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Storage ⇄ ERP

Amazon S3 to Rootstock ERP integration — real-time, two-way sync

Keep Amazon S3 and Rootstock 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.

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Why teams connect Amazon S3 and Rootstock ERP

Move the documents and data that Rootstock ERP produces into Amazon S3 as files, and let files stored in Amazon S3 update the records they belong to in Rootstock ERP, continuously and without exports or manual filing.

Rootstock ERP runs the business on structured records: Salesforce Accounts and Contacts, Sales Orders, Work Orders, Purchase Orders. 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 Rootstock 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 Rootstock 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 Salesforce Accounts and Contacts, Sales Orders, Work Orders, Purchase Orders in Rootstock ERP 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 Rootstock 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 Rootstock ERP and the file in Amazon S3 never describe two different versions of the same document.

Common use cases

  • 01 Replicate work order and inventory data to a Postgres database or warehouse for shop-floor and planning analytics.
  • 02 Sync inventory availability by site to e-commerce storefronts so promised dates reflect real stock.
  • 03 Trigger a database or ERP record update the moment an S3 Event Notification fires an object-created event, for example when a partner drops an EDI or invoice file into an inbound prefix.
  • 04 Reconcile Object versions and delete markers into an audit table so teams track when files under a compliance prefix were added, replaced, or removed.

Common sync patterns

An archive that stays current

As records change in Rootstock 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.

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 Rootstock ERP.

Documents filed with their context

Files that Rootstock 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.

What you can sync between Amazon S3 and Rootstock ERP

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 Rootstock ERP objects How this pairing syncs
Buckets Top-level, region-scoped containers that hold objects; enumerated to discover the namespaces and prefixes a sync should cover. Purchase Orders Procurement documents synced with supplier portals and AP systems. Buckets is specific to Amazon S3 and Purchase Orders to Rootstock 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. Items / Products The manufacturing item master, kept aligned with e-commerce and PLM systems. Objects is specific to Amazon S3 and Items / Products to Rootstock 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. Bills of Material Multi-level product structures read for costing and planning integrations. Object metadata is specific to Amazon S3 and Bills of Material to Rootstock ERP — 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 Balances On-hand quantities by site and location, synced to storefronts and WMS. Object tags is specific to Amazon S3 and Inventory Balances to Rootstock ERP — 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. Receipts and Shipments Inbound and outbound transactions synced to logistics and 3PL systems. Object versions is specific to Amazon S3 and Receipts and Shipments to Rootstock 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. Salesforce Accounts and Contacts Shared CRM masters in the same org, so customer data needs no separate ERP sync. Prefixes (folders) is specific to Amazon S3 and Salesforce Accounts and Contacts to Rootstock ERP — each maps to any object or custom field on the other side.

How changes propagate between Amazon S3 and Rootstock ERP

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 Rootstock ERP 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 Rootstock ERP through its API, with automatic retries and rate-limit backoff.

Rootstock ERP Amazon S3 Sub-second propagation

DetectionChanges in Rootstock ERP are captured at the source via change data capture — no polling loop against its API. Salesforce Change Data Capture on Rootstock custom objects where enabled (entity selection limits apply).

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.
  • Rootstock ERP: Consumes the Salesforce org's daily API request allocation, shared with other integrations.
What ships with Amazon S3 ⇄ Rootstock ERP

Connect Amazon S3 and Rootstock ERP for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon S3–Rootstock ERP connection.

Real-time

Two-way sync

Changes in Amazon S3 or Rootstock ERP instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon S3 or Rootstock ERP 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 Rootstock ERP record.

Observability

Monitoring

Track your Amazon S3 ⇄ Rootstock ERP 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 Rootstock ERP.

How the Amazon S3 and Rootstock ERP 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.

Rootstock ERP

Integration surface
Salesforce Platform APIs (REST, SOAP, Bulk) — Rootstock data lives in Salesforce custom objects
Authentication
OAuth 2.0 (standard Salesforce connected app flows)
Change detection
Salesforce Change Data Capture on Rootstock custom objects where enabled (entity selection limits apply); SOQL polling on SystemModstamp as fallback
Capabilities
read · write · CDC
Rate limits
Consumes the Salesforce org's daily API request allocation, shared with other integrations
How it works

How to connect Amazon S3 to Rootstock ERP — 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.

  1. 01

    Connect your apps

    Authenticate Amazon S3 and Rootstock ERP with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Amazon S3 connected
    Rootstock ERP connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon S3 and Rootstock 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Amazon S3 ⇄ Rootstock ERP
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Amazon S3 Rootstock ERP
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon S3 and Rootstock ERP integration FAQ

SECURITY

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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.

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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 399 integrations available for Amazon S3 and Rootstock ERP.

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