Real-time
Two-way sync
Changes in Active Directory or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Security and identity ⇄ Database
Active Directory to Scaleway Postgres integration — real-time, two-way sync
Keep 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
Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Active Directory and Scaleway Postgres
Close the gap between your application data and your directory: Scaleway Postgres 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. 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 Views, Materialized views, Schemas, Sequences in Scaleway Postgres 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 Run a two-way sync between Scaleway Postgres and SaaS tools so edits made in either system converge on the same rows
- 02 Replicate the application database into a warehouse for analytics without writing custom pipelines
- 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
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 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 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 Active Directory land in Scaleway 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 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.
| Active Directory objects | Scaleway Postgres objects | How this pairing syncs | |
|---|---|---|---|
| Organizational units On-prem AD DS containers (LDAP organizationalUnit) used to scope which users and groups a sync includes. | Schemas Namespace tables so multiple applications or environments can be synced selectively. | Organizational units is specific to Active Directory and Schemas to Scaleway Postgres — 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. | Sequences Generate primary keys; sync tooling must respect them when writing rows. | Organizational contacts is specific to Active Directory and Sequences to Scaleway Postgres — 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. | Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | Users is specific to Active Directory and Columns to Scaleway Postgres — 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. | Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | Groups is specific to Active Directory and Tables to Scaleway Postgres — 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. | Views Read-only sources for shaping data before it leaves the database. | Group memberships is specific to Active Directory and Views to Scaleway Postgres — 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. | Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | Devices is specific to Active Directory and Materialized views to Scaleway Postgres — each maps to any object or custom field on the other side. |
How changes propagate between 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.
Active Directory Scaleway Postgres 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 Scaleway Postgres as a row-level write, with types converted between the two schemas.
Scaleway Postgres 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 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.
- Scaleway Postgres: Throughput is bounded by instance size and connection limits rather than API quotas.
What ships with Active Directory ⇄ Scaleway Postgres
Connect Active Directory and Scaleway Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Active Directory–Scaleway Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever 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 Active Directory or Scaleway Postgres record.
Observability
Monitoring
Track your 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 Active Directory and Scaleway Postgres.
How the Active Directory and Scaleway Postgres 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.
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 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 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.
Active Directory
connected
Scaleway Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the 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 · 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.
Active Directory Scaleway PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Active Directory and Scaleway Postgres integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Active Directory and Scaleway Postgres: authenticate both systems, choose the objects to sync (such as Active Directory's Organizational units and Organizational contacts), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Yes — Stacksync ships production-grade connectors for both 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 Active Directory: 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. 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.
-
On the Scaleway Postgres side: Views, Materialized views, Schemas, Sequences, plus custom fields where Scaleway Postgres exposes them. On the Active Directory side: Groups, Group memberships, Devices, Directory roles. Stacksync auto-detects both schemas and converts types between the two systems.
-
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.
-
Common patterns for Active Directory and Scaleway 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 Scaleway Postgres, Stacksync creates the matching user in 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 441 integrations available for Active Directory and Scaleway Postgres.
Popular · 8 of 441
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Active Directory ⇄ DuckDB -
Active Directory ⇄ Elasticsearch -
Active Directory ⇄ Google Cloud Spanner - Active Directory ⇄ Google Cloud SQL
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Scaleway Postgres ⇄ Auth0 -
Scaleway Postgres ⇄ Jumpcloud - Scaleway Postgres ⇄ Azure Active Directory
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Scaleway Postgres ⇄ Okta
No integrations match .
