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ERP ⇄ Database

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

Keep Acumatica and Amazon Aurora 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

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Why teams connect Acumatica and Amazon Aurora

Give your engineers Acumatica's data in Amazon Aurora: 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 Sales Orders, Invoices, Purchase Orders, Stock Items from Acumatica into Amazon Aurora 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 Amazon Aurora sync back into Acumatica with its validations respected.

Common use cases

  • 01 Offload sync reads to Aurora reader endpoints to avoid load on the writer instance.
  • 02 Two-way sync between Aurora application tables and a CRM so product data and account data stay consistent.
  • 03 Align Acumatica's built-in CRM opportunities and cases with an external sales or support platform.
  • 04 Two-way sync of customers, orders, and invoices between Acumatica and a CRM so sales sees ERP truth without ERP logins.

Common sync patterns

React to ERP changes

Updates in Acumatica arrive as row changes in Amazon Aurora, 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 Amazon Aurora for provisioning, access, and reporting systems that read from the database.

Controlled write-back

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

What you can sync between Acumatica and Amazon Aurora

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 Amazon Aurora objects How this pairing syncs
Customers AR master data synced with CRMs and billing tools. Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. Customers is specific to Acumatica and Materialized Views to Amazon Aurora — each maps to any object or custom field on the other side.
Vendors Supplier records aligned with procurement and AP automation. Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. Vendors is specific to Acumatica and Columns and Data Types to Amazon Aurora — 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. Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. Sales Orders is specific to Acumatica and Primary and Foreign Keys to Amazon Aurora — 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. Read Replicas Reader endpoints that syncs can target to keep load off the writer. Invoices is specific to Acumatica and Read Replicas to Amazon Aurora — each maps to any object or custom field on the other side.
Purchase Orders Procurement documents exchanged with supplier-facing systems. Databases Logical databases within a cluster that scope a sync connection. Purchase Orders is specific to Acumatica and Databases to Amazon Aurora — each maps to any object or custom field on the other side.
Stock Items Inventory master data with quantities shared with external sales channels. Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. Stock Items is specific to Acumatica and Schemas to Amazon Aurora — each maps to any object or custom field on the other side.

How changes propagate between Acumatica and Amazon Aurora

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

Amazon Aurora Acumatica Sub-second propagation

DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.

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

Rate-limit considerations

  • Amazon Aurora: No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits.
What ships with Acumatica ⇄ Amazon Aurora

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Acumatica or Amazon Aurora 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 Amazon Aurora record.

Observability

Monitoring

Track your Acumatica ⇄ Amazon Aurora 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 Amazon Aurora.

How the Acumatica and Amazon Aurora 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

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits
How it works

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

    Choose tables

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

Acumatica and Amazon Aurora 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 444 integrations available for Acumatica and Amazon Aurora.

Popular · 6 of 444
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