Two-way sync
Changes in AWS Aurora PostgreSQL or NetSuite instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL 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.
Teams connect AWS Aurora PostgreSQL and NetSuite to work with ERP data in SQL instead of custom scripting. NetSuite records such as Account, Nexus, and Sales Tax Item — plus all custom objects — land as Aurora tables and rows, where analytics and internal services can query and write them with standard Postgres tooling.
Stacksync mirrors Billing Schedule Customer Subsidiary Relationship, Account, Accounting Period, Bin Transfer from NetSuite into AWS Aurora PostgreSQL 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 PostgreSQL sync back into NetSuite with its validations respected.
NetSuite Account, Tax Type, and Sales Tax Item records sync into Aurora tables for finance reporting without custom scripting.
updates written to Aurora rows propagate back to NetSuite custom objects and Billing Schedule Customer Subsidiary Relationship records.
Nexus and Sales Tax Item data mirrors into an Aurora schema so tax setups can be validated with queries.
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 PostgreSQL objects | NetSuite objects | How this pairing syncs | |
|---|---|---|---|
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Account Synced with incremental and full sync per the Stacksync docs. | Rows is specific to AWS Aurora PostgreSQL and Account to NetSuite — each maps to any object or custom field on the other side. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Accounting Period Synced with incremental and full sync per the Stacksync docs. | Columns is specific to AWS Aurora PostgreSQL and Accounting Period to NetSuite — each maps to any object or custom field on the other side. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Bin Transfer Synced with incremental and full sync per the Stacksync docs. | Primary keys and constraints is specific to AWS Aurora PostgreSQL and Bin Transfer to NetSuite — each maps to any object or custom field on the other side. | |
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Currency Rate Synced with incremental and full sync per the Stacksync docs. | Views and materialized views is specific to AWS Aurora PostgreSQL and Currency Rate to NetSuite — each maps to any object or custom field on the other side. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Price Level Synced with incremental and full sync per the Stacksync docs. | Foreign keys is specific to AWS Aurora PostgreSQL and Price Level to NetSuite — each maps to any object or custom field on the other side. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Term Synced with incremental and full sync per the Stacksync docs. | Replication slots and publications is specific to AWS Aurora PostgreSQL and Term to NetSuite — each maps to any object or custom field on the other side. |
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.
DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.
DeliveryEach detected change is written to NetSuite through its API, with automatic retries and rate-limit backoff.
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 PostgreSQL as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–NetSuite connection.
Changes in AWS Aurora PostgreSQL or NetSuite instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL or NetSuite data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single AWS Aurora PostgreSQL or NetSuite record.
Track your AWS Aurora PostgreSQL ⇄ NetSuite sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and NetSuite.
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.
Authenticate AWS Aurora PostgreSQL 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.
Pick the AWS Aurora PostgreSQL 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora PostgreSQL and NetSuite: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Rows and Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the AWS Aurora PostgreSQL side: Foreign keys, Replication slots and publications, Databases and schemas, Tables, plus custom fields where AWS Aurora PostgreSQL exposes them. On the NetSuite side: Billing Schedule Customer Subsidiary Relationship, Account, Accounting Period, Bin Transfer. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for AWS Aurora PostgreSQL and NetSuite: ERP reporting in SQL; Custom-record operations from the database; Tax configuration audit. NetSuite Account, Tax Type, and Sales Tax Item records sync into Aurora tables for finance reporting without custom scripting.
AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres 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.
AWS Aurora PostgreSQL: PostgreSQL compatibility means JSONB, arrays, and custom types survive intact when syncing between Aurora and other Postgres-compatible stores. 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 PostgreSQL and NetSuite without custom code.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 475 integrations available for AWS Aurora PostgreSQL and NetSuite.