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Data warehouse ⇄ Security and identity

AWS S3 to Azure Active Directory integration — real-time, two-way sync

Keep AWS S3 and Azure Active Directory 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 AWS S3 and Azure Active Directory

Land the users, groups, and access events from Azure Active Directory in AWS S3 continuously for security analytics, and write computed results back — without building or maintaining a pipeline.

Azure Active Directory is the record of who exists and what they can reach; AWS S3 is where the business measures everything else. The two overlap on people and their access — the same users, groups, roles, and events that Azure Active Directory governs are what security, compliance, and analytics teams want to query in AWS S3. Getting them there usually means a brittle export that runs overnight and hands auditors a snapshot that is already out of date.

Stacksync syncs Groups, Group memberships, Applications, Service principals from Azure Active Directory into tables in AWS S3 in real time, and the connection works in both directions: values computed in AWS S3, such as risk scores or access-review decisions, can be written back to attributes in Azure Active Directory where the identity team acts on them. Schema changes are handled, API limits are managed, and the sync is something you configure rather than a pipeline you keep alive.

Common use cases

  • 01 Ingest partner or vendor file drops (CSV, JSON, Parquet) from a bucket into a database or CRM as records.
  • 02 Export synced operational data to S3 as files feeding a data lake or downstream batch jobs.
  • 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

Queryable history for audit and compliance

A continuously synced copy in AWS S3 gives you a durable, queryable record of identity and access state for access reviews, SOC 2, and audit questions.

Risk and review results back on the account

Risk scores, anomaly flags, or access-review outcomes computed in AWS S3 write back to attributes on the matching user in Azure Active Directory, where the identity team can act on them.

Directory data in the warehouse, minus the pipeline

Users, groups, and roles from Azure Active Directory arrive in AWS S3 as queryable tables, current within seconds instead of a nightly directory export.

What you can sync between AWS S3 and Azure Active Directory

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.

AWS S3 objects Azure Active Directory objects How this pairing syncs
Prefixes Key-name paths used to partition synced datasets, since S3 has no real directories. Groups /groups covering security and Microsoft 365 groups; created, updated, and deleted through Graph, and read into warehouses for entitlement reporting. Prefixes is specific to AWS S3 and Groups to Azure Active Directory — each maps to any object or custom field on the other side.
Object Metadata System and user-defined metadata read alongside object contents. 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. Object Metadata is specific to AWS S3 and Group memberships to Azure Active Directory — each maps to any object or custom field on the other side.
Object Versions Prior copies retained when versioning is enabled, relevant for reprocessing. Applications App registrations under /applications; usually read into a database or CMDB for app ownership and credential-expiry tracking. Object Versions is specific to AWS S3 and Applications to Azure Active Directory — each maps to any object or custom field on the other side.
Event Notifications Notifications on object creation or deletion that trigger incremental processing. Service principals /servicePrincipals (enterprise apps) plus appRoleAssignments; read for app inventory and access-posture reporting. Event Notifications is specific to AWS S3 and Service principals to Azure Active Directory — each maps to any object or custom field on the other side.
Access Points Scoped network endpoints used to grant a sync narrow access to a bucket. Directory roles /directoryRoles and roleManagement assignments; read for privileged-access reviews, with role-assignment writes where the granted scopes permit. Access Points is specific to AWS S3 and Directory roles to Azure Active Directory — each maps to any object or custom field on the other side.
Multipart Uploads The mechanism used to write large export files reliably. Devices /devices registered or joined to the tenant; typically read-only into asset and security databases. Multipart Uploads is specific to AWS S3 and Devices to Azure Active Directory — each maps to any object or custom field on the other side.

How changes propagate between AWS S3 and Azure Active Directory

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.

AWS S3 Azure Active Directory Sub-second propagation

DetectionAWS S3 notifies Stacksync of record changes through webhook events. S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge.

DeliveryEach detected change is written to Azure Active Directory through its API, with automatic retries and rate-limit backoff.

Azure Active Directory AWS S3 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 written to AWS S3 through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • AWS S3: Request throughput scales per prefix; sustained high-volume workloads should spread keys across prefixes.
  • 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.
What ships with AWS S3 ⇄ Azure Active Directory

Connect AWS S3 and Azure Active Directory for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS S3–Azure Active Directory connection.

Real-time

Two-way sync

Changes in AWS S3 or Azure Active Directory instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS S3 or Azure Active Directory 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 AWS S3 or Azure Active Directory record.

Observability

Monitoring

Track your AWS S3 ⇄ Azure Active Directory sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS S3 and Azure Active Directory.

How the AWS S3 and Azure Active Directory connectors work

AWS S3

Integration surface
REST API (the S3 API), accessed directly or through AWS SDKs
Authentication
AWS IAM credentials with SigV4 signing; commonly a role scoped to specific buckets and prefixes
Change detection
S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge; list-based polling as a fallback
Capabilities
read · write · webhooks
Rate limits
Request throughput scales per prefix; sustained high-volume workloads should spread keys across prefixes

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
How it works

How to connect AWS S3 to Azure Active Directory — 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.

  1. 01

    Connect your apps

    Authenticate AWS S3 and Azure Active Directory with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    AWS S3 connected
    Azure Active Directory connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS S3 and Azure Active Directory 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · AWS S3 ⇄ Azure Active Directory
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    AWS S3 Azure Active Directory
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS S3 and Azure Active Directory integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 541 integrations available for AWS S3 and Azure Active Directory.

Popular · 8 of 541
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