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Database ⇄ ERP

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

Keep AWS Aurora MySQL 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 Aurora MySQL and Sage 300

Give your engineers Sage 300's data in AWS Aurora MySQL: read it with normal queries, write back through the sync, and skip the ERP API entirely.

ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.

Stacksync mirrors GL Accounts, Journal Batches, Order Entry Orders, Purchase Orders from Sage 300 into AWS Aurora MySQL and keeps both sides consistent in real time. Whatever Sage 300 is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in AWS Aurora MySQL sync back into Sage 300 with its validations respected.

Common use cases

  • Let operations teams edit records in a spreadsheet-style tool with changes written back to Aurora safely.
  • Give backend services read and write access to ERP or billing data by syncing it into Aurora tables the application already queries.
  • Write web and EDI orders into Order Entry and return order status to the source channel.
  • Replicate GL, AR, and AP detail to a warehouse for consolidated multi-company reporting.

Where Sage 300 is the HR system of record: people data for internal systems

Worker and org records stay current in AWS Aurora MySQL for provisioning, access, and reporting systems that read from the database.

Controlled write-back

Choose exactly which tables and fields may flow from AWS Aurora MySQL back into Sage 300, keeping the ERP authoritative.

Read ERP records with a query

Records from Sage 300 live in AWS Aurora MySQL as ordinary tables or collections, joinable with the rest of your data.

What you can sync between AWS Aurora MySQL 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 Aurora MySQL objects Sage 300 objects
Databases (schemas) Logical namespaces that scope which tables a sync connection can see. AR Customers Receivables customer master synced to CRMs and billing tools.
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. AP Vendors Payables vendor master synced with procurement and payment systems.
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. GL Accounts Chart of accounts read for transaction mapping across integrations.
Columns MySQL data types are mapped to the paired system's field types during schema setup. Journal Batches GL entries staged in batches that must be posted; a common write target for external systems.
Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. Order Entry Orders Sales orders written from e-commerce or EDI feeds.
Views Can serve as read-only sync sources for derived or filtered datasets. Purchase Orders Procurement documents read for spend visibility and receiving.
What ships with AWS Aurora MySQL ⇄ Sage 300

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

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

Real-time

Two-way sync

Changes in AWS Aurora MySQL 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 Aurora MySQL 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 Aurora MySQL or Sage 300 record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ 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 Aurora MySQL and Sage 300.

How the AWS Aurora MySQL and Sage 300 connectors work

AWS Aurora MySQL

Integration surface
SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback
Capabilities
read · write · CDC

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 Aurora MySQL 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 Aurora MySQL 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 Aurora MySQL connected
    Sage 300 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora MySQL 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 Aurora MySQL ⇄ 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 Aurora MySQL Sage 300
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora MySQL 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 Aurora MySQL and Sage 300.

Popular · 8 of 386
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