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ERP ⇄ Database

E2 Shop System to Google Cloud SQL integration — real-time data sync

Keep E2 Shop System and Google Cloud SQL 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 E2 Shop System and Google Cloud SQL

Give your engineers E2 Shop System's data in Google Cloud SQL: 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 Google Cloud SQL, so Google Cloud SQL 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 Google Cloud SQL 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 Google Cloud SQL sync back into E2 Shop System with its validations respected.

Common use cases

  • Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.
  • Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.
  • Replicate job and work order status into a reporting database to power shop-floor and delivery dashboards.
  • Sync customer and invoice data to accounting or CRM so the front office is not re-keying from the ERP.

React to ERP changes

Updates in E2 Shop System arrive as row changes in Google Cloud SQL, 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 Google Cloud SQL for provisioning, access, and reporting systems that read from the database.

Controlled write-back

Choose exactly which tables and fields may flow from Google Cloud SQL back into E2 Shop System, keeping the ERP authoritative.

What you can sync between E2 Shop System and Google Cloud SQL

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.

E2 Shop System objects Google Cloud SQL objects
Purchase orders Outside material and service purchases tied to jobs. Databases Scope the tables included in a sync configuration.
Time tickets Labor collection records used for job costing. Schemas Namespace tables in PostgreSQL and SQL Server instances.
Invoices Billing records synced to accounting for AR reporting. Tables Mapped directly to sync targets; schema changes can be propagated.
Quotes / Estimates Job shop quotes with material and routing cost buildups; the start of the order lifecycle. Rows Read and written by primary key during each sync cycle.
Jobs / Work orders Released work with routings and status; the record shop-floor dashboards track. Views Read-only sources for shaping data before syncing it out.
Customers Buyer records synced to CRM or accounting counterparts. Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture.
What ships with E2 Shop System ⇄ Google Cloud SQL

Connect E2 Shop System and Google Cloud SQL for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every E2 Shop System–Google Cloud SQL connection.

Real-time

Real-time sync

Changes in E2 Shop System or Google Cloud SQL instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever E2 Shop System or Google Cloud SQL 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 E2 Shop System or Google Cloud SQL record.

Observability

Monitoring

Track your E2 Shop System ⇄ Google Cloud SQL sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between E2 Shop System and Google Cloud SQL.

How the E2 Shop System and Google Cloud SQL connectors work

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

Google Cloud SQL

Integration surface
Native SQL wire protocols (MySQL, PostgreSQL, SQL Server) plus a REST admin API for instance management
Authentication
Database credentials; IAM database authentication is available for MySQL and PostgreSQL
Change detection
Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking; polling as a fallback
Capabilities
read · write · CDC
Rate limits
Constrained by instance size and connection limits rather than API quotas.
How it works

How to connect E2 Shop System to Google Cloud SQL — 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 E2 Shop System and Google Cloud SQL 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
    E2 Shop System connected
    Google Cloud SQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the E2 Shop System and Google Cloud SQL 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 · E2 Shop System ⇄ Google Cloud SQL
    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
    E2 Shop System Google Cloud SQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

E2 Shop System and Google Cloud SQL 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.

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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for E2 Shop System and Google Cloud SQL.

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