Real-time
Two-way sync
Changes in Acumatica or Amazon S3 instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Storage
Acumatica to Amazon S3 integration — real-time, two-way sync
Keep Acumatica and Amazon S3 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 Acumatica and Amazon S3
Move the documents and data that Acumatica produces into Amazon S3 as files, and let files stored in Amazon S3 update the records they belong to in Acumatica, continuously and without exports or manual filing.
Acumatica runs the business on structured records: Sales Orders, Invoices, Purchase Orders, Stock Items. Amazon S3 holds files and the metadata that describes them: Buckets, Objects, Object metadata, Object tags. The two do not share a customer table or an order ledger. What they share is documents. Nearly every record Acumatica touches produces a file that belongs in storage, whether an invoice, a purchase order, a statement, or a shipping doc, and many files that land in Amazon S3, from signed contracts to vendor bills to receipts, describe a transaction Acumatica needs to record. Left unconnected, that link is maintained by hand: someone exports a PDF and drags it into a folder, or downloads a file and keys its details into a record.
Stacksync keeps Sales Orders, Invoices, Purchase Orders, Stock Items in Acumatica and Buckets, Objects, Object metadata, Object tags in Amazon S3 in sync, bi-directionally and in real time. A document and its details, the customer, the type, the date, an amount, an order or invoice number, are mapped field by field, so a file arrives in Amazon S3 already labeled and filed, and metadata captured against a stored file can create or update the matching record in Acumatica. Changes on either side show up within seconds, with conflict resolution in place of nightly exports and manual filing.
The result is that a transaction and the document that backs it stay together. Finance, operations, and audit teams find the file behind a record without digging through folders, and the record in Acumatica and the file in Amazon S3 never describe two different versions of the same document.
Common use cases
- 01 Align Acumatica's built-in CRM opportunities and cases with an external sales or support platform.
- 02 Two-way sync of customers, orders, and invoices between Acumatica and a CRM so sales sees ERP truth without ERP logins.
- 03 Two-way sync Object tags with a database so retention or classification labels set in an internal app write back onto S3 objects via the tagging API without rewriting the files.
- 04 Mirror Objects under a given Bucket and prefix into another bucket, region, or a warehouse external stage for backup or downstream processing.
Common sync patterns
Audit-ready retention
Every transaction's supporting file lives in Amazon S3 beside its metadata, giving finance and audit teams a complete, searchable trail tied back to the record in Acumatica.
Documents filed with their context
Files that Acumatica produces land in Amazon S3 labeled with the customer, document type, and reference number they belong to, so the right copy is one search away instead of buried in a folder.
Metadata that files itself
Record fields from Acumatica, like customer, date, amount, type, and reference number, become the metadata and tags on the stored file in Amazon S3, so storage stays organized without anyone tagging by hand.
What you can sync between Acumatica and Amazon S3
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.
| Acumatica objects | Amazon S3 objects | How this pairing syncs | |
|---|---|---|---|
| Shipments Fulfillment documents read to update tracking in storefronts and CRMs. | Prefixes (folders) Logical path segments in object keys used to scope a sync and to parallelize throughput, since S3 rate limits partition by prefix. | Shipments is specific to Acumatica and Prefixes (folders) to Amazon S3 — each maps to any object or custom field on the other side. | |
| Payments Customer payment records reconciled against invoices from payment platforms. | 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. | Payments is specific to Acumatica and Multipart uploads to Amazon S3 — each maps to any object or custom field on the other side. | |
| Journal Transactions GL entries replicated into reporting databases. | Buckets Top-level, region-scoped containers that hold objects; enumerated to discover the namespaces and prefixes a sync should cover. | Journal Transactions is specific to Acumatica and Buckets to Amazon S3 — each maps to any object or custom field on the other side. | |
| Projects Project cost and billing structures synced with delivery tools. | 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. | Projects is specific to Acumatica and Objects to Amazon S3 — each maps to any object or custom field on the other side. | |
| Opportunities and Cases Built-in CRM records synced with external sales and support tools. | 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. | Opportunities and Cases is specific to Acumatica and Object metadata to Amazon S3 — each maps to any object or custom field on the other side. | |
| Customers AR master data synced with CRMs and billing tools. | 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. | Customers is specific to Acumatica and Object tags to Amazon S3 — each maps to any object or custom field on the other side. |
How changes propagate between Acumatica and Amazon S3
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.
Acumatica Amazon S3 Sub-second propagation
DetectionAcumatica notifies Stacksync of record changes through webhook events. Push notifications configurable on data changes, plus polling on LastModifiedDateTime fields.
DeliveryEach detected change is written to Amazon S3 through its API, with automatic retries and rate-limit backoff.
Amazon S3 Acumatica 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 Acumatica 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 Acumatica ⇄ Amazon S3
Connect Acumatica and Amazon S3 for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Acumatica–Amazon S3 connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Acumatica or Amazon S3 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 Acumatica or Amazon S3 record.
Observability
Monitoring
Track your Acumatica ⇄ Amazon S3 sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Acumatica and Amazon S3.
How the Acumatica and Amazon S3 connectors work
Acumatica
- Integration surface
- Contract-based REST API (JSON over versioned endpoints), plus SOAP web services and OData access to Generic Inquiries
- Authentication
- OAuth 2.0 or cookie-based session login with Acumatica credentials
- Change detection
- Push notifications configurable on data changes, plus polling on LastModifiedDateTime fields
- Capabilities
- read · write · webhooks
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.
How it works
How to connect Acumatica to Amazon S3 — 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 Acumatica and Amazon S3 with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Acumatica
connected
Amazon S3
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Acumatica and Amazon S3 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 · Acumatica ⇄ Amazon S3Customers 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.
Acumatica Amazon S3Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Acumatica and Amazon S3 integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Acumatica and Amazon S3: authenticate both systems, choose the objects to sync (such as Acumatica's Shipments and Payments), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Acumatica and Amazon S3. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Acumatica: Push notifications configurable on data changes, plus polling on LastModifiedDateTime fields. On Amazon S3: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Acumatica side: Sales Orders, Invoices, Purchase Orders, Stock Items, plus custom fields where Acumatica exposes them. On the Amazon S3 side: Buckets, Objects, Object metadata, Object tags. 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 Acumatica and Amazon S3: Audit-ready retention; Documents filed with their context; Metadata that files itself. Every transaction's supporting file lives in Amazon S3 beside its metadata, giving finance and audit teams a complete, searchable trail tied back to the record in Acumatica.
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
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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
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Popular · 6 of 507
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Acumatica ⇄ Egnyte -
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No integrations match .
