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Storage ⇄ Business productivity

Amazon S3 to Microsoft Dynamics 365 integration — real-time, two-way sync

Keep Amazon S3 and Microsoft Dynamics 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.

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Why teams connect Amazon S3 and Microsoft Dynamics 365

Land the records and documents that build up in Microsoft Dynamics 365 into Amazon S3 as they are created, and surface Amazon S3's file details on the Microsoft Dynamics 365 records that point to them, without an export job to maintain.

Microsoft Dynamics 365 and Amazon S3 hold different kinds of data. Microsoft Dynamics 365 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 Dynamics 365 produces has to be kept somewhere durable, and many of the files Amazon S3 stores are the very documents Microsoft Dynamics 365's records point to.

Stacksync syncs Leads, Opportunities, Cases (Incidents), Quotes, Orders & Invoices in Microsoft Dynamics 365 with Buckets, Objects, Object metadata, Object tags in Amazon S3 in real time. Records and attachments created in Microsoft Dynamics 365 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 Dynamics 365, 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.

Common use cases

  • 01 Replicate standard and custom Dataverse tables into a warehouse for reporting.
  • 02 Enrich leads from external data sources and write scores back onto Dynamics records.
  • 03 Reconcile Object versions and delete markers into an audit table so teams track when files under a compliance prefix were added, replaced, or removed.
  • 04 Index every new Object's key, size, LastModified, and user metadata into a Postgres catalog table so applications query S3 contents in SQL instead of paging ListObjectsV2.

Common sync patterns

Where Microsoft Dynamics 365 generates attachments: keep the files in Amazon S3

Documents attached to records in Microsoft Dynamics 365 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.

Where Amazon S3 holds the source documents: file details on the record

A file's name, location, owner, and modified date from Amazon S3 sync onto the matching record in Microsoft Dynamics 365, so whoever is working there sees the current version without switching tools.

A copy that outlives the tool

A continuously synced copy in Amazon S3 preserves records and documents even as they age out of Microsoft Dynamics 365 or get changed inside it, so history stays intact and reachable.

What you can sync between Amazon S3 and Microsoft Dynamics 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.

Amazon S3 objects Microsoft Dynamics 365 objects How this pairing syncs
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. Activities Emails, calls, and tasks captured for engagement analytics. Object tags is specific to Amazon S3 and Activities to Microsoft Dynamics 365 — 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. Custom Tables Dataverse tables that carry business-specific entities through the same API surface. Object versions is specific to Amazon S3 and Custom Tables to Microsoft Dynamics 365 — 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. Accounts Company records synced bi-directionally with ERPs, databases, and billing systems. Prefixes (folders) is specific to Amazon S3 and Accounts to Microsoft Dynamics 365 — 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. Contacts Person records kept consistent with marketing, support, and data-warehouse copies. Multipart uploads is specific to Amazon S3 and Contacts to Microsoft Dynamics 365 — each maps to any object or custom field on the other side.
Buckets Top-level, region-scoped containers that hold objects; enumerated to discover the namespaces and prefixes a sync should cover. Leads Inbound records enriched and routed from external sources into sales queues. Buckets is specific to Amazon S3 and Leads to Microsoft Dynamics 365 — each maps to any object or custom field on the other side.
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. Opportunities Pipeline records synced with forecasting, CPQ, and billing systems. Objects is specific to Amazon S3 and Opportunities to Microsoft Dynamics 365 — each maps to any object or custom field on the other side.

How changes propagate between Amazon S3 and Microsoft Dynamics 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.

Amazon S3 Microsoft Dynamics 365 Sub-second propagation

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 Dynamics 365 through its API, with automatic retries and rate-limit backoff.

Microsoft Dynamics 365 Amazon S3 Sub-second propagation

DetectionMicrosoft Dynamics 365 pushes changes as they happen — webhook events backed by change data capture. Change data capture (CDC) via the Dynamics 365 Change Tracking feature.

DeliveryEach detected change is written to Amazon S3 through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Amazon S3: S3 sustains at least 3,500 PUT/COPY/POST/DELETE and 5,500 GET/HEAD requests per second per partitioned prefix and scales higher automatically; bursts can return HTTP 503 SlowDown while it repartitions.
What ships with Amazon S3 ⇄ Microsoft Dynamics 365

Connect Amazon S3 and Microsoft Dynamics 365 for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon S3–Microsoft Dynamics 365 connection.

Real-time

Two-way sync

Changes in Amazon S3 or Microsoft Dynamics 365 instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon S3 or Microsoft Dynamics 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 Amazon S3 or Microsoft Dynamics 365 record.

Observability

Monitoring

Track your Amazon S3 ⇄ Microsoft Dynamics 365 sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon S3 and Microsoft Dynamics 365.

How the Amazon S3 and Microsoft Dynamics 365 connectors work

Amazon S3

Integration surface
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
Change detection
S3 Event Notifications push object-created, object-removed, and object-tagging events to SNS, SQS, Lambda, or EventBridge; there is no modified-since query, so polling relies on each object's LastModified from ListObjectsV2
Capabilities
read · write · webhooks
Rate limits
S3 sustains at least 3,500 PUT/COPY/POST/DELETE and 5,500 GET/HEAD requests per second per partitioned prefix and scales higher automatically; bursts can return HTTP 503 SlowDown while it repartitions.

Microsoft Dynamics 365

Integration surface
REST API (Dataverse Web API, OData v4); Finance & Operations apps expose a separate OData data-entity surface
Authentication
Microsoft OAuth sign-in: user provides the D365 environment URL, signs in with Microsoft credentials, and accepts the Stacksync app (permissions to read CRM data and interact with OData entities)
Change detection
Change data capture (CDC) via the Dynamics 365 Change Tracking feature; standard entities have change tracking enabled by default, custom entities require enabling "Track Changes" in Power Apps/Dataverse table properties
Capabilities
read · write · CDC · webhooks
Microsoft Dynamics 365 setup guide
How it works

How to connect Amazon S3 to Microsoft Dynamics 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 Amazon S3 and Microsoft Dynamics 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
    Amazon S3 connected
    Microsoft Dynamics 365 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon S3 and Microsoft Dynamics 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 · Amazon S3 ⇄ Microsoft Dynamics 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
    Amazon S3 Microsoft Dynamics 365
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon S3 and Microsoft Dynamics 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.

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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 504 integrations available for Amazon S3 and Microsoft Dynamics 365.

Popular · 7 of 504
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