Can you integrate Postgres Heroku with Sage X3?

Yes. Stacksync provides a managed, real-time two-way integration between Postgres Heroku and Sage X3: authenticate both systems, choose the objects to sync (such as Postgres Heroku's Follower Databases and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.

Is Stacksync a managed Postgres Heroku–Sage X3 connector?

Yes — Stacksync ships production-grade connectors for both Postgres Heroku and Sage X3. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.

How does the Postgres Heroku to Sage X3 sync work?

Change detection on Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. On Sage X3: Scheduled polling; no general webhook surface on the classic web services layer. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.

Which Postgres Heroku objects can I sync with Sage X3?

On the Postgres Heroku side: Primary and Unique Keys, JSONB Columns, Sequences, Follower Databases, plus custom fields where Postgres Heroku exposes them. On the Sage X3 side: Products, Sales Orders, Purchase Orders, Work Orders. Stacksync auto-detects both schemas and converts types between the two systems.

Can the Postgres Heroku–Sage X3 sync run one-way instead of two-way?

Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.

How do teams use the Postgres Heroku and Sage X3 integration?

Common patterns for Postgres Heroku and Sage X3: Controlled write-back; Read ERP records with a query; Internal tools and automations without API code. Choose exactly which tables and fields may flow from Postgres Heroku back into Sage X3, keeping the ERP authoritative.

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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Postgres Heroku

Sage X3

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100M+: records

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

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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

Keep several Heroku app databases aligned with one system of record
Reflect billing and subscription records into the app database so product logic reads local rows
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 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
Follower Databases Heroku-managed read replicas usable as low-impact sync sources.	⇄	Bills of Material Product structures read for planning and costing.
Tables Standard Postgres tables; the primary two-way sync target for app data.	⇄	GL Journals Financial entries replicated to warehouses for group reporting.
Views Read-side projections exposed to outbound syncs.	⇄	Deliveries Shipment documents synced to logistics providers and customer portals.
Materialized Views Precomputed result sets synced outward on refresh.	⇄	Business Partners (Customers and Suppliers) Shared partner master synced with CRMs and procurement systems.
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.
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.

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.

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
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
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

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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.

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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 Postgres Heroku and Sage X3.

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

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