Real-time
Two-way sync
Changes in AWS Aurora MySQL or NetSuite instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ ERP
AWS Aurora MySQL to NetSuite integration — real-time, two-way sync
Keep AWS Aurora MySQL and NetSuite 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 AWS Aurora MySQL and NetSuite
Give your engineers NetSuite's data in AWS Aurora MySQL: read it with normal queries, write back through the sync, and skip the ERP API entirely.
Teams connect AWS Aurora MySQL and NetSuite to work with ERP records in SQL instead of the NetSuite API. Account records, Billing Schedules, and any custom objects land as Tables and Rows in Aurora, where finance engineering and data teams can query, transform, and write back with standard MySQL tooling.
Stacksync mirrors Price Level, Term, Subsidiary, All custom objects from NetSuite into AWS Aurora MySQL and keeps both sides consistent in real time. Whatever NetSuite 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 NetSuite with its validations respected.
Common use cases
- 01 Back internal finance dashboards with Aurora Views over synced NetSuite Account data instead of repeated NetSuite API calls.
- 02 Drive billing automation from Billing Schedule and Customer Subsidiary Relationship rows replicated into Aurora.
- 03 Update NetSuite custom objects by writing Rows in Aurora and letting the bi-directional sync push changes back.
- 04 Give backend services read and write access to ERP or billing data by syncing it into Aurora tables the application already queries.
Common sync patterns
ERP reporting in SQL
NetSuite Account and Sales Tax Item records sync into Aurora Tables so analysts join them against operational data without API calls.
Custom object replication
All custom objects from NetSuite map to dedicated Aurora Tables with Primary keys and indexes maintained automatically.
Tax configuration mirror
Nexus and Tax Type records stay current in Aurora for downstream billing systems that read from the database.
What you can sync between AWS Aurora MySQL and NetSuite
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.
| AWS Aurora MySQL objects | NetSuite objects | How this pairing syncs | |
|---|---|---|---|
| Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. | Subsidiary Synced with incremental and full sync per the Stacksync docs. | Stored procedures and triggers is specific to AWS Aurora MySQL and Subsidiary to NetSuite — each maps to any object or custom field on the other side. | |
| Databases (schemas) Logical namespaces that scope which tables a sync connection can see. | All custom objects Synced with incremental and full sync per the Stacksync docs. | Databases (schemas) is specific to AWS Aurora MySQL and All custom objects to NetSuite — each maps to any object or custom field on the other side. | |
| Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. | Nexus Synced with incremental and full sync per the Stacksync docs. | Tables is specific to AWS Aurora MySQL and Nexus to NetSuite — each maps to any object or custom field on the other side. | |
| Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. | Tax Type Synced with incremental and full sync per the Stacksync docs. | Rows is specific to AWS Aurora MySQL and Tax Type to NetSuite — each maps to any object or custom field on the other side. | |
| Columns MySQL data types are mapped to the paired system's field types during schema setup. | Sales Tax Item Synced with incremental and full sync per the Stacksync docs. | Columns is specific to AWS Aurora MySQL and Sales Tax Item to NetSuite — each maps to any object or custom field on the other side. | |
| Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. | Billing Schedule Customer Subsidiary Relationship Synced with incremental and full sync per the Stacksync docs. | Primary keys and indexes is specific to AWS Aurora MySQL and Billing Schedule Customer Subsidiary Relationship to NetSuite — each maps to any object or custom field on the other side. |
How changes propagate between AWS Aurora MySQL and NetSuite
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.
AWS Aurora MySQL NetSuite 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 NetSuite through its API, with automatic retries and rate-limit backoff.
NetSuite AWS Aurora MySQL Interval-based propagation
DetectionStacksync polls NetSuite for changes on an incremental schedule, reading only records changed since the previous pass. Polling on lastModifiedDate via SuiteQL or saved searches.
DeliveryEach detected change is applied to AWS Aurora MySQL as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- NetSuite: API concurrency is governed per account; sync tools queue and throttle requests.
What ships with AWS Aurora MySQL ⇄ NetSuite
Connect AWS Aurora MySQL and NetSuite for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–NetSuite connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora MySQL or NetSuite 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 AWS Aurora MySQL or NetSuite record.
Observability
Monitoring
Track your AWS Aurora MySQL ⇄ NetSuite sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL and NetSuite.
How the AWS Aurora MySQL and NetSuite connectors work
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
NetSuite
- Integration surface
- SuiteTalk REST and SOAP web services, plus SuiteQL queries
- Authentication
- Token-Based Authentication (TBA): enable REST Web Services (and SOAP Web Services) + Token-Based Authentication in NetSuite, create an integration record to get Consumer ID/Secret
- Change detection
- Polling on lastModifiedDate via SuiteQL or saved searches; no native webhooks without custom SuiteScript
- Capabilities
- read · write
- Rate limits
- API concurrency is governed per account; sync tools queue and throttle requests.
How it works
How to connect AWS Aurora MySQL to NetSuite — 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 AWS Aurora MySQL and NetSuite with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
AWS Aurora MySQL
connected
NetSuite
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora MySQL and NetSuite 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 · AWS Aurora MySQL ⇄ NetSuiteCustomers 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.
AWS Aurora MySQL NetSuiteCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora MySQL and NetSuite integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora MySQL and NetSuite: authenticate both systems, choose the objects to sync (such as AWS Aurora MySQL's Stored procedures and triggers and Databases (schemas)), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for AWS Aurora MySQL and NetSuite: ERP reporting in SQL; Custom object replication; Tax configuration mirror. NetSuite Account and Sales Tax Item records sync into Aurora Tables so analysts join them against operational data without API calls.
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AWS Aurora MySQL: SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. NetSuite: SuiteTalk REST and SOAP web services, plus SuiteQL queries. Authentication: Token-Based Authentication (TBA): enable REST Web Services (and SOAP Web Services) + Token-Based Authentication in NetSuite, create an integration record to get Consumer ID/Secret. Stacksync manages authentication, retries, and rate limits on both sides.
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AWS Aurora MySQL: Read replicas share the cluster storage volume, letting syncs read from a replica endpoint without adding load to the writer. NetSuite: Every record type supports custom fields, and entirely custom record types can be defined, all accessible through the same web services. Stacksync's field mapping accounts for these differences between AWS Aurora MySQL and NetSuite without custom code.
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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 AWS Aurora MySQL and NetSuite records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS Aurora MySQL and NetSuite connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora MySQL–NetSuite integration in-house.
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
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