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ERP ⇄ Database

E2 Shop System to Postgres Heroku integration — real-time data sync

Keep E2 Shop System and Postgres Heroku 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 E2 Shop System and Postgres Heroku

Give your engineers E2 Shop System's data in Postgres Heroku: 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 Postgres Heroku, so Postgres Heroku 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 Invoices, Quotes / Estimates, Jobs / Work orders, Customers from E2 Shop System into Postgres Heroku 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 Postgres Heroku sync back into E2 Shop System with its validations respected.

Common use cases

  • 01 Keep several Heroku app databases aligned with one system of record
  • 02 Reflect billing and subscription records into the app database so product logic reads local rows
  • 03 Sync customer and invoice data to accounting or CRM so the front office is not re-keying from the ERP.
  • 04 Land quote, job cost, and time-ticket data in a warehouse for margin analysis across jobs.

Common sync patterns

Internal tools and automations without API code

Scripts and services read and write the synced tables; Stacksync handles the E2 Shop System interface, limits, and retries.

React to ERP changes

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

What you can sync between E2 Shop System and Postgres Heroku

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 Postgres Heroku objects How this pairing syncs
Purchase orders Outside material and service purchases tied to jobs. Views Read-side projections exposed to outbound syncs. Purchase orders is specific to E2 Shop System and Views to Postgres Heroku — each maps to any object or custom field on the other side.
Time tickets Labor collection records used for job costing. Materialized Views Precomputed result sets synced outward on refresh. Time tickets is specific to E2 Shop System and Materialized Views to Postgres Heroku — each maps to any object or custom field on the other side.
Invoices Billing records synced to accounting for AR reporting. Schemas Namespaces that scope which tables a sync reads and writes. Invoices is specific to E2 Shop System and Schemas to Postgres Heroku — each maps to any object or custom field on the other side.
Quotes / Estimates Job shop quotes with material and routing cost buildups; the start of the order lifecycle. Primary and Unique Keys Match keys for idempotent upserts from connected systems. Quotes / Estimates is specific to E2 Shop System and Primary and Unique Keys to Postgres Heroku — each maps to any object or custom field on the other side.
Jobs / Work orders Released work with routings and status; the record shop-floor dashboards track. JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. Jobs / Work orders is specific to E2 Shop System and JSONB Columns to Postgres Heroku — each maps to any object or custom field on the other side.
Customers Buyer records synced to CRM or accounting counterparts. Sequences Generate surrogate keys for rows created by inbound syncs. Customers is specific to E2 Shop System and Sequences to Postgres Heroku — each maps to any object or custom field on the other side.

How changes propagate between E2 Shop System and Postgres Heroku

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.

E2 Shop System Postgres Heroku Interval-based propagation

DetectionStacksync polls E2 Shop System for changes on an incremental schedule, reading only records changed since the previous pass. Polling database tables or scheduled exports.

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

Postgres Heroku E2 Shop System Interval-based propagation

DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.

DeliveryE2 Shop System does not accept inbound record writes, so this direction carries requests rather than records: E2 Shop System's output flows back as field updates on the originating Postgres Heroku records.

Rate-limit considerations

  • E2 Shop System: Not API-bound; constrained by on-premises database access windows.
  • Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with E2 Shop System ⇄ Postgres Heroku

Connect E2 Shop System and Postgres Heroku for flexible, real-time data sync.

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

Real-time

Real-time sync

Changes in E2 Shop System or Postgres Heroku 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 Postgres Heroku 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 Postgres Heroku record.

Observability

Monitoring

Track your E2 Shop System ⇄ Postgres Heroku 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 Postgres Heroku.

How the E2 Shop System and Postgres Heroku 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

Postgres Heroku

Integration surface
SQL wire protocol (standard PostgreSQL)
Authentication
Database credentials from the Heroku DATABASE_URL config var; SSL required
Change detection
Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
Capabilities
read · write
Rate limits
No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works

How to connect E2 Shop System to Postgres Heroku — 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 Postgres Heroku 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
    Postgres Heroku connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the E2 Shop System and Postgres Heroku 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 ⇄ Postgres Heroku
    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 Postgres Heroku
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

E2 Shop System and Postgres Heroku 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.

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:

Related integrations

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