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ERP ⇄ Database

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

Keep Acumatica 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 Acumatica and Postgres Heroku

Give your engineers Acumatica'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 Payments, Journal Transactions, Projects, Opportunities and Cases from Acumatica into Postgres Heroku and keeps both sides consistent in real time. Whatever Acumatica 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 Acumatica 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 Create sales orders in Acumatica from e-commerce platforms and sync shipment and tracking status back to the storefront.
  • 04 Mirror stock items and quantities to external channels so availability stays accurate across systems.

Common sync patterns

Controlled write-back

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

Read ERP records with a query

Records from Acumatica 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 Acumatica interface, limits, and retries.

What you can sync between Acumatica 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.

Acumatica objects Postgres Heroku objects How this pairing syncs
Payments Customer payment records reconciled against invoices from payment platforms. Tables Standard Postgres tables; the primary two-way sync target for app data. Payments is specific to Acumatica and Tables to Postgres Heroku — each maps to any object or custom field on the other side.
Journal Transactions GL entries replicated into reporting databases. Views Read-side projections exposed to outbound syncs. Journal Transactions is specific to Acumatica and Views to Postgres Heroku — each maps to any object or custom field on the other side.
Projects Project cost and billing structures synced with delivery tools. Materialized Views Precomputed result sets synced outward on refresh. Projects is specific to Acumatica and Materialized Views to Postgres Heroku — each maps to any object or custom field on the other side.
Opportunities and Cases Built-in CRM records synced with external sales and support tools. Schemas Namespaces that scope which tables a sync reads and writes. Opportunities and Cases is specific to Acumatica and Schemas to Postgres Heroku — each maps to any object or custom field on the other side.
Customers AR master data synced with CRMs and billing tools. Primary and Unique Keys Match keys for idempotent upserts from connected systems. Customers is specific to Acumatica and Primary and Unique Keys to Postgres Heroku — each maps to any object or custom field on the other side.
Vendors Supplier records aligned with procurement and AP automation. JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. Vendors is specific to Acumatica and JSONB Columns to Postgres Heroku — each maps to any object or custom field on the other side.

How changes propagate between Acumatica 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.

Acumatica Postgres Heroku Sub-second propagation

DetectionAcumatica notifies Stacksync of record changes through webhook events. Push notifications configurable on data changes, plus polling on LastModifiedDateTime fields.

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

Postgres Heroku Acumatica 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 written to Acumatica through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

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

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Acumatica 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 Acumatica or Postgres Heroku record.

Observability

Monitoring

Track your Acumatica ⇄ 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 Acumatica and Postgres Heroku.

How the Acumatica and Postgres Heroku connectors work

Acumatica

Integration surface
Contract-based REST API (JSON over versioned endpoints), plus SOAP web services and OData access to Generic Inquiries
Authentication
OAuth 2.0 or cookie-based session login with Acumatica credentials
Change detection
Push notifications configurable on data changes, plus polling on LastModifiedDateTime fields
Capabilities
read · write · webhooks

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

    Choose tables

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

Acumatica 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.

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 458 integrations available for Acumatica and Postgres Heroku.

Popular · 8 of 458
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