Real-time
Two-way sync
Changes in Amazon S3 or Sage 100 instantly reflect in both systems. No stale data, no manual imports.
Storage ⇄ ERP
Amazon S3 to Sage 100 integration — real-time, two-way sync
Keep Amazon S3 and Sage 100 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 100
Move the documents and data that Sage 100 produces into Amazon S3 as files, and let files stored in Amazon S3 update the records they belong to in Sage 100, continuously and without exports or manual filing.
Sage 100 runs the business on structured records: Vendors, Inventory Items, Sales Orders, AR Invoices. Amazon S3 holds files and the metadata that describes them: Object tags, Object versions, Prefixes (folders), Multipart uploads. The two do not share a customer table or an order ledger. What they share is documents. Nearly every record Sage 100 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 100 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 Vendors, Inventory Items, Sales Orders, AR Invoices in Sage 100 and Object tags, Object versions, Prefixes (folders), Multipart uploads 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 100. 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 100 and the file in Amazon S3 never describe two different versions of the same document.
Common use cases
- 01 Sync customers, invoices, and payment status into a CRM so sales sees AR standing without opening the ERP.
- 02 Push e-commerce and EDI orders into the Sales Order module instead of rekeying them.
- 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
Metadata that files itself
Record fields from Sage 100, 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.
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 100, so a document captured outside the finance system still reaches the books.
An archive that stays current
As records change in Sage 100, 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.
What you can sync between Amazon S3 and Sage 100
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 100 objects | How this pairing syncs | |
|---|---|---|---|
| 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 mapping transactions in finance integrations. | Object versions is specific to Amazon S3 and GL Accounts to Sage 100 — 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 Entries Posted GL activity replicated to warehouses for FP&A. | Prefixes (folders) is specific to Amazon S3 and Journal Entries to Sage 100 — 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. | Customers AR customer master records synced to CRMs for account and credit visibility. | Multipart uploads is specific to Amazon S3 and Customers to Sage 100 — 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. | Vendors AP vendor master records synced with procurement and payment tools. | Buckets is specific to Amazon S3 and Vendors to Sage 100 — 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. | Inventory Items Item master with pricing and quantities, synced to e-commerce catalogs. | Objects is specific to Amazon S3 and Inventory Items to Sage 100 — 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. | Sales Orders Order headers and lines, the usual write target for web and EDI orders. | Object metadata is specific to Amazon S3 and Sales Orders to Sage 100 — each maps to any object or custom field on the other side. |
How changes propagate between Amazon S3 and Sage 100
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 100 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 100 as a row-level write, with types converted between the two schemas.
Sage 100 Amazon S3 Interval-based propagation
DetectionStacksync polls Sage 100 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 100
Connect Amazon S3 and Sage 100 for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon S3–Sage 100 connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Amazon S3 or Sage 100 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 100 record.
Observability
Monitoring
Track your Amazon S3 ⇄ Sage 100 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 100.
How the Amazon S3 and Sage 100 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 100
- Integration surface
- ODBC (ProvideX driver) for reads; Business Object Interface (BOI) or Sage-provided web services for writes
- Authentication
- Sage 100 company and user credentials; ODBC DSN credentials for direct reads
- Change detection
- Scheduled polling; no webhooks or change log on the integration surface
- Capabilities
- read · write
How it works
How to connect Amazon S3 to Sage 100 — 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 100 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 100
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Amazon S3 and Sage 100 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 100Customers 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 100Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Amazon S3 and Sage 100 integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Amazon S3 and Sage 100: authenticate both systems, choose the objects to sync (such as Amazon S3's Object versions and Prefixes (folders)), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 100 records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon S3 and Sage 100 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon S3–Sage 100 integration in-house.
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Yes — Stacksync ships production-grade connectors for both Amazon S3 and Sage 100. 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 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. On Sage 100: Scheduled polling; no webhooks or change log on the integration surface. 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 Sage 100 side: Vendors, Inventory Items, Sales Orders, AR Invoices, plus custom fields where Sage 100 exposes them. On the Amazon S3 side: Object tags, Object versions, Prefixes (folders), Multipart uploads. Stacksync auto-detects both schemas and converts types between the two systems.
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
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