Two-way sync
Changes in Amazon S3 or Macola ERP instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon S3 and Macola ERP in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Macola ERP runs the business on structured records: Sales Orders, Purchase Orders, Invoices, GL Accounts & Journal Entries. 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 Macola ERP 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 Macola ERP 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, Purchase Orders, Invoices, GL Accounts & Journal Entries in Macola ERP 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 Macola ERP. 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 Macola ERP and the file in Amazon S3 never describe two different versions of the same document.
As records change in Macola ERP, 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.
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 Macola ERP.
Files that Macola ERP 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.
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 | Macola ERP 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. | Purchase Orders Procurement documents reconciled against receiving and vendor systems. | Object versions is specific to Amazon S3 and Purchase Orders to Macola ERP — 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. | Invoices AR documents synced to billing, CRM, and reporting destinations. | Prefixes (folders) is specific to Amazon S3 and Invoices to Macola ERP — 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. | GL Accounts & Journal Entries Financial ledger data replicated to warehouses for reporting. | Multipart uploads is specific to Amazon S3 and GL Accounts & Journal Entries to Macola ERP — 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. | Bills of Material Manufacturing structures read for planning and costing integrations. | Buckets is specific to Amazon S3 and Bills of Material to Macola ERP — 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. | Work Orders Shop-floor production orders tracked for status and completion syncs. | Objects is specific to Amazon S3 and Work Orders to Macola ERP — 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. | Customers Customer master records synced with CRMs so sales works from ERP truth. | Object metadata is specific to Amazon S3 and Customers to Macola ERP — 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 applied to Macola ERP as a row-level write, with types converted between the two schemas.
DetectionChanges in Macola ERP are captured at the source via change data capture — no polling loop against its API. CDC or change tracking on the underlying SQL Server database, or timestamp-based 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–Macola ERP connection.
Changes in Amazon S3 or Macola ERP instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon S3 or Macola ERP 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 Macola ERP record.
Track your Amazon S3 ⇄ Macola ERP sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon S3 and Macola ERP.
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 Macola ERP 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 Macola ERP 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 Macola ERP: 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.
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. Macola ERP: SQL Server database access, with product-level integration interfaces in newer Macola versions. Authentication: Database credentials (SQL Server or Windows authentication). Stacksync manages authentication, retries, and rate limits on both sides.
Macola ERP: Macola runs on Microsoft SQL Server, so integrations commonly operate at the database layer, where log-based CDC and change tracking are available. Amazon S3: Objects can be up to 5 TB, but a single PUT is capped at 5 GB, so larger files must use multipart upload, and objects in Glacier storage classes must be restored before their bytes can be read. Stacksync's field mapping accounts for these differences between Amazon S3 and Macola ERP without custom code.
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 Macola ERP records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon S3 and Macola ERP connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon S3–Macola ERP integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon S3 and Macola ERP. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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.
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Every pair below is a real-time, two-way sync. Search all 400 integrations available for Amazon S3 and Macola ERP.