Two-way sync
Changes in Amazon S3 or Microsoft Teams instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon S3 and Microsoft Teams in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Microsoft Teams and Amazon S3 hold different kinds of data. Microsoft Teams carries records and the activity around them — the tickets, messages, orders, or issues a team works through, often with documents attached. Amazon S3 holds files and the metadata that describes them. Where the two meet is narrow but real: much of what Microsoft Teams produces has to be kept somewhere durable, and many of the files Amazon S3 stores are the very documents Microsoft Teams's records point to.
Stacksync syncs Online Meetings, Tabs & Installed Apps, Teams, Channels in Microsoft Teams with Prefixes (folders), Multipart uploads, Buckets, Objects in Amazon S3 in real time. Records and attachments created in Microsoft Teams are written into Amazon S3 as objects or files within seconds of being created. In the other direction, the metadata Amazon S3 keeps about those files — name, location, owner, modified date — flows back onto the matching record in Microsoft Teams, so people see the current document without leaving the tool. Field-level mapping controls exactly what crosses over and in which direction, so you keep a durable copy of what matters without an extract to schedule or a nightly dump that leaves the copy a day behind.
Documents attached to records in Microsoft Teams land in the storage system automatically, with the source record holding a link back, so files live in one governed place instead of inside the tool.
A file's name, location, owner, and modified date from Amazon S3 sync onto the matching record in Microsoft Teams, so whoever is working there sees the current version without switching tools.
A continuously synced copy in Amazon S3 preserves records and documents even as they age out of Microsoft Teams or get changed inside it, so history stays intact and reachable.
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 S3 objects | Microsoft Teams objects | How this pairing syncs | |
|---|---|---|---|
| Objects Files stored under a key; content is read with GET and written with PUT, and each object's key/size/ETag/LastModified is the unit indexed into a database. | Team Members & Users Membership synced with identity, HR, or CRM ownership data. | Objects is specific to Amazon S3 and Team Members & Users to Microsoft Teams — each maps to any object or custom field on the other side. | |
| Object metadata System metadata (Content-Type, size, ETag, LastModified) plus user-defined x-amz-meta-* headers; user metadata is fixed at write time and only changeable by rewriting the object. | Online Meetings Meeting records synced with scheduling and CRM activity timelines. | Object metadata is specific to Amazon S3 and Online Meetings to Microsoft Teams — each maps to any object or custom field on the other side. | |
| Object tags Up to 10 key-value tags per object, mutable in place via the tagging API independent of content, so classification and retention labels sync two-way without rewriting files. | Tabs & Installed Apps App configuration read to audit or provision team workspaces. | Object tags is specific to Amazon S3 and Tabs & Installed Apps to Microsoft Teams — each maps to any object or custom field on the other side. | |
| Object versions When bucket versioning is enabled every write creates a new version ID; prior versions and delete markers are readable for history and audit syncs. | Teams Team containers provisioned or read to mirror org and project structure. | Object versions is specific to Amazon S3 and Teams to Microsoft Teams — each maps to any object or custom field on the other side. | |
| Prefixes (folders) Logical path segments in object keys used to scope a sync and to parallelize throughput, since S3 rate limits partition by prefix. | Channels Channel targets used for routing synced notifications and updates. | Prefixes (folders) is specific to Amazon S3 and Channels to Microsoft Teams — each maps to any object or custom field on the other side. | |
| Multipart uploads In-progress large-object uploads assembled from parts; objects above ~100 MB (required above 5 GB) are written this way, and incomplete uploads persist until completed or aborted. | Channel Messages Posted messages read for archiving or written to broadcast record changes. | Multipart uploads is specific to Amazon S3 and Channel Messages to Microsoft Teams — 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.
DetectionAmazon S3 notifies Stacksync of record changes through webhook events. S3 Event Notifications push object-created, object-removed, and object-tagging events to SNS, SQS, Lambda, or EventBridge.
DeliveryEach detected change is written to Microsoft Teams through its API, with automatic retries and rate-limit backoff.
DetectionMicrosoft Teams notifies Stacksync of record changes through webhook events. Graph change notifications (webhooks) for messages and membership.
DeliveryEach detected change is written to Amazon S3 through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon S3–Microsoft Teams connection.
Changes in Amazon S3 or Microsoft Teams instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon S3 or Microsoft Teams data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon S3 or Microsoft Teams record.
Track your Amazon S3 ⇄ Microsoft Teams sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon S3 and Microsoft Teams.
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 Amazon S3 and Microsoft Teams 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 Amazon S3 and Microsoft Teams 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 Amazon S3 and Microsoft Teams: authenticate both systems, choose the objects to sync (such as Amazon S3's Objects and Object metadata), map fields visually, and changes propagate both ways in milliseconds — no code required.
Amazon S3: S3 REST API (also via AWS SDKs and the S3-compatible endpoint). Authentication: AWS IAM credentials — an access key ID and secret access key signed with AWS Signature Version 4; supports temporary STS credentials and cross-account IAM roles. Microsoft Teams: REST API (Microsoft Graph). Authentication: OAuth 2.0 via Microsoft Entra ID; reading message content at scale requires Microsoft-approved protected-API access. Stacksync manages authentication, retries, and rate limits on both sides.
Microsoft Teams: Teams has no standalone API; all programmatic access goes through Microsoft Graph alongside the rest of Microsoft 365. Amazon S3: S3 provides strong read-after-write consistency for all operations, but it has no built-in change feed — near-real-time detection depends on S3 Event Notifications or EventBridge being configured on the bucket. Stacksync's field mapping accounts for these differences between Amazon S3 and Microsoft Teams without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Amazon S3 and Microsoft Teams records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon S3 and Microsoft Teams connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon S3–Microsoft Teams integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon S3 and Microsoft Teams. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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.
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Every pair below is a real-time, two-way sync. Search all 436 integrations available for Amazon S3 and Microsoft Teams.