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ERP ⇄ Database

Acumatica to PostgreSQL integration — real-time, two-way sync

Keep Acumatica and PostgreSQL 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 PostgreSQL

Give your engineers Acumatica's data in PostgreSQL: read it with normal queries, write back through the sync, and skip the ERP API entirely.

Engineering and data teams sync Acumatica to PostgreSQL to work with ERP data using standard SQL instead of the Acumatica API. Customers, Sales Orders, and Invoices land in PostgreSQL Tables with managed Schemas and keys, giving internal tools and reporting an operational mirror of the ERP.

Stacksync mirrors Journal Transactions, Projects, Opportunities and Cases, Customers from Acumatica into PostgreSQL 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 PostgreSQL sync back into Acumatica with its validations respected.

Common use cases

  • 01 Build internal apps on PostgreSQL that read and update Acumatica Customers without direct API integration.
  • 02 Run SQL reporting over Acumatica Invoices and Purchase Orders using Materialized Views.
  • 03 Keep Stock Item data available to product systems through plain PostgreSQL Tables.
  • 04 Feed reporting and BI from a continuously synced Postgres replica instead of scheduled ETL scripts

Common sync patterns

ERP mirror in Postgres

Acumatica Customers, Sales Orders, and Invoices replicate into PostgreSQL Tables with schema changes handled automatically.

Write-back from SQL

updates to synced PostgreSQL rows propagate back to Acumatica records such as Vendors and Stock Items.

Reporting views

PostgreSQL Views and Materialized Views expose Acumatica Invoice and Purchase Order data to BI tools.

What you can sync between Acumatica and PostgreSQL

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 PostgreSQL objects How this pairing syncs
Opportunities and Cases Built-in CRM records synced with external sales and support tools. Views Read-side projections used to expose joined or filtered data to a sync. Opportunities and Cases is specific to Acumatica and Views to PostgreSQL — each maps to any object or custom field on the other side.
Customers AR master data synced with CRMs and billing tools. Materialized Views Precomputed result sets synced outward on a refresh schedule. Customers is specific to Acumatica and Materialized Views to PostgreSQL — each maps to any object or custom field on the other side.
Vendors Supplier records aligned with procurement and AP automation. Schemas Namespaces that scope which tables a sync reads and writes. Vendors is specific to Acumatica and Schemas to PostgreSQL — each maps to any object or custom field on the other side.
Sales Orders Order documents created from e-commerce and CRM systems, read back for fulfillment status. Columns Field-level mapping targets; types are mapped to the connected system's field types. Sales Orders is specific to Acumatica and Columns to PostgreSQL — each maps to any object or custom field on the other side.
Invoices AR and AP billing documents synced for payment tracking and CRM visibility. Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. Invoices is specific to Acumatica and Primary and Unique Keys to PostgreSQL — each maps to any object or custom field on the other side.
Purchase Orders Procurement documents exchanged with supplier-facing systems. JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. Purchase Orders is specific to Acumatica and JSONB Columns to PostgreSQL — each maps to any object or custom field on the other side.

How changes propagate between Acumatica and PostgreSQL

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 PostgreSQL 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 PostgreSQL as a row-level write, with types converted between the two schemas.

PostgreSQL Acumatica Sub-second propagation

DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.

DeliveryEach detected change is written to Acumatica through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
What ships with Acumatica ⇄ PostgreSQL

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Acumatica or PostgreSQL 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 PostgreSQL record.

Observability

Monitoring

Track your Acumatica ⇄ PostgreSQL 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 PostgreSQL.

How the Acumatica and PostgreSQL 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

PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL frontend/backend protocol)
Authentication
Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
Change detection
Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
PostgreSQL setup guide
How it works

How to connect Acumatica to PostgreSQL — 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 PostgreSQL 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
    PostgreSQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Acumatica and PostgreSQL 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 ⇄ PostgreSQL
    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 PostgreSQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Acumatica and PostgreSQL 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
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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 555 integrations available for Acumatica and PostgreSQL.

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