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Database ⇄ ERP

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

Keep Amazon Aurora 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 Amazon Aurora and Sage 300

Give your engineers Sage 300's data in Amazon Aurora: 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 AP Vendors, GL Accounts, Journal Batches, Order Entry Orders from Sage 300 into Amazon Aurora 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 Amazon Aurora sync back into Sage 300 with its validations respected.

Common use cases

  • 01 Stream row-level changes from Aurora into a warehouse for near-real-time analytics without batch exports.
  • 02 Consolidate several Aurora clusters into one reporting database.
  • 03 Keep inventory items and quantities aligned with e-commerce and warehouse systems on a schedule.
  • 04 Sync AR customers, invoices, and balances into a CRM for multi-currency account visibility.

Common sync patterns

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

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

Controlled write-back

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

Read ERP records with a query

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

What you can sync between Amazon Aurora 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.

Amazon Aurora objects Sage 300 objects How this pairing syncs
Databases Logical databases within a cluster that scope a sync connection. AR Customers Receivables customer master synced to CRMs and billing tools. Databases is specific to Amazon Aurora and AR Customers to Sage 300 — each maps to any object or custom field on the other side.
Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. AP Vendors Payables vendor master synced with procurement and payment systems. Schemas is specific to Amazon Aurora and AP Vendors to Sage 300 — each maps to any object or custom field on the other side.
Tables Relational tables synced bi-directionally at row level. GL Accounts Chart of accounts read for transaction mapping across integrations. Tables is specific to Amazon Aurora and GL Accounts to Sage 300 — each maps to any object or custom field on the other side.
Views Read-only query-backed sources for downstream syncs. Journal Batches GL entries staged in batches that must be posted; a common write target for external systems. Views is specific to Amazon Aurora and Journal Batches to Sage 300 — each maps to any object or custom field on the other side.
Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. Order Entry Orders Sales orders written from e-commerce or EDI feeds. Materialized Views is specific to Amazon Aurora and Order Entry Orders to Sage 300 — each maps to any object or custom field on the other side.
Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. Purchase Orders Procurement documents read for spend visibility and receiving. Columns and Data Types is specific to Amazon Aurora and Purchase Orders to Sage 300 — each maps to any object or custom field on the other side.

How changes propagate between Amazon Aurora and Sage 300

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 Aurora Sage 300 Sub-second propagation

DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.

DeliveryEach detected change is applied to Sage 300 as a row-level write, with types converted between the two schemas.

Sage 300 Amazon Aurora Interval-based propagation

DetectionStacksync polls Sage 300 for changes on an incremental schedule, reading only records changed since the previous pass. Scheduled polling.

DeliveryEach detected change is applied to Amazon Aurora as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon Aurora: No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits.
What ships with Amazon Aurora ⇄ Sage 300

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora 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 Amazon Aurora or Sage 300 record.

Observability

Monitoring

Track your Amazon Aurora ⇄ 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 Amazon Aurora and Sage 300.

How the Amazon Aurora and Sage 300 connectors work

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits

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

    Choose tables

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

Amazon Aurora and Sage 300 integration FAQ

SECURITY

Security teams trust 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
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 437 integrations available for Amazon Aurora and Sage 300.

Popular · 7 of 437
All Amazon Aurora integrations All Sage 300 integrations Browse all integrations
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