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Data warehouse ⇄ ERP

AWS S3 to Sage 100 integration — real-time, two-way sync

Keep AWS 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 AWS S3 and Sage 100

Put Sage 100's records in AWS S3 as live tables for reporting and analysis, without extract jobs, and write results back where Sage 100 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 100 carries financials, operations, workforce data, or all three, the analysis belongs in AWS S3 next to everything else the company measures.

Stacksync syncs Vendors, Inventory Items, Sales Orders, AR Invoices from Sage 100 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 100 where that is useful.

Common use cases

  • Ingest partner or vendor file drops (CSV, JSON, Parquet) from a bucket into a database or CRM as records.
  • Export synced operational data to S3 as files feeding a data lake or downstream batch jobs.
  • Replicate GL and sales history to a warehouse or Postgres database for reporting off the on-premise system.
  • Sync customers, invoices, and payment status into a CRM so sales sees AR standing without opening the ERP.

Where Sage 100 is the HR system of record: workforce analytics

Worker and organization data syncs into AWS S3 for headcount, cost, and planning analysis alongside other company data.

Where Sage 100 runs operations: order and supply analysis

Operational records become queryable tables in AWS S3, joinable with sales and finance data.

Group reporting across systems

Combine Sage 100's records with data synced from other systems in AWS S3 for consolidated views no single system can produce.

What you can sync between AWS 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.

AWS S3 objects Sage 100 objects
Access Points Scoped network endpoints used to grant a sync narrow access to a bucket. Journal Entries Posted GL activity replicated to warehouses for FP&A.
Multipart Uploads The mechanism used to write large export files reliably. Customers AR customer master records synced to CRMs for account and credit visibility.
Buckets Top-level containers a sync targets; region and policy are set at this level. Vendors AP vendor master records synced with procurement and payment tools.
Objects The stored files (CSV, JSON, Parquet); syncs read them as datasets or write exports into them. Inventory Items Item master with pricing and quantities, synced to e-commerce catalogs.
Prefixes Key-name paths used to partition synced datasets, since S3 has no real directories. Sales Orders Order headers and lines, the usual write target for web and EDI orders.
Object Metadata System and user-defined metadata read alongside object contents. AR Invoices Billing documents synced outward for payment status and revenue reporting.
What ships with AWS S3 ⇄ Sage 100

Connect AWS S3 and Sage 100 for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS S3–Sage 100 connection.

Real-time

Two-way sync

Changes in AWS S3 or Sage 100 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 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 AWS S3 or Sage 100 record.

Observability

Monitoring

Track your AWS 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 AWS S3 and Sage 100.

How the AWS S3 and Sage 100 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 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 AWS 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.

  1. 01

    Connect your apps

    Authenticate AWS 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    AWS S3 connected
    Sage 100 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · AWS S3 ⇄ Sage 100
    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 100
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS S3 and Sage 100 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 100.

Popular · 8 of 386
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