Real-time
Two-way sync
Changes in Azure Active Directory or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Security and identity ⇄ Database
Azure Active Directory to Scaleway Postgres integration — real-time, two-way sync
Keep Azure Active Directory and Scaleway 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
Live sync
stacksync.com - <1s
- latency
- 2-way
- sync
- 100M+
- records
Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Azure Active Directory and Scaleway Postgres
Close the gap between your application data and your directory: Scaleway 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. Scaleway 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 Columns, Tables, Views, Materialized views in Scaleway Postgres with Devices, Users, Groups, Group memberships 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 Replicate the application database into a warehouse for analytics without writing custom pipelines
- 02 Back internal tools with the same Postgres instance while Stacksync keeps it consistent with external systems
- 03 Sync manager, department, and jobTitle from an HRIS back onto Entra ID User attributes to keep dynamic groups and Conditional Access accurate.
- 04 Replicate Groups and their Members into a Postgres warehouse for access reviews and entitlement reporting.
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 Scaleway 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 Scaleway Postgres, 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 Scaleway 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 | Scaleway Postgres objects | How this pairing syncs | |
|---|---|---|---|
| Directory roles /directoryRoles and roleManagement assignments; read for privileged-access reviews, with role-assignment writes where the granted scopes permit. | Sequences Generate primary keys; sync tooling must respect them when writing rows. | Directory roles is specific to Azure Active Directory and Sequences to Scaleway 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 Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | Devices is specific to Azure Active Directory and Columns to Scaleway Postgres — 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. | Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | Users is specific to Azure Active Directory and Tables to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Groups /groups covering security and Microsoft 365 groups; created, updated, and deleted through Graph, and read into warehouses for entitlement reporting. | Views Read-only sources for shaping data before it leaves the database. | Groups is specific to Azure Active Directory and Views to Scaleway 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. | Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | Group memberships is specific to Azure Active Directory and Materialized views to Scaleway 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. | Schemas Namespace tables so multiple applications or environments can be synced selectively. | Applications is specific to Azure Active Directory and Schemas to Scaleway Postgres — each maps to any object or custom field on the other side. |
How changes propagate between Azure Active Directory and Scaleway 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 Scaleway 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 Scaleway Postgres as a row-level write, with types converted between the two schemas.
Scaleway Postgres Azure Active Directory Sub-second propagation
DetectionChanges in Scaleway Postgres are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication where the managed instance permits it.
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.
- Scaleway Postgres: Throughput is bounded by instance size and connection limits rather than API quotas.
What ships with Azure Active Directory ⇄ Scaleway Postgres
Connect Azure Active Directory and Scaleway Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Active Directory–Scaleway Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Azure Active Directory or Scaleway 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 Scaleway Postgres record.
Observability
Monitoring
Track your Azure Active Directory ⇄ Scaleway 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 Scaleway Postgres.
How the Azure Active Directory and Scaleway 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
Scaleway Postgres
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials (username/password over TLS)
- Change detection
- Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is bounded by instance size and connection limits rather than API quotas
How it works
How to connect Azure Active Directory to Scaleway 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 Scaleway 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
Scaleway Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Azure Active Directory and Scaleway 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 ⇄ Scaleway 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 Scaleway PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Azure Active Directory and Scaleway Postgres integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Azure Active Directory and Scaleway Postgres: authenticate both systems, choose the objects to sync (such as Azure Active Directory's Directory roles and Devices), 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 Azure Active Directory and Scaleway Postgres 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 Azure Active Directory and Scaleway Postgres connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure Active Directory–Scaleway Postgres integration in-house.
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Yes — Stacksync ships production-grade connectors for both Azure Active Directory and Scaleway 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 Scaleway Postgres: Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling. 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 Scaleway Postgres side: Columns, Tables, Views, Materialized views, plus custom fields where Scaleway Postgres exposes them. On the Azure Active Directory side: Devices, Users, Groups, Group memberships. 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 441 integrations available for Azure Active Directory and Scaleway Postgres.
Popular · 8 of 441
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Azure Active Directory ⇄ PostgreSQL -
Azure Active Directory ⇄ Amazon RDS -
Azure Active Directory ⇄ Supabase -
Azure Active Directory ⇄ MySQL -
Scaleway Postgres ⇄ Okta -
Scaleway Postgres ⇄ Onelogin -
Scaleway Postgres ⇄ Auth0 -
Scaleway Postgres ⇄ Jumpcloud
No integrations match .
