Two-way sync
Changes in Amazon S3 or Syspro instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon S3 and Syspro in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Syspro runs the business on structured records: AR invoices, GL journals, Warehouses, Customers. 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 Syspro 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 Syspro 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 AR invoices, GL journals, Warehouses, Customers in Syspro 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 Syspro. 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 Syspro and the file in Amazon S3 never describe two different versions of the same document.
Record fields from Syspro, 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.
A contract, vendor bill, or receipt added to Amazon S3 with its details can create or update the matching record in Syspro, so a document captured outside the finance system still reaches the books.
As records change in Syspro, 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.
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 | Syspro 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. | Customers AR customer master records matched against CRM accounts. | Objects is specific to Amazon S3 and Customers to Syspro — 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. | Suppliers AP supplier records synced with procurement and payment systems. | Object metadata is specific to Amazon S3 and Suppliers to Syspro — 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. | Inventory items The stock master, kept aligned with WMS and e-commerce catalogs. | Object tags is specific to Amazon S3 and Inventory items to Syspro — 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. | Sales orders Orders written in from storefronts and CRMs, with status read back out. | Object versions is specific to Amazon S3 and Sales orders to Syspro — 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. | Purchase orders Procurement documents synced with supplier portals and receiving. | Prefixes (folders) is specific to Amazon S3 and Purchase orders to Syspro — 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. | Jobs (work orders) Manufacturing jobs and WIP tracked for production reporting. | Multipart uploads is specific to Amazon S3 and Jobs (work orders) to Syspro — 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 Syspro through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Syspro for changes on an incremental schedule, reading only records changed since the previous pass. Polling.
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–Syspro connection.
Changes in Amazon S3 or Syspro instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon S3 or Syspro 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 Syspro record.
Track your Amazon S3 ⇄ Syspro sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon S3 and Syspro.
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 Syspro 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 Syspro 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 Syspro: 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.
Yes — Stacksync ships production-grade connectors for both Amazon S3 and Syspro. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Syspro: Polling; the ERP does not expose a change feed to external consumers. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Syspro side: AR invoices, GL journals, Warehouses, Customers, plus custom fields where Syspro 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 Amazon S3 and Syspro: Metadata that files itself; Where Amazon S3 captures inbound files: details reach the record; An archive that stays current. Record fields from Syspro, 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.
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.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 497 integrations available for Amazon S3 and Syspro.