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ERP ⇄ Database

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

Keep Acumatica and AWS Aurora 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 AWS Aurora PostgreSQL

Give your engineers Acumatica's data in AWS Aurora PostgreSQL: 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 Customers, Vendors, Sales Orders, Invoices from Acumatica into AWS Aurora 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 AWS Aurora PostgreSQL sync back into Acumatica with its validations respected.

Common use cases

  • Sync JSONB-heavy application data into structured objects in downstream business systems.
  • Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.
  • Replicate journal transactions and financial data into a SQL database for reporting and consolidation.
  • Sync vendor bills from AP automation tools into Acumatica for approval and payment.

React to ERP changes

Updates in Acumatica arrive as row changes in AWS Aurora PostgreSQL, so jobs and triggers can respond as the business record changes.

Where Acumatica is the HR system of record: people data for internal systems

Worker and org records stay current in AWS Aurora PostgreSQL for provisioning, access, and reporting systems that read from the database.

Controlled write-back

Choose exactly which tables and fields may flow from AWS Aurora PostgreSQL back into Acumatica, keeping the ERP authoritative.

What you can sync between Acumatica and AWS Aurora 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 AWS Aurora PostgreSQL objects
Sales Orders Order documents created from e-commerce and CRM systems, read back for fulfillment status. Replication slots and publications The logical replication objects that power log-based CDC.
Invoices AR and AP billing documents synced for payment tracking and CRM visibility. Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets.
Purchase Orders Procurement documents exchanged with supplier-facing systems. Tables The core sync unit; rows are matched across systems by primary key.
Stock Items Inventory master data with quantities shared with external sales channels. Rows Inserted, updated, and deleted in both directions during bi-directional syncs.
Shipments Fulfillment documents read to update tracking in storefronts and CRMs. Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields.
Payments Customer payment records reconciled against invoices from payment platforms. Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes.
What ships with Acumatica ⇄ AWS Aurora PostgreSQL

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Acumatica or AWS Aurora 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 AWS Aurora PostgreSQL record.

Observability

Monitoring

Track your Acumatica ⇄ AWS Aurora 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 AWS Aurora PostgreSQL.

How the Acumatica and AWS Aurora 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

AWS Aurora PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
Capabilities
read · write · CDC
How it works

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

    Choose tables

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

Acumatica and AWS Aurora PostgreSQL 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.

Learn more about security
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:

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 Acumatica and AWS Aurora PostgreSQL.

Popular · 8 of 386
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