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Database ⇄ ERP

AWS Aurora MySQL to E2 Shop System integration — real-time data sync

Keep AWS Aurora MySQL and E2 Shop System in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect AWS Aurora MySQL and E2 Shop System

Give your engineers E2 Shop System's data in AWS Aurora MySQL: read it with normal queries, write back through the sync, and skip the ERP API entirely.

E2 Shop System is a read-only source: Stacksync reads its data in real time and delivers it into AWS Aurora MySQL, so AWS Aurora MySQL always reflects the current state of E2 Shop System — without exports, scripts, or schedulers.

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 Purchase orders, Time tickets, Invoices, Quotes / Estimates from E2 Shop System into AWS Aurora MySQL and keeps both sides consistent in real time. Whatever E2 Shop System 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 E2 Shop System 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.
  • Sync customer and invoice data to accounting or CRM so the front office is not re-keying from the ERP.
  • Land quote, job cost, and time-ticket data in a warehouse for margin analysis across jobs.

React to ERP changes

Updates in E2 Shop System arrive as row changes in AWS Aurora MySQL, so jobs and triggers can respond as the business record changes.

Where E2 Shop System 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 E2 Shop System, keeping the ERP authoritative.

What you can sync between AWS Aurora MySQL and E2 Shop System

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 E2 Shop System objects
Databases (schemas) Logical namespaces that scope which tables a sync connection can see. Vendors Supplier records referenced on purchasing documents.
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. Parts Part masters with routings and material definitions specific to each shop.
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Routings / Operations Per-part operation sequences that carry estimated and actual times.
Columns MySQL data types are mapped to the paired system's field types during schema setup. Purchase orders Outside material and service purchases tied to jobs.
Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. Time tickets Labor collection records used for job costing.
Views Can serve as read-only sync sources for derived or filtered datasets. Invoices Billing records synced to accounting for AR reporting.
What ships with AWS Aurora MySQL ⇄ E2 Shop System

Connect AWS Aurora MySQL and E2 Shop System for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–E2 Shop System connection.

Real-time

Real-time sync

Changes in AWS Aurora MySQL or E2 Shop System 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 E2 Shop System 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 E2 Shop System record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ E2 Shop System 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 E2 Shop System.

How the AWS Aurora MySQL and E2 Shop System 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

E2 Shop System

Integration surface
No broadly documented public web API; integration typically works through the underlying database or application import/export, depending on deployment
Authentication
Database credentials or application-level export access on the on-premises installation
Change detection
Polling database tables or scheduled exports
Capabilities
read
Rate limits
Not API-bound; constrained by on-premises database access windows
How it works

How to connect AWS Aurora MySQL to E2 Shop System — 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 E2 Shop System 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
    E2 Shop System connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora MySQL and E2 Shop System 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 ⇄ E2 Shop System
    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 E2 Shop System
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora MySQL and E2 Shop System 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 E2 Shop System.

Popular · 8 of 386
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