Two-way sync
Changes in AWS S3 or Microsoft Graph instantly reflect in both systems. No stale data, no manual imports.
Keep AWS S3 and Microsoft Graph in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
AWS S3 is the central store where teams keep Event Notifications, Access Points, Multipart Uploads, Buckets for reporting and analysis; Microsoft Graph runs the operational side of engineering work — tracking issues, moving messages and events, watching systems, and managing users and access. The two overlap wherever the same operational data matters to both: the Users, Groups and memberships, Mail messages (Outlook), Calendar events produced in Microsoft Graph are exactly what analysts want to measure in AWS S3, and the curated rows in AWS S3 are what should drive the next action in Microsoft Graph. When that overlap is bridged by nightly ETL or hand-written scripts, dashboards lag a day behind reality and the tools that should react to warehouse signals never see them.
Stacksync syncs Event Notifications, Access Points, Multipart Uploads, Buckets in AWS S3 with Users, Groups and memberships, Mail messages (Outlook), Calendar events in Microsoft Graph field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync matches records on a stable external key, keeps every copy consistent, and resolves conflicts by rules you set — so analytics and operations work from the same current data instead of two drifting copies.
Records created in Microsoft Graph — issues, events, messages, metrics, or user changes — replicate into AWS S3 tables as they happen, so reporting runs on current data instead of last night's export.
A row scored, flagged, or enriched in AWS S3 creates or updates the matching record in Microsoft Graph, so the operational tool acts on the same data the analysts already see.
Load the existing set of Users, Groups and memberships, Mail messages (Outlook), Calendar events into AWS S3 once, then keep it current with every change — you get full history plus real-time updates without a separate pipeline.
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 | Microsoft Graph objects | How this pairing syncs | |
|---|---|---|---|
| Access Points Scoped network endpoints used to grant a sync narrow access to a bucket. | Calendar events Outlook events via /users/{id}/events; read and write meetings, attendees, and recurrence, and accept or decline invitations. | Access Points is specific to AWS S3 and Calendar events to Microsoft Graph — each maps to any object or custom field on the other side. | |
| Multipart Uploads The mechanism used to write large export files reliably. | Contacts Personal Outlook contacts via /users/{id}/contacts; full create, read, update, delete, synced two-way with CRM person records. | Multipart Uploads is specific to AWS S3 and Contacts to Microsoft Graph — each maps to any object or custom field on the other side. | |
| Buckets Top-level containers a sync targets; region and policy are set at this level. | Drive items (OneDrive & SharePoint) Files and folders via /drives and /me/drive; read and write items, upload and download content, and read per-item metadata. | Buckets is specific to AWS S3 and Drive items (OneDrive & SharePoint) to Microsoft Graph — each maps to any object or custom field on the other side. | |
| Objects The stored files (CSV, JSON, Parquet); syncs read them as datasets or write exports into them. | Teams messages and chats Channel messages and chats via /teams/{id}/channels and /chats; read message history and post new messages for alerts and archiving. | Objects is specific to AWS S3 and Teams messages and chats to Microsoft Graph — each maps to any object or custom field on the other side. | |
| Prefixes Key-name paths used to partition synced datasets, since S3 has no real directories. | Planner tasks Plans, buckets, and tasks via /planner; read and write task status, assignments, and due dates to keep project state in sync. | Prefixes is specific to AWS S3 and Planner tasks to Microsoft Graph — each maps to any object or custom field on the other side. | |
| Object Metadata System and user-defined metadata read alongside object contents. | Users Entra ID user accounts read and written via /users; create, update profile attributes, and enable or disable accounts with User.ReadWrite.All. | Object Metadata is specific to AWS S3 and Users to Microsoft Graph — each maps to any object or custom field on the other side. |
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.
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 Microsoft Graph through its API, with automatic retries and rate-limit backoff.
DetectionMicrosoft Graph notifies Stacksync of record changes through webhook events. Delta query (change tracking) returns created, updated, and deleted items since the last deltaLink for users, groups, mail, events, contacts, and.
DeliveryEach detected change is written to AWS S3 through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS S3–Microsoft Graph connection.
Changes in AWS S3 or Microsoft Graph instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS S3 or Microsoft Graph data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single AWS S3 or Microsoft Graph record.
Track your AWS S3 ⇄ Microsoft Graph sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS S3 and Microsoft Graph.
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.
Authenticate AWS S3 and Microsoft Graph with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the AWS S3 and Microsoft Graph 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between AWS S3 and Microsoft Graph: authenticate both systems, choose the objects to sync (such as AWS S3's Access Points and Multipart Uploads), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the AWS S3 side: Event Notifications, Access Points, Multipart Uploads, Buckets, plus custom fields where AWS S3 exposes them. On the Microsoft Graph side: Users, Groups and memberships, Mail messages (Outlook), Calendar events. Stacksync auto-detects both schemas and converts types between the two systems.
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 S3 and Microsoft Graph: Operational data lands in AWS S3 for analytics; Warehouse signals reach Microsoft Graph; Backfill history, then stay live. Records created in Microsoft Graph — issues, events, messages, metrics, or user changes — replicate into AWS S3 tables as they happen, so reporting runs on current data instead of last night's export.
AWS S3: 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. Microsoft Graph: Microsoft Graph unified REST API (v1.0 and beta) at graph.microsoft.com, spanning Microsoft 365 services — Entra ID, Outlook mail and calendar, OneDrive and SharePoint, Teams, and Planner; supports JSON $batch (up to 20 requests per call). Authentication: OAuth 2.0 via the Microsoft identity platform (Microsoft Entra ID). An app registration holds delegated or application (app-only) scopes such as Mail.ReadWrite, Calendars.ReadWrite, Files.ReadWrite.All, User.ReadWrite.All, and Group.ReadWrite.All; application permissions require tenant admin consent. Stacksync manages authentication, retries, and rate limits on both sides.
AWS S3: The namespace is flat: prefixes only simulate folders, and listing performance depends on how keys are partitioned. Microsoft Graph: Application (app-only) permissions require tenant admin consent, and each write needs the matching ReadWrite scope such as Mail.ReadWrite or Group.ReadWrite.All; delegated and application scopes differ per resource. Stacksync's field mapping accounts for these differences between AWS S3 and Microsoft Graph without custom code.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 355 integrations available for AWS S3 and Microsoft Graph.