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Database ⇄ ERP

Postgres Heroku to Sage X3 integration — real-time, two-way sync

Keep Postgres Heroku 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.

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

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Migrated from Fivetran
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Why teams connect Postgres Heroku and Sage X3

Give your engineers Sage X3's data in Postgres Heroku: 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 Products, Sales Orders, Purchase Orders, Work Orders from Sage X3 into Postgres Heroku 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 Postgres Heroku sync back into Sage X3 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 Feed work order and BOM data to MES or planning tools on the shop floor.
  • 04 Sync business partners and products between Sage X3 and a CRM so global sales teams quote from current ERP masters.

Common sync patterns

Controlled write-back

Choose exactly which tables and fields may flow from Postgres Heroku back into Sage X3, keeping the ERP authoritative.

Read ERP records with a query

Records from Sage X3 live in Postgres Heroku 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 Postgres Heroku 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.

Postgres Heroku objects Sage X3 objects How this pairing syncs
Follower Databases Heroku-managed read replicas usable as low-impact sync sources. Bills of Material Product structures read for planning and costing. Follower Databases is specific to Postgres Heroku and Bills of Material to Sage X3 — each maps to any object or custom field on the other side.
Tables Standard Postgres tables; the primary two-way sync target for app data. GL Journals Financial entries replicated to warehouses for group reporting. Tables is specific to Postgres Heroku and GL Journals to Sage X3 — each maps to any object or custom field on the other side.
Views Read-side projections exposed to outbound syncs. Deliveries Shipment documents synced to logistics providers and customer portals. Views is specific to Postgres Heroku and Deliveries to Sage X3 — each maps to any object or custom field on the other side.
Materialized Views Precomputed result sets synced outward on refresh. Business Partners (Customers and Suppliers) Shared partner master synced with CRMs and procurement systems. Materialized Views is specific to Postgres Heroku and Business Partners (Customers and Suppliers) to Sage X3 — each maps to any object or custom field on the other side.
Schemas Namespaces that scope which tables a sync reads and writes. Products Item master with units, costing, and site data, synced to commerce and PLM tools. Schemas is specific to Postgres Heroku and Products to Sage X3 — each maps to any object or custom field on the other side.
Primary and Unique Keys Match keys for idempotent upserts from connected systems. Sales Orders Order documents written from external channels and read for fulfillment status. Primary and Unique Keys is specific to Postgres Heroku and Sales Orders to Sage X3 — each maps to any object or custom field on the other side.

How changes propagate between Postgres Heroku and Sage X3

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.

Postgres Heroku Sage X3 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.

DeliveryEach detected change is applied to Sage X3 as a row-level write, with types converted between the two schemas.

Sage X3 Postgres Heroku Interval-based propagation

DetectionStacksync polls Sage X3 for changes on an incremental schedule, reading only records changed since the previous pass. Scheduled polling.

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

Rate-limit considerations

  • Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with Postgres Heroku ⇄ Sage X3

Connect Postgres Heroku and Sage X3 for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Postgres Heroku or Sage X3 instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Postgres Heroku 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 Postgres Heroku or Sage X3 record.

Observability

Monitoring

Track your Postgres Heroku ⇄ 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 Postgres Heroku and Sage X3.

How the Postgres Heroku and Sage X3 connectors work

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

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 Postgres Heroku 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 Postgres Heroku 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
    Postgres Heroku connected
    Sage X3 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Postgres Heroku 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 · Postgres Heroku ⇄ 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
    Postgres Heroku Sage X3
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Postgres Heroku and Sage X3 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.

Learn more about security
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:

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 450 integrations available for Postgres Heroku and Sage X3.

Popular · 7 of 450
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