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Database ⇄ ERP

Amazon Aurora to Sage X3 integration — real-time, two-way sync

Keep Amazon Aurora and Sage X3 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 X3

Give your engineers Sage X3'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 Stock / Inventory by site, Bills of Material, GL Journals, Deliveries from Sage X3 into Amazon Aurora and keeps both sides consistent in real time. Whatever Sage X3 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 X3 with its validations respected.

Common use cases

  • Write enriched or scored records from analytics pipelines back into the Aurora tables that power an application.
  • Offload sync reads to Aurora reader endpoints to avoid load on the writer instance.
  • Push orders from e-commerce or EDI channels into X3 sales orders and return delivery status.
  • Publish per-site stock levels to storefronts and a WMS on a schedule.

Read ERP records with a query

Records from Sage X3 live in Amazon Aurora as ordinary tables or collections, joinable with the rest of your data.

Internal tools and automations without API code

Scripts and services read and write the synced tables; Stacksync handles the Sage X3 interface, limits, and retries.

React to ERP changes

Updates in Sage X3 arrive as row changes in Amazon Aurora, so jobs and triggers can respond as the business record changes.

What you can sync between Amazon Aurora and Sage X3

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 X3 objects
Read Replicas Reader endpoints that syncs can target to keep load off the writer. Deliveries Shipment documents synced to logistics providers and customer portals.
Databases Logical databases within a cluster that scope a sync connection. Business Partners (Customers and Suppliers) Shared partner master synced with CRMs and procurement systems.
Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. Products Item master with units, costing, and site data, synced to commerce and PLM tools.
Tables Relational tables synced bi-directionally at row level. Sales Orders Order documents written from external channels and read for fulfillment status.
Views Read-only query-backed sources for downstream syncs. Purchase Orders Procurement documents synced with supplier-facing systems.
Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. Work Orders Production orders read by MES and scheduling integrations.
What ships with Amazon Aurora ⇄ Sage X3

Connect Amazon Aurora and Sage X3 for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Sage X3 connection.

Real-time

Two-way sync

Changes in Amazon Aurora or Sage X3 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 X3 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 X3 record.

Observability

Monitoring

Track your Amazon Aurora ⇄ Sage X3 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 X3.

How the Amazon Aurora and Sage X3 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 X3

Integration surface
SOAP and REST web services published from X3 business objects; direct SQL access to the underlying database on-prem
Authentication
Dedicated web-service user credentials (Basic auth) against configured connection pools
Change detection
Scheduled polling; no general webhook surface on the classic web services layer
Capabilities
read · write
How it works

How to connect Amazon Aurora to Sage X3 — 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 X3 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 X3 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Aurora and Sage X3 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 X3
    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 X3
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon Aurora and Sage X3 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 Amazon Aurora and Sage X3.

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