Real-time
Two-way sync
Changes in Azure Active Directory or Render Postgres instantly reflect in both systems. No stale data, no manual imports.
Security and identity ⇄ Database
Azure Active Directory to Render Postgres integration — real-time, two-way sync
Keep Azure Active Directory and Render Postgres 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 Azure Active Directory and Render Postgres
Close the gap between your application data and your directory: Render Postgres 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. Render Postgres 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 Tables, Views, Materialized Views, Schemas in Render Postgres with Directory roles, Devices, Users, Groups 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 Two-way sync CRM or ERP objects into Render Postgres tables so product and ops teams query business data with plain SQL.
- 02 Capture row-level changes via logical replication and propagate them to a warehouse or another database in near real time.
- 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
Provision accounts from the source of truth
When a person is added to the employee, member, or customer table in Render Postgres, 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 Render Postgres, the matching account in Azure 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 Azure Active Directory land in Render Postgres 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 Azure Active Directory and Render Postgres
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 | Render Postgres objects | How this pairing syncs | |
|---|---|---|---|
| Groups /groups covering security and Microsoft 365 groups; created, updated, and deleted through Graph, and read into warehouses for entitlement reporting. | Indexes and Constraints Primary keys, unique constraints, and foreign keys; unique keys drive idempotent upserts and conflict resolution during sync. | Groups is specific to Azure Active Directory and Indexes and Constraints to Render Postgres — each maps to any object or custom field on the other side. | |
| 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. | Tables Relational tables with full column typing; synced two-way with CRMs, ERPs, and SaaS apps so application data is queryable as plain Postgres rows. | Group memberships is specific to Azure Active Directory and Tables to Render Postgres — 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. | Views Saved queries exposed as read-only relations; read out to BI tools or downstream syncs without duplicating transformation logic. | Applications is specific to Azure Active Directory and Views to Render Postgres — 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. | Materialized Views Precomputed query results refreshed on demand; read for fast reporting tables that downstream systems can consume. | Service principals is specific to Azure Active Directory and Materialized Views to Render Postgres — 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. | Schemas Namespaces that organize tables per app or environment; sync targets are scoped per schema to keep synced data isolated and tidy. | Directory roles is specific to Azure Active Directory and Schemas to Render Postgres — 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. | Columns and Types Full Postgres type system including JSONB and arrays; field mappings preserve native types instead of flattening to strings. | Devices is specific to Azure Active Directory and Columns and Types to Render Postgres — each maps to any object or custom field on the other side. |
How changes propagate between Azure Active Directory and Render Postgres
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 Render Postgres 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 Render Postgres as a row-level write, with types converted between the two schemas.
Render Postgres Azure Active Directory Sub-second propagation
DetectionChanges in Render Postgres are captured at the source via change data capture — no polling loop against its API. Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the.
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.
- Render Postgres: No API rate limits — throughput is bounded by the instance's plan (CPU, RAM, connection limit); connection pooling is recommended since managed plans cap concurrent connections.
What ships with Azure Active Directory ⇄ Render Postgres
Connect Azure Active Directory and Render Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Active Directory–Render Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Azure Active Directory or Render Postgres 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 Render Postgres record.
Observability
Monitoring
Track your Azure Active Directory ⇄ Render Postgres 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 Render Postgres.
How the Azure Active Directory and Render Postgres 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
Render Postgres
- Integration surface
- PostgreSQL wire protocol (managed Postgres on Render)
- Authentication
- Standard Postgres connection string — host, port, database, user, password with TLS; Render provides internal and external connection URLs and IP allowlisting
- Change detection
- Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the fallback
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits — throughput is bounded by the instance's plan (CPU, RAM, connection limit); connection pooling is recommended since managed plans cap concurrent connections.
How it works
How to connect Azure Active Directory to Render Postgres — 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 Render Postgres 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
Render Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Azure Active Directory and Render Postgres 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 ⇄ Render PostgresCustomers 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 Render PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Azure Active Directory and Render Postgres integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Azure Active Directory and Render Postgres: authenticate both systems, choose the objects to sync (such as Azure Active Directory's Groups and Group memberships), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Azure Active Directory and Render Postgres. 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 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 Render Postgres: Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Render Postgres side: Tables, Views, Materialized Views, Schemas, plus custom fields where Render Postgres exposes them. On the Azure Active Directory side: Directory roles, Devices, Users, Groups. 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 Azure Active Directory and Render Postgres: Provision accounts from the source of truth; Deprovision the moment the record changes; Read users and groups as ordinary tables. When a person is added to the employee, member, or customer table in Render Postgres, Stacksync creates the matching user in Azure Active Directory with the right attributes, so access starts from live data instead of a manual ticket.
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 414 integrations available for Azure Active Directory and Render Postgres.
Popular · 8 of 414
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Azure Active Directory ⇄ Google AlloyDB -
Azure Active Directory ⇄ Dynamo DB -
Azure Active Directory ⇄ IBM Db2 -
Azure Active Directory ⇄ Firebase -
Render Postgres ⇄ Onelogin -
Render Postgres ⇄ Auth0 -
Render Postgres ⇄ Jumpcloud - Render Postgres ⇄ Active Directory
No integrations match .
