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Database ⇄ Business productivity

AWS Aurora PostgreSQL to Microsoft 365 integration — real-time, two-way sync

Keep AWS Aurora PostgreSQL and Microsoft 365 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 Aurora PostgreSQL and Microsoft 365

Mirror Microsoft 365's data into AWS Aurora PostgreSQL so your own code can read and write it like any other table, with changes flowing both ways in seconds.

Engineers integrate with tools like Microsoft 365 through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in AWS Aurora PostgreSQL.

Stacksync mirrors Contacts, OneDrive Files (driveItems), SharePoint Sites & Lists, Teams from Microsoft 365 into Rows, Columns, Primary keys and constraints, Views and materialized views in AWS Aurora PostgreSQL and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Microsoft 365, so the tool and the database never disagree.

Common use cases

  • 01 Sync SharePoint lists with operational databases so business users edit in SharePoint while systems read SQL.
  • 02 Archive mail and file metadata into a warehouse for compliance and activity analytics.
  • 03 Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.
  • 04 Feed operational dashboards from a read replica while the writer handles sync traffic.

Common sync patterns

Automate Microsoft 365 from your codebase

Write to the synced tables in AWS Aurora PostgreSQL and Stacksync propagates the change into Microsoft 365, replacing custom integration code.

React to changes as they happen

Updates in Microsoft 365 arrive as row changes in AWS Aurora PostgreSQL, so triggers, jobs, and services can respond in near real time.

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

What you can sync between AWS Aurora PostgreSQL and Microsoft 365

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 Aurora PostgreSQL objects Microsoft 365 objects How this pairing syncs
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Users Entra ID user accounts synced with HR and identity systems. Foreign keys is specific to AWS Aurora PostgreSQL and Users to Microsoft 365 — each maps to any object or custom field on the other side.
Replication slots and publications The logical replication objects that power log-based CDC. Groups Microsoft 365 and security groups kept aligned with org structure and access rules. Replication slots and publications is specific to AWS Aurora PostgreSQL and Groups to Microsoft 365 — each maps to any object or custom field on the other side.
Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. Mail Messages Exchange Online messages read for logging, archiving, or activity capture. Databases and schemas is specific to AWS Aurora PostgreSQL and Mail Messages to Microsoft 365 — each maps to any object or custom field on the other side.
Tables The core sync unit; rows are matched across systems by primary key. Calendar Events Events synced with scheduling tools and CRMs for meeting visibility. Tables is specific to AWS Aurora PostgreSQL and Calendar Events to Microsoft 365 — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted in both directions during bi-directional syncs. Contacts Personal and org contacts kept consistent with CRM contact records. Rows is specific to AWS Aurora PostgreSQL and Contacts to Microsoft 365 — each maps to any object or custom field on the other side.
Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. OneDrive Files (driveItems) File and folder metadata synced for document workflows and audits. Columns is specific to AWS Aurora PostgreSQL and OneDrive Files (driveItems) to Microsoft 365 — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora PostgreSQL and Microsoft 365

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 Aurora PostgreSQL Microsoft 365 Sub-second propagation

DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.

DeliveryEach detected change is written to Microsoft 365 through its API, with automatic retries and rate-limit backoff.

Microsoft 365 AWS Aurora PostgreSQL Sub-second propagation

DetectionMicrosoft 365 notifies Stacksync of record changes through webhook events. Graph change notifications (webhooks) plus delta queries for incremental sync.

DeliveryEach detected change is applied to AWS Aurora PostgreSQL as a row-level write, with types converted between the two schemas.

What ships with AWS Aurora PostgreSQL ⇄ Microsoft 365

Connect AWS Aurora PostgreSQL and Microsoft 365 for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Microsoft 365 connection.

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL or Microsoft 365 instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora PostgreSQL or Microsoft 365 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 Aurora PostgreSQL or Microsoft 365 record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ Microsoft 365 sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Microsoft 365.

How the AWS Aurora PostgreSQL and Microsoft 365 connectors work

AWS Aurora PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
Capabilities
read · write · CDC

Microsoft 365

Integration surface
REST API (Microsoft Graph)
Authentication
OAuth 2.0 via Microsoft Entra ID, with delegated or application permissions
Change detection
Graph change notifications (webhooks) plus delta queries for incremental sync
Capabilities
read · write · webhooks
How it works

How to connect AWS Aurora PostgreSQL to Microsoft 365 — 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 Aurora PostgreSQL and Microsoft 365 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 Aurora PostgreSQL connected
    Microsoft 365 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora PostgreSQL and Microsoft 365 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 Aurora PostgreSQL ⇄ Microsoft 365
    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 Aurora PostgreSQL Microsoft 365
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora PostgreSQL and Microsoft 365 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 401 integrations available for AWS Aurora PostgreSQL and Microsoft 365.

Popular · 7 of 401
All AWS Aurora PostgreSQL integrations All Microsoft 365 integrations Browse all integrations
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