Skip to content
Database ⇄ ERP

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

Keep AWS Aurora MySQL 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

Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect AWS Aurora MySQL and Sage X3

Give your engineers Sage X3'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 Sales Orders, Purchase Orders, Work Orders, Stock / Inventory by site from Sage X3 into AWS Aurora MySQL 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 AWS Aurora MySQL sync back into Sage X3 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.
  • Feed work order and BOM data to MES or planning tools on the shop floor.
  • Sync business partners and products between Sage X3 and a CRM so global sales teams quote from current ERP masters.

Controlled write-back

Choose exactly which tables and fields may flow from AWS Aurora MySQL back into Sage X3, keeping the ERP authoritative.

Read ERP records with a query

Records from Sage X3 live in AWS Aurora MySQL 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.

What you can sync between AWS Aurora MySQL 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.

AWS Aurora MySQL objects Sage X3 objects
Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. Purchase Orders Procurement documents synced with supplier-facing systems.
Databases (schemas) Logical namespaces that scope which tables a sync connection can see. Work Orders Production orders read by MES and scheduling integrations.
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. Stock / Inventory by site On-hand and allocated quantities per site, synced to storefronts and WMS.
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Bills of Material Product structures read for planning and costing.
Columns MySQL data types are mapped to the paired system's field types during schema setup. GL Journals Financial entries replicated to warehouses for group reporting.
Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. Deliveries Shipment documents synced to logistics providers and customer portals.
What ships with AWS Aurora MySQL ⇄ Sage X3

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

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

Real-time

Two-way sync

Changes in AWS Aurora MySQL or Sage X3 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 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 AWS Aurora MySQL or Sage X3 record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ 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 AWS Aurora MySQL and Sage X3.

How the AWS Aurora MySQL and Sage X3 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 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 AWS Aurora MySQL 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 AWS Aurora MySQL 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
    AWS Aurora MySQL connected
    Sage X3 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora MySQL 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 · AWS Aurora MySQL ⇄ 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
    AWS Aurora MySQL Sage X3
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

AWS Aurora MySQL 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 AWS Aurora MySQL and Sage X3.

Popular · 8 of 386
All AWS Aurora MySQL integrations All Sage X3 integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own