Real-time
Two-way sync
Changes in AWS Aurora MySQL or Microsoft 365 instantly reflect in both systems. No stale data, no manual imports.
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
Case study
Migrated from MuleSoft
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Migrated from Celigo
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Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
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
- 01 Archive mail and file metadata into a warehouse for compliance and activity analytics.
- 02 Keep CRM contacts and Microsoft 365 contacts aligned in both directions.
- 03 Sync a production Aurora cluster with an analytics database while filtering out sensitive columns.
- 04 Let operations teams edit records in a spreadsheet-style tool with changes written back to Aurora safely.
Common sync patterns
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 | How this pairing syncs | |
|---|---|---|---|
| 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. | Views is specific to AWS Aurora MySQL and Calendar Events to Microsoft 365 — each maps to any object or custom field on the other side. | |
| Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. | Contacts Personal and org contacts kept consistent with CRM contact records. | Foreign keys is specific to AWS Aurora MySQL and Contacts to Microsoft 365 — each maps to any object or custom field on the other side. | |
| 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. | Stored procedures and triggers is specific to AWS Aurora MySQL and OneDrive Files (driveItems) to Microsoft 365 — each maps to any object or custom field on the other side. | |
| 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. | Databases (schemas) is specific to AWS Aurora MySQL and SharePoint Sites & Lists to Microsoft 365 — each maps to any object or custom field on the other side. | |
| 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. | Tables is specific to AWS Aurora MySQL and Teams to Microsoft 365 — each maps to any object or custom field on the other side. | |
| 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. | Rows is specific to AWS Aurora MySQL and Planner & To Do Tasks to Microsoft 365 — each maps to any object or custom field on the other side. |
How changes propagate between AWS Aurora MySQL 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 MySQL Microsoft 365 Sub-second propagation
DetectionChanges in AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns 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 MySQL 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 MySQL as a row-level write, with types converted between the two schemas.
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.
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.
- 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.
AWS Aurora MySQL
connected
Microsoft 365
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 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.
objects · AWS Aurora MySQL ⇄ Microsoft 365Customers 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.
AWS Aurora MySQL Microsoft 365Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora MySQL and Microsoft 365 integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora MySQL and Microsoft 365: authenticate both systems, choose the objects to sync (such as AWS Aurora MySQL's Views and Foreign keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
On the Microsoft 365 side: OneDrive Files (driveItems), SharePoint Sites & Lists, Teams, Planner & To Do Tasks, plus custom fields where Microsoft 365 exposes them. On the AWS Aurora MySQL side: Stored procedures and triggers, Databases (schemas), Tables, Rows. 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.
-
Common patterns for AWS Aurora MySQL and Microsoft 365: One integration pattern for the whole stack; Read Microsoft 365 with a query; Automate Microsoft 365 from your codebase. Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
-
AWS Aurora MySQL: SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Microsoft 365: REST API (Microsoft Graph). Authentication: OAuth 2.0 via Microsoft Entra ID, with delegated or application permissions. Stacksync manages authentication, retries, and rate limits on both sides.
-
Microsoft 365: Access is scoped per permission via Entra ID admin consent, so an integration only sees the workloads it was granted. AWS Aurora MySQL: Binlog-based CDC requires binary logging to be enabled through the cluster parameter group; once on, changes can be captured without querying production tables. Stacksync's field mapping accounts for these differences between AWS Aurora MySQL and Microsoft 365 without custom code.
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 401 integrations available for AWS Aurora MySQL and Microsoft 365.
Popular · 4 of 401
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AWS Aurora MySQL ⇄ Lusha -
AWS Aurora MySQL ⇄ Microsoft Dynamics 365 -
AWS Aurora MySQL ⇄ Microsoft Teams -
Microsoft 365 ⇄ Oracle DB
No integrations match .
