Skip to content
Database ⇄ ERP

Postgres Heroku to Sage 300 integration — real-time, two-way sync

Keep Postgres Heroku and Sage 300 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

Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Postgres Heroku and Sage 300

Give your engineers Sage 300'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 AR Customers, AP Vendors, GL Accounts, Journal Batches from Sage 300 into Postgres Heroku and keeps both sides consistent in real time. Whatever Sage 300 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 300 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
  • Write web and EDI orders into Order Entry and return order status to the source channel.
  • Replicate GL, AR, and AP detail to a warehouse for consolidated multi-company reporting.

Controlled write-back

Choose exactly which tables and fields may flow from Postgres Heroku back into Sage 300, keeping the ERP authoritative.

Read ERP records with a query

Records from Sage 300 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 300 interface, limits, and retries.

What you can sync between Postgres Heroku and Sage 300

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 300 objects
Sequences Generate surrogate keys for rows created by inbound syncs. AR Invoices and Receipts Billing and payment records replicated for cash and revenue reporting.
Follower Databases Heroku-managed read replicas usable as low-impact sync sources. AR Customers Receivables customer master synced to CRMs and billing tools.
Tables Standard Postgres tables; the primary two-way sync target for app data. AP Vendors Payables vendor master synced with procurement and payment systems.
Views Read-side projections exposed to outbound syncs. GL Accounts Chart of accounts read for transaction mapping across integrations.
Materialized Views Precomputed result sets synced outward on refresh. Journal Batches GL entries staged in batches that must be posted; a common write target for external systems.
Schemas Namespaces that scope which tables a sync reads and writes. Order Entry Orders Sales orders written from e-commerce or EDI feeds.
What ships with Postgres Heroku ⇄ Sage 300

Connect Postgres Heroku and Sage 300 for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Postgres Heroku–Sage 300 connection.

Real-time

Two-way sync

Changes in Postgres Heroku or Sage 300 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 300 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 300 record.

Observability

Monitoring

Track your Postgres Heroku ⇄ Sage 300 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 300.

How the Postgres Heroku and Sage 300 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 300

Integration surface
Sage 300 Web API (REST) on newer releases; .NET/COM SDK and direct SQL Server access on-prem
Authentication
Sage 300 user credentials (Basic auth on the Web API); database credentials for direct SQL reads
Change detection
Scheduled polling; batch-oriented modules with no webhook surface
Capabilities
read · write
How it works

How to connect Postgres Heroku to Sage 300 — 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 300 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 300 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Postgres Heroku and Sage 300 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 300
    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 300
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Postgres Heroku and Sage 300 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 Postgres Heroku and Sage 300.

Popular · 8 of 386
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.