriptions for near-real-time push. On Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Postgres Heroku side: Sequences, Follower Databases, Tables, Views, plus custom fields where Postgres Heroku exposes them. On the Azure Active Directory side: Applications, Service principals, Directory roles, Devices. 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 446 integrations available for Azure Active Directory and Postgres Heroku.
Popular · 8 of 446
-
Azure Active Directory ⇄ Redis Enterprise -
Azure Active Directory ⇄ SAP ASE (Sybase) -
Azure Active Directory ⇄ Scaleway Postgres -
Azure Active Directory ⇄ TiDB -
Postgres Heroku ⇄ Onelogin -
Postgres Heroku ⇄ Auth0 -
Postgres Heroku ⇄ Jumpcloud - Postgres Heroku ⇄ Active Directory
No integrations match .
