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Database ⇄ Business productivity

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

Keep AWS Aurora MySQL 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 MySQL and Microsoft 365

Mirror Microsoft 365's data into AWS Aurora MySQL 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 MySQL.

Stacksync mirrors OneDrive Files (driveItems), SharePoint Sites & Lists, Teams, Planner & To Do Tasks from Microsoft 365 into Stored procedures and triggers, Databases (schemas), Tables, Rows in AWS Aurora MySQL 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

  • Archive mail and file metadata into a warehouse for compliance and activity analytics.
  • Keep CRM contacts and Microsoft 365 contacts aligned in both directions.
  • Sync a production Aurora cluster with an analytics database while filtering out sensitive columns.
  • Let operations teams edit records in a spreadsheet-style tool with changes written back to Aurora safely.

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.

Read Microsoft 365 with a query

Records from Microsoft 365 are ordinary rows in AWS Aurora MySQL; join them, index them, and use them in application logic without touching the vendor API.

Automate Microsoft 365 from your codebase

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

What you can sync between AWS Aurora MySQL 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 MySQL objects Microsoft 365 objects
Views Can serve as read-only sync sources for derived or filtered datasets. Calendar Events Events synced with scheduling tools and CRMs for meeting visibility.
Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. Contacts Personal and org contacts kept consistent with CRM contact records.
Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. OneDrive Files (driveItems) File and folder metadata synced for document workflows and audits.
Databases (schemas) Logical namespaces that scope which tables a sync connection can see. SharePoint Sites & Lists List items read and written like lightweight database tables.
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. Teams Team and membership data provisioned from upstream systems.
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Planner & To Do Tasks Task items synced with project and work-management tools.
What ships with AWS Aurora MySQL ⇄ Microsoft 365

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

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

Real-time

Two-way sync

Changes in AWS Aurora MySQL 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 MySQL 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 MySQL or Microsoft 365 record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ 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 MySQL and Microsoft 365.

How the AWS Aurora MySQL and Microsoft 365 connectors work

AWS Aurora MySQL

Integration surface
SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns 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 MySQL 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 MySQL 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 MySQL connected
    Microsoft 365 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

AWS Aurora MySQL and Microsoft 365 integration FAQ

SECURITY

Security teams love 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
CSA STAR
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 386 integrations available for AWS Aurora MySQL and Microsoft 365.

Popular · 8 of 386
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