Real-time
Two-way sync
Changes in Azure Active Directory or DuckDB instantly reflect in both systems. No stale data, no manual imports.
Security and identity ⇄ Database
Azure Active Directory to DuckDB integration — real-time, two-way sync
Keep Azure Active Directory and DuckDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Azure Active Directory and DuckDB
Close the gap between your application data and your directory: DuckDB 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. DuckDB 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 Attached databases, Database files, Schemas, Tables in DuckDB with Groups, Group memberships, Applications, Service principals 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 Push aggregates computed in DuckDB out to a CRM or business tools so analysis results reach operational systems.
- 02 Use DuckDB as a transform step: read synced Parquet exports, aggregate with SQL, and write results back to an operational database.
- 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 DuckDB, 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 DuckDB, 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 DuckDB
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 | DuckDB 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. | Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage. | Directory roles is specific to Azure Active Directory and Database files to DuckDB — 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. | Schemas Namespaces within a database used to organize tables in sync outputs. | Devices is specific to Azure Active Directory and Schemas to DuckDB — 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 Columnar tables created via SQL; the destination for materialized sync data. | Users is specific to Azure Active Directory and Tables to DuckDB — 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 SQL views used to shape or filter data for downstream consumers. | Groups is specific to Azure Active Directory and Views to DuckDB — 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. | External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format. | Group memberships is specific to Azure Active Directory and External files (Parquet/CSV/JSON) to DuckDB — 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. | Attached databases Additional database files or external systems attached into one session for cross-source queries. | Applications is specific to Azure Active Directory and Attached databases to DuckDB — each maps to any object or custom field on the other side. |
How changes propagate between Azure Active Directory and DuckDB
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 DuckDB 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 DuckDB as a row-level write, with types converted between the two schemas.
DuckDB Azure Active Directory Interval-based propagation
DetectionStacksync polls DuckDB for changes on an incremental schedule, reading only records changed since the previous pass. Polling or full re-reads.
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.
- DuckDB: No API rate limits; throughput is bounded by local compute and I/O.
What ships with Azure Active Directory ⇄ DuckDB
Connect Azure Active Directory and DuckDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Active Directory–DuckDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Azure Active Directory or DuckDB 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 DuckDB record.
Observability
Monitoring
Track your Azure Active Directory ⇄ DuckDB 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 DuckDB.
How the Azure Active Directory and DuckDB 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
DuckDB
- Integration surface
- In-process SQL engine via client libraries (Python, Node.js, JDBC, CLI); no server or network API by default
- Authentication
- None built in; access control is file-system level (MotherDuck adds token auth for its hosted service)
- Change detection
- Polling or full re-reads; no change feed or transaction log API
- Capabilities
- read · write
- Rate limits
- No API rate limits; throughput is bounded by local compute and I/O
How it works
How to connect Azure Active Directory to DuckDB — 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 DuckDB 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
DuckDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Azure Active Directory and DuckDB 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 ⇄ DuckDBCustomers 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 DuckDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Azure Active Directory and DuckDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Azure Active Directory and DuckDB: 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.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Azure Active Directory and DuckDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure Active Directory–DuckDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Azure Active Directory and DuckDB. 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 DuckDB: Polling or full re-reads; no change feed or transaction log API. 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 DuckDB side: Attached databases, Database files, Schemas, Tables, plus custom fields where DuckDB exposes them. On the Azure Active Directory side: Groups, Group memberships, Applications, Service principals. 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.
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 DuckDB.
Popular · 8 of 446
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Azure Active Directory ⇄ SingleStore -
Azure Active Directory ⇄ Amazon Aurora -
Azure Active Directory ⇄ Amazon Lightsail -
Azure Active Directory ⇄ Apache Cassandra -
DuckDB ⇄ Okta -
DuckDB ⇄ Onelogin -
DuckDB ⇄ Auth0 -
DuckDB ⇄ Jumpcloud
No integrations match .
