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Data warehouse ⇄ Security and identity

Amazon Redshift to Azure Active Directory integration — real-time, two-way sync

Keep Amazon Redshift 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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Amazon Redshift and Azure Active Directory

Land the users, groups, and access events from Azure Active Directory in Amazon Redshift 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; Amazon Redshift 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 Amazon Redshift. Getting them there usually means a brittle export that runs overnight and hands auditors a snapshot that is already out of date.

Stacksync syncs Devices, Users, Groups, Group memberships from Azure Active Directory into tables in Amazon Redshift in real time, and the connection works in both directions: values computed in Amazon Redshift, 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 Feed customer 360 tables built in Redshift to support and success platforms.
  • 02 Centralize CRM, ERP, and product data in Redshift so analysts join it with warehouse tables.
  • 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

Risk and review results back on the account

Risk scores, anomaly flags, or access-review outcomes computed in Amazon Redshift 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 Amazon Redshift as queryable tables, current within seconds instead of a nightly directory export.

Access and sign-in analytics

Sign-in and access events from Azure Active Directory land in Amazon Redshift, so security and compliance teams can query who reached what, and when, alongside the rest of the business's data.

What you can sync between Amazon Redshift 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.

Amazon Redshift objects Azure Active Directory objects How this pairing syncs
Tables Columnar tables used as sync destinations for SaaS and database data. Service principals /servicePrincipals (enterprise apps) plus appRoleAssignments; read for app inventory and access-posture reporting. Tables is specific to Amazon Redshift and Service principals to Azure Active Directory — each maps to any object or custom field on the other side.
Views SQL views readable as modeled sources for reverse syncs. Directory roles /directoryRoles and roleManagement assignments; read for privileged-access reviews, with role-assignment writes where the granted scopes permit. Views is specific to Amazon Redshift and Directory roles to Azure Active Directory — each maps to any object or custom field on the other side.
Materialized Views Precomputed results that downstream syncs can read for performance. Devices /devices registered or joined to the tenant; typically read-only into asset and security databases. Materialized Views is specific to Amazon Redshift and Devices to Azure Active Directory — each maps to any object or custom field on the other side.
External Tables (Spectrum) S3-backed tables queryable through Redshift, readable in syncs. 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. External Tables (Spectrum) is specific to Amazon Redshift and Users to Azure Active Directory — each maps to any object or custom field on the other side.
Stored Procedures SQL procedures sometimes invoked around load steps. Groups /groups covering security and Microsoft 365 groups; created, updated, and deleted through Graph, and read into warehouses for entitlement reporting. Stored Procedures is specific to Amazon Redshift and Groups to Azure Active Directory — each maps to any object or custom field on the other side.
Users and Groups Principals used to grant a sync connection scoped access. 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. Users and Groups is specific to Amazon Redshift and Group memberships to Azure Active Directory — each maps to any object or custom field on the other side.

How changes propagate between Amazon Redshift 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.

Amazon Redshift Azure Active Directory Interval-based propagation

DetectionStacksync polls Amazon Redshift for changes on an incremental schedule, reading only records changed since the previous pass. Polling or query-based diffing.

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

Azure Active Directory Amazon Redshift 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 Amazon Redshift as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon Redshift: Bounded by cluster or serverless capacity and concurrency settings rather than API quotas.
  • 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 Amazon Redshift ⇄ Azure Active Directory

Connect Amazon Redshift and Azure Active Directory for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Amazon Redshift 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 Amazon Redshift 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 Amazon Redshift or Azure Active Directory record.

Observability

Monitoring

Track your Amazon Redshift ⇄ 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 Amazon Redshift and Azure Active Directory.

How the Amazon Redshift and Azure Active Directory connectors work

Amazon Redshift

Integration surface
SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS
Authentication
Database credentials or IAM-based authentication
Change detection
Polling or query-based diffing; Redshift does not expose a transaction log for external CDC consumers
Capabilities
read · write
Rate limits
Bounded by cluster or serverless capacity and concurrency settings rather than API quotas

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 Amazon Redshift 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 Amazon Redshift 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
    Amazon Redshift connected
    Azure Active Directory connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Redshift 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 · Amazon Redshift ⇄ 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
    Amazon Redshift Azure Active Directory
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon Redshift 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
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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 540 integrations available for Amazon Redshift and Azure Active Directory.

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