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Data warehouse ⇄ ERP

AWS S3 to Sage 300 integration — real-time, two-way sync

Keep AWS 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 AWS S3 and Sage 300

Put Sage 300's records in AWS S3 as live tables for reporting and analysis, without extract jobs, and write results back where Sage 300 can use them.

ERP data is some of the most asked-for data in the warehouse and some of the hardest to get: the record types are many, the APIs are strict, and extract jobs are brittle. Whether Sage 300 carries financials, operations, workforce data, or all three, the analysis belongs in AWS S3 next to everything else the company measures.

Stacksync syncs GL Accounts, Journal Batches, Order Entry Orders, Purchase Orders from Sage 300 into tables in AWS S3 continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in AWS S3 can be written back to fields in Sage 300 where that is useful.

Common use cases

  • Archive change history from ongoing syncs as timestamped files for audit and replay.
  • Ingest partner or vendor file drops (CSV, JSON, Parquet) from a bucket into a database or CRM as records.
  • Sync AR customers, invoices, and balances into a CRM for multi-currency account visibility.
  • Write web and EDI orders into Order Entry and return order status to the source channel.

Group reporting across systems

Combine Sage 300's records with data synced from other systems in AWS S3 for consolidated views no single system can produce.

Write-back where Sage 300 exposes writable fields

Classifications or reference values computed in AWS S3 sync back onto the corresponding records in Sage 300.

Where Sage 300 holds the books: finance reporting from live data

Financial records land in AWS S3 as they change, so period-end reporting queries current numbers rather than last night's extract.

What you can sync between AWS 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.

AWS S3 objects Sage 300 objects
Prefixes Key-name paths used to partition synced datasets, since S3 has no real directories. AP Vendors Payables vendor master synced with procurement and payment systems.
Object Metadata System and user-defined metadata read alongside object contents. GL Accounts Chart of accounts read for transaction mapping across integrations.
Object Versions Prior copies retained when versioning is enabled, relevant for reprocessing. Journal Batches GL entries staged in batches that must be posted; a common write target for external systems.
Event Notifications Notifications on object creation or deletion that trigger incremental processing. Order Entry Orders Sales orders written from e-commerce or EDI feeds.
Access Points Scoped network endpoints used to grant a sync narrow access to a bucket. Purchase Orders Procurement documents read for spend visibility and receiving.
Multipart Uploads The mechanism used to write large export files reliably. Inventory Items Item master with costing and quantities, synced to storefronts and WMS.
What ships with AWS S3 ⇄ Sage 300

Connect AWS S3 and Sage 300 for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS S3–Sage 300 connection.

Real-time

Two-way sync

Changes in AWS S3 or Sage 300 instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS 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 AWS S3 or Sage 300 record.

Observability

Monitoring

Track your AWS 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 AWS S3 and Sage 300.

How the AWS S3 and Sage 300 connectors work

AWS S3

Integration surface
REST API (the S3 API), accessed directly or through AWS SDKs
Authentication
AWS IAM credentials with SigV4 signing; commonly a role scoped to specific buckets and prefixes
Change detection
S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge; list-based polling as a fallback
Capabilities
read · write · webhooks
Rate limits
Request throughput scales per prefix; sustained high-volume workloads should spread keys across prefixes

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 AWS 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.

  1. 01

    Connect your apps

    Authenticate AWS 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    AWS S3 connected
    Sage 300 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · AWS S3 ⇄ Sage 300
    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
    AWS S3 Sage 300
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS S3 and Sage 300 integration FAQ

SECURITY

Security teams love 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.

Learn more about security
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
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:

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 386 integrations available for AWS S3 and Sage 300.

Popular · 8 of 386
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