Real-time
Two-way sync
Changes in Acumatica or AWS Aurora MySQL instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Database
Acumatica to AWS Aurora MySQL integration — real-time, two-way sync
Keep Acumatica and AWS Aurora MySQL 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 Acumatica and AWS Aurora MySQL
Give your engineers Acumatica's data in AWS Aurora MySQL: read it with normal queries, write back through the sync, and skip the ERP API entirely.
Connecting Acumatica to AWS Aurora MySQL puts ERP data into a managed MySQL environment engineers already build against. Acumatica Customers, Sales Orders, and Invoices sync into Aurora Tables as Rows with Primary keys and indexes intact, supporting internal applications and SQL reporting with writes flowing back to Acumatica.
Stacksync mirrors Stock Items, Shipments, Payments, Journal Transactions from Acumatica into AWS Aurora MySQL 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 MySQL sync back into Acumatica with its validations respected.
Common use cases
- 01 Build customer portals on Aurora MySQL that stay current with Acumatica Invoices
- 02 Run heavy SQL reporting on Sales Orders without loading the Acumatica API
- 03 Use Aurora Databases (schemas) as the integration layer between Acumatica and other internal systems
- 04 Let operations teams edit records in a spreadsheet-style tool with changes written back to Aurora safely.
Common sync patterns
Bi-directional table sync
Acumatica Sales Orders and Invoices map to Aurora Tables, with Row updates propagating in both directions
Application write-back
Rows inserted into Aurora Tables by internal services create Acumatica Customers or Purchase Orders
Inventory views
Acumatica Stock Items maintained in Aurora so Views serve stock queries at MySQL speed
What you can sync between Acumatica and AWS Aurora MySQL
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 MySQL objects | How this pairing syncs | |
|---|---|---|---|
| Shipments Fulfillment documents read to update tracking in storefronts and CRMs. | Databases (schemas) Logical namespaces that scope which tables a sync connection can see. | Shipments is specific to Acumatica and Databases (schemas) to AWS Aurora MySQL — each maps to any object or custom field on the other side. | |
| Payments Customer payment records reconciled against invoices from payment platforms. | Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. | Payments is specific to Acumatica and Tables to AWS Aurora MySQL — each maps to any object or custom field on the other side. | |
| Journal Transactions GL entries replicated into reporting databases. | Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. | Journal Transactions is specific to Acumatica and Rows to AWS Aurora MySQL — each maps to any object or custom field on the other side. | |
| Projects Project cost and billing structures synced with delivery tools. | Columns MySQL data types are mapped to the paired system's field types during schema setup. | Projects is specific to Acumatica and Columns to AWS Aurora MySQL — 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. | Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. | Opportunities and Cases is specific to Acumatica and Primary keys and indexes to AWS Aurora MySQL — each maps to any object or custom field on the other side. | |
| Customers AR master data synced with CRMs and billing tools. | Views Can serve as read-only sync sources for derived or filtered datasets. | Customers is specific to Acumatica and Views to AWS Aurora MySQL — each maps to any object or custom field on the other side. |
How changes propagate between Acumatica and AWS Aurora MySQL
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 AWS Aurora MySQL 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 AWS Aurora MySQL as a row-level write, with types converted between the two schemas.
AWS Aurora MySQL Acumatica Sub-second propagation
DetectionChanges in AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback.
DeliveryEach detected change is written to Acumatica through its API, with automatic retries and rate-limit backoff.
What ships with Acumatica ⇄ AWS Aurora MySQL
Connect Acumatica and AWS Aurora MySQL for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Acumatica–AWS Aurora MySQL connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Acumatica or AWS Aurora MySQL 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 MySQL record.
Observability
Monitoring
Track your Acumatica ⇄ AWS Aurora MySQL 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 MySQL.
How the Acumatica and AWS Aurora MySQL 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 MySQL
- Integration surface
- SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback
- Capabilities
- read · write · CDC
How it works
How to connect Acumatica to AWS Aurora MySQL — 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.
- 01
Connect your apps
Authenticate Acumatica and AWS Aurora MySQL with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Acumatica
connected
AWS Aurora MySQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Acumatica and AWS Aurora MySQL 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.
objects · Acumatica ⇄ AWS Aurora MySQLCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Acumatica AWS Aurora MySQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Acumatica and AWS Aurora MySQL integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Acumatica and AWS Aurora MySQL: authenticate both systems, choose the objects to sync (such as Acumatica's Shipments and Payments), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
AWS Aurora MySQL: Aurora separates compute from a distributed storage layer that replicates data six ways across three Availability Zones, independent of the instances that CDC readers and sync writers connect to. Acumatica: Push notifications can be configured to send data-change notifications to an external URL, based on generic inquiries that define which changes to watch. Stacksync's field mapping accounts for these differences between Acumatica and AWS Aurora MySQL without custom code.
-
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Acumatica and AWS Aurora MySQL records are not retained after a sync operation.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Acumatica and AWS Aurora MySQL connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Acumatica–AWS Aurora MySQL integration in-house.
-
Yes — Stacksync ships production-grade connectors for both Acumatica and AWS Aurora MySQL. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on Acumatica: Push notifications configurable on data changes, plus polling on LastModifiedDateTime fields. On AWS Aurora MySQL: Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 460 integrations available for Acumatica and AWS Aurora MySQL.
Popular · 5 of 460
-
Acumatica ⇄ Redis Enterprise -
Acumatica ⇄ SAP ASE (Sybase) -
Acumatica ⇄ Scaleway Postgres -
Acumatica ⇄ TiDB -
AWS Aurora MySQL ⇄ NetSuite
No integrations match .
