Real-time
Two-way sync
Changes in Amazon S3 or Sage 300 instantly reflect in both systems. No stale data, no manual imports.
Storage ⇄ ERP
Amazon S3 to Sage 300 integration — real-time, two-way sync
Keep Amazon S3 and Sage 300 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
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Why teams connect Amazon S3 and Sage 300
Move the documents and data that Sage 300 produces into Amazon S3 as files, and let files stored in Amazon S3 update the records they belong to in Sage 300, continuously and without exports or manual filing.
Sage 300 runs the business on structured records: Journal Batches, Order Entry Orders, Purchase Orders, Inventory Items. Amazon S3 holds files and the metadata that describes them: Object metadata, Object tags, Object versions, Prefixes (folders). The two do not share a customer table or an order ledger. What they share is documents. Nearly every record Sage 300 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 Sage 300 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 Journal Batches, Order Entry Orders, Purchase Orders, Inventory Items in Sage 300 and Object metadata, Object tags, Object versions, Prefixes (folders) 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 Sage 300. 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 Sage 300 and the file in Amazon S3 never describe two different versions of the same document.
Common use cases
- 01 Write web and EDI orders into Order Entry and return order status to the source channel.
- 02 Replicate GL, AR, and AP detail to a warehouse for consolidated multi-company reporting.
- 03 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.
- 04 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.
Common sync patterns
Where Amazon S3 captures inbound files: details reach the record
A contract, vendor bill, or receipt added to Amazon S3 with its details can create or update the matching record in Sage 300, so a document captured outside the finance system still reaches the books.
An archive that stays current
As records change in Sage 300, the corresponding files and metadata in Amazon S3 are kept in step, so a stored document reflects the latest version rather than a stale one-time export.
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 Sage 300.
What you can sync between Amazon S3 and Sage 300
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 | Sage 300 objects | How this pairing syncs | |
|---|---|---|---|
| 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. | AR Customers Receivables customer master synced to CRMs and billing tools. | Object metadata is specific to Amazon S3 and AR Customers to Sage 300 — 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. | AP Vendors Payables vendor master synced with procurement and payment systems. | Object tags is specific to Amazon S3 and AP Vendors to Sage 300 — 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. | GL Accounts Chart of accounts read for transaction mapping across integrations. | Object versions is specific to Amazon S3 and GL Accounts to Sage 300 — 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. | Journal Batches GL entries staged in batches that must be posted; a common write target for external systems. | Prefixes (folders) is specific to Amazon S3 and Journal Batches to Sage 300 — 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. | Order Entry Orders Sales orders written from e-commerce or EDI feeds. | Multipart uploads is specific to Amazon S3 and Order Entry Orders to Sage 300 — 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. | Purchase Orders Procurement documents read for spend visibility and receiving. | Buckets is specific to Amazon S3 and Purchase Orders to Sage 300 — each maps to any object or custom field on the other side. |
How changes propagate between Amazon S3 and Sage 300
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 Sage 300 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 applied to Sage 300 as a row-level write, with types converted between the two schemas.
Sage 300 Amazon S3 Interval-based propagation
DetectionStacksync polls Sage 300 for changes on an incremental schedule, reading only records changed since the previous pass. Scheduled polling.
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 ⇄ Sage 300
Connect Amazon S3 and Sage 300 for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon S3–Sage 300 connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Amazon S3 or Sage 300 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 Sage 300 record.
Observability
Monitoring
Track your Amazon S3 ⇄ Sage 300 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 Sage 300.
How the Amazon S3 and Sage 300 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.
Sage 300
- Integration surface
- Sage 300 Web API (REST) on newer releases; .NET/COM SDK and direct SQL Server access on-prem
- Authentication
- Sage 300 user credentials (Basic auth on the Web API); database credentials for direct SQL reads
- Change detection
- Scheduled polling; batch-oriented modules with no webhook surface
- Capabilities
- read · write
How it works
How to connect Amazon S3 to Sage 300 — 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 Amazon S3 and Sage 300 with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Amazon S3
connected
Sage 300
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Amazon S3 and Sage 300 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 · Amazon S3 ⇄ Sage 300Customers 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.
Amazon S3 Sage 300Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Amazon S3 and Sage 300 integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Amazon S3 and Sage 300: authenticate both systems, choose the objects to sync (such as Amazon S3's Object metadata and Object tags), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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.
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Common patterns for Amazon S3 and Sage 300: Where Amazon S3 captures inbound files: details reach the record; An archive that stays current; Audit-ready retention. A contract, vendor bill, or receipt added to Amazon S3 with its details can create or update the matching record in Sage 300, so a document captured outside the finance system still reaches the books.
-
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. Sage 300: Sage 300 Web API (REST) on newer releases; .NET/COM SDK and direct SQL Server access on-prem. Authentication: Sage 300 user credentials (Basic auth on the Web API); database credentials for direct SQL reads. Stacksync manages authentication, retries, and rate limits on both sides.
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Sage 300: Financial transactions flow through batches that must be posted, so writes typically create batch entries rather than posted documents directly. Amazon S3: S3 stores opaque objects, not rows — there is no schema or query language, so listing is done with ListObjectsV2 (1,000 keys per page) and metadata must be indexed externally to be queryable. Stacksync's field mapping accounts for these differences between Amazon S3 and Sage 300 without custom code.
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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 Sage 300 records are not retained after a sync operation.
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 500 integrations available for Amazon S3 and Sage 300.
Popular · 7 of 500
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Amazon S3 ⇄ Logiwa WMS -
Amazon S3 ⇄ Macola ERP -
Amazon S3 ⇄ Manhattan Associates WMS -
Amazon S3 ⇄ Microsoft Dynamics GP -
Sage 300 ⇄ Box -
Sage 300 ⇄ Sharepoint -
Sage 300 ⇄ Egnyte
No integrations match .
