Skip to content
ERP / Database

NetSuite and PostgreSQL integration — two-way sync

Keep supported NetSuite and PostgreSQL records aligned with two-way data sync. Give each team access to current data while controlling which system can update each field.

  • Field mappings and sync direction under your control
  • Inspect and resolve record errors in one dashboard
Two-way sync for supported objects
stacksync.com

Built for teams where self-serve, reliability and scale matter

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

Example workflow

Customer reporting workflow

Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.

Starting eventA change involving NetSuite Customer or the proposed customer table in PostgreSQL needs a defined result in the other system.

  1. Start with NetSuite Customer and the proposed customer table in PostgreSQL. Use the record-matching and field-ownership rules from your mapping worksheet.

  2. Resolve person or company type, legal entity, business role, and any billing account before transactions.

  3. Test a normal update and one failed or repeated update in the supported direction. Keep both record IDs with the test results.

What to verifyTest an individual buyer, a company buyer, and one company with multiple billing relationships. Do not merge these into a single generic contact.

Review records and field ownership

Mapping essentials

Records and field ownership

Match records by stable IDs and assign an owner for each field. The record notes identify the coverage to check.

Download the mapping worksheet

CSV · No email required

Example record relationships between NetSuite and PostgreSQL
NetSuite recordPostgreSQL recordRecord matchingField ownership
CustomerDocumented record: Read: Supported. Write: Supported.Reporting datasetProposed customer tableProposed table; choose its name and schema.Determine whether each customer represents an individual, a company, or a business-unit relationship before matching it to a contact or organization. Retain the source customer ID and destination ID; names and email alone are insufficient.Separate the customer relationship from contact details, billing authority, and consent. Choose an owner for each field after identifying whether the customer is a person or company.
InvoiceDocumented record: SupportedReporting datasetProposed customer invoice tableProposed table; choose its name and schema.Retain the invoice ID, issuer/legal entity, and original order reference; invoice numbers alone may overlap.The financial system owns posting and accounting treatment. A posted invoice may need a credit or adjustment process instead of an overwrite.
Vendor BillDocumented record: SupportedReporting datasetProposed supplier bill tableProposed table; choose its name and schema.Retain the supplier-bill ID, supplier, legal entity, and document reference; distinguish it from a customer invoice.Accounts payable owns approval and posting; a supplier bill is not an accounts-receivable invoice.

Use writable fields from the connected accounts. Keep read-only values one-way and define deletion handling separately.

Why teams connect NetSuite and PostgreSQL

Put your NetSuite and PostgreSQL data to work

Start with the work your team needs to complete: keep records up to date, make operational data available for reporting, or move data to a new system. Choose one NetSuite and PostgreSQL workflow to test, define what success looks like, and decide who handles failed updates.

  • Sync customers, sales orders, and invoices to an operational Postgres database so teams query ERP data without writing SuiteScript.

  • Expose item and inventory data to internal applications through a continuously synced database table.

  • Expose SaaS objects (CRM contacts, ERP invoices, support tickets) as Postgres tables that internal tools can query and join

  • Let an application write to its own database and have those rows appear as records in business systems in near real time

What records can you sync?

Start with the records your workflow needs. Check each system’s read and write requirements before mapping fields.

NetSuite

Read and write support varies by record

Record types covered in the setup guide

Record typesCoverage and requirements
  • Customer
  • Contact
  • Nexus
  • Tax Type
  • Sales Tax Item
  • Billing Schedule Customer Subsidiary Relationship
  • Vendor
  • Vendor Category
  • Employee
  • Other Name Category
  • Vendor Subsidiary Relationship
  • Project
  • Project Status
  • Project Task
  • Job Type
  • Task
  • Partner
  • Customer Status
  • Phone Call
  • Support Case
  • Calendar Event
  • Note Type
  • Message
  • Job Status
Reading: ✅ Supported. Updating this object: ✅ Supported.
  • Invoice
  • Sales Order
  • Check
  • Credit Card Charge
  • Credit Card Refund
  • Credit Memo
  • Currency Revaluation
  • Customer Deposit
  • Customer Payment
  • Customer Refund
  • Deposit
  • Deposit Application
  • Estimate
  • Expense Report
  • Intercompany Journal Entry
  • Advanced Intercompany Journal Entry
  • Item Fulfillment
  • Item Receipt
  • Journal Entry
  • Opportunity
  • Purchase Order
  • Transfer
  • Vendor Bill
  • Vendor Credit
  • Vendor Payment
✅ Supported. Confirm field permissions and sync direction.
  • All custom objects
Reading: ✅ Supported. Updating this object: 🔓 Request Access.
  • Account
  • Accounting Period
  • Bin Transfer
  • Currency Rate
  • Price Level
  • Term
  • Subsidiary
  • Contact Category
  • Contact Role
  • Customer Category
  • Customer Message
  • Department
  • Expense Category
  • Classification
  • Location
Reading: ✅ Supported. Updating this object: 🕜 Coming soon.
  • Lead
  • Case
Reading: 🔓 Request Access. Updating this object: 🔓 Request Access.
  • Saved Searches
Reading: ✅ Supported. Updating this object: Read-only object.
  • Published Reports
Reading: 🔓 Request Access. Updating this object: Read-only object.

Read the NetSuite connector guide

PostgreSQL

Read and write support varies by record

Record types covered in the setup guide

Record typesCoverage and requirements
  • Tables
See connector requirements. Confirm field permissions and sync direction.

Read the PostgreSQL connector guide

Connection essentials

Review how each system connects, detects changes, and permits access to your records.

View setup requirements and limits
Connection requirementNetSuitePostgreSQL
Integration interfaceSuiteTalk REST and SOAP web services, plus SuiteQL queriesSQL wire protocol (PostgreSQL frontend/backend protocol)
AuthenticationToken-Based AuthenticationDatabase credentials
Change detectionRead and write support is documented by object; the source guide does not establish one change-detection method or frequency for every object.The Postgres connector uses logical replication.
Read accessAvailable for supported recordsAvailable for supported records
Write accessAvailable for supported recordsAvailable for supported records

Enterprise controls

Security and control for your integrations

Explore security controls

Compliance and data transfers

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

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

Record-level recovery

Inspect sync errors and use retry and revert controls to resolve failed updates.

Read the recovery guide

Implementation

Technical reference

Review setup, record relationships, testing, and recovery for your implementation.

Authentication, permissions and API limits

Connection requirements and limits

NetSuite
Integration interface
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
Read and write support is documented by object; the source guide does not establish one change-detection method or frequency for every object.
Read access
Available for supported records
Write access
Available for supported records
Setup requirements
  • Have a NetSuite administrator enable web services and token-based authentication, then create an integration record and access token.
  • Provide the account ID, consumer credentials, and token credentials through the Stacksync connection form. Check object-specific read and write access.
Limitations to check
  • Write coverage varies: the saved support matrix marks several accounting objects as Coming soon and custom-object writes as Request Access.
  • NetSuite Account is an accounting object; do not map it to a CRM Account merely because the names resemble each other.
Technical documentation

Documentation reviewed 2026-09-15. Check the linked guides for current account and record requirements.

NetSuite setup guide
PostgreSQL
Integration interface
SQL wire protocol (PostgreSQL frontend/backend protocol)
Authentication
Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
Change detection
The Postgres connector uses logical replication. The separate Postgres Heroku connector uses database triggers when replication rights are unavailable.
Read access
Available for supported records
Write access
Available for supported records
Setup requirements
  • Use a single-column primary key with a database-generated default for every selected table; composite primary keys are not supported.
  • Give the connected database role the required ownership and replication rights. Logical replication requires wal_level=logical; check the hosted database procedure before changing it.
  • For PostgreSQL 12 and earlier, have the database administrator install the pgcrypto extension before starting the sync so tracking tables can use gen_random_uuid(). PostgreSQL 13 and later provide this function without the extension.
Limitations to check
  • Renaming a schema, table, or column requires updating the sync configuration.
  • Database views cannot be used as writable destinations in two-way sync; validate the selected connector and view support separately.
PostgreSQL setup guide

Prepare NetSuite and PostgreSQL access

Set up both accounts before testing the mapping. Use test records where available, and identify the account administrator who can approve access and help resolve setup errors.

NetSuite setup checklist
  • Have a NetSuite administrator enable web services and token-based authentication, then create an integration record and access token.
  • Provide the account ID, consumer credentials, and token credentials through the Stacksync connection form. Check object-specific read and write access.

Setup guides: Authorize NetSuite

PostgreSQL setup checklist
  • Use a single-column primary key with a database-generated default for every selected table; composite primary keys are not supported.
  • Give the connected database role the required ownership and replication rights. Logical replication requires wal_level=logical; check the hosted database procedure before changing it.
  • For PostgreSQL 12 and earlier, have the database administrator install the pgcrypto extension before starting the sync so tracking tables can use gen_random_uuid(). PostgreSQL 13 and later provide this function without the extension.

Setup guides: Authorize PostgresEnsuring Secure Cloud SQL Connections with SSL CertificateEnsuring Secure RDS Connections with SSL Certificate

Prepare to go live

Record the fields each system can update, the first-load cutoff, both record IDs, the expected update delay, and who handles errors. Complete the tests before production before expanding to more records.

Use the NetSuite and PostgreSQL planning worksheet to capture these decisions. Record the access owner in the worksheet and enter credentials only in the connection setup.

See Stacksync in action · Review current pricing

Record identity and field ownership

Keep each record tied to its source ID. Use the references below to choose field owners and preserve relationships between records.

Download the mapping worksheet · CSV, no email required

Reporting dataset

Customer / Proposed customer table in PostgreSQL (choose its name)

Plan a customer dataset while preserving its source meaning.

Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.

NetSuite
Documented record · Read: ✅ Supported. Write: ✅ Supported.
PostgreSQL
Your database schema
Record identity
Determine whether each customer represents an individual, a company, or a business-unit relationship before matching it to a contact or organization. Retain the source customer ID and destination ID; names and email alone are insufficient.
Field ownership
Separate the customer relationship from contact details, billing authority, and consent. Choose an owner for each field after identifying whether the customer is a person or company.

Fields to include

  • Source customer ID
  • Person/company classification
  • Legal entity or business unit
  • Destination identity reference
Record dependencies
Resolve person or company type, legal entity, business role, and any billing account before transactions.
Validation
Test an individual buyer, a company buyer, and one company with multiple billing relationships. Do not merge these into a single generic contact.
Recovery
Hold ambiguous customer matches for review and resolve customer type before retrying dependent records.

References: NetSuite: Customer documentation

Reporting dataset

Invoice / Proposed customer invoice table in PostgreSQL (choose its name)

Plan a customer invoice dataset while preserving its source meaning.

Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.

NetSuite
Documented record · ✅ Supported
PostgreSQL
Your database schema
Record identity
Retain the invoice ID, issuer/legal entity, and original order reference; invoice numbers alone may overlap.
Field ownership
The financial system owns posting and accounting treatment. A posted invoice may need a credit or adjustment process instead of an overwrite.

Fields to include

  • Source invoice ID
  • Customer or supplier reference
  • Line totals
  • Currency
  • Posting/payment status
Record dependencies
Resolve the customer or supplier, account codes, tax, currency, and accounting period before posting.
Validation
Test a posted invoice, a partial payment, tax rounding, and a closed accounting period. Compare financial totals within the same entity and currency.
Recovery
Determine whether a transaction posted before retrying. Follow the approved adjustment process for posted records.

References: NetSuite: Invoice documentation

Reporting dataset

Vendor Bill / Proposed supplier bill table in PostgreSQL (choose its name)

Plan a supplier bill dataset while preserving its source meaning.

Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.

NetSuite
Documented record · ✅ Supported
PostgreSQL
Your database schema
Record identity
Retain the supplier-bill ID, supplier, legal entity, and document reference; distinguish it from a customer invoice.
Field ownership
Accounts payable owns approval and posting; a supplier bill is not an accounts-receivable invoice.

Fields to include

  • Source bill ID
  • Supplier reference
  • Entity
  • Line amounts and currency
  • Approval/posting state
Record dependencies
Resolve supplier, expense/account codes, entity, currency, and accounting period before bill lines.
Validation
Test a duplicate supplier document number in another entity, a partially paid bill, and a closed period.
Recovery
Verify whether the bill was approved or posted before retrying; use the approved adjustment process for posted bills.

References: NetSuite: Vendor Bill documentation

Reporting dataset

Sales Order / Proposed sales order table in PostgreSQL (choose its name)

Plan a sales order dataset while preserving its source meaning.

Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.

NetSuite
Documented record · ✅ Supported
PostgreSQL
Your database schema
Record identity
Preserve both the order ID and stable line IDs. Allow one order to relate to several shipments or invoices.
Field ownership
Decide which system approves the order and which can cancel or amend it after fulfillment begins.

Fields to include

  • Source order ID
  • Customer reference
  • Line references and quantities
  • Order status
  • Currency
Record dependencies
Create or locate the customer and products first; resolve taxes, currency, and fulfillment references.
Validation
Test a multi-line order, a partial cancellation, and two partial shipments. Compare line totals as well as the header.
Recovery
Check for an existing destination order before retrying a timed-out create; reconcile line IDs to avoid duplicate fulfillment.

References: NetSuite: Sales Order documentation

Reporting dataset

Customer Payment / Proposed payment or settlement table in PostgreSQL (choose its name)

Plan a payment or settlement dataset while preserving its source meaning.

Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.

NetSuite
Documented record · ✅ Supported
PostgreSQL
Your database schema
Record identity
Preserve transaction ID, provider/source, currency, and links to invoices; one payment may settle several documents.
Field ownership
Keep payment authorization, settlement, and accounting allocation distinct.

Fields to include

  • Source transaction ID
  • Invoice references
  • Amount and currency
  • Settlement status
  • Reversal reference
Record dependencies
Resolve the affected invoices and cash/account references before allocating the payment.
Validation
Test partial payment, one-to-many allocation, refund, and repeated delivery of the same transaction.
Recovery
Look up the original transaction before retrying to prevent duplicate allocation or charging.

References: NetSuite: Customer Payment documentation

Reporting dataset

Vendor / Proposed supplier or vendor table in PostgreSQL (choose its name)

Plan a supplier or vendor dataset while preserving its source meaning.

Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.

NetSuite
Documented record · Read: ✅ Supported. Write: ✅ Supported.
PostgreSQL
Your database schema
Record identity
Use the supplier ID within its business entity; a supplier name may occur in several subsidiaries.
Field ownership
Assign responsibility for approved supplier details; restrict changes to payment instructions to the business approval process.

Fields to include

  • Source supplier ID
  • Legal name
  • Entity reference
  • Payment terms
  • Active status
Record dependencies
Resolve business-unit and payment-term references before purchasing transactions.
Validation
Test a supplier shared across subsidiaries and an inactive supplier referenced by an open bill.
Recovery
Review rejected supplier changes before retrying dependent bills; do not reactivate a supplier merely to make a write pass.

References: NetSuite: Vendor documentation

Compare integration approaches

Use NetSuite Customer and PostgreSQL Proposed customer table in PostgreSQL (choose its name) for the first pilot. Verify its identity and permitted direction, then add dependent records only when the acceptance checks pass.

Stacksync managed sync

Best fit
Two-way sync for supported objects. Choose the records, writable fields, and permissions for your workflow.
Operating responsibility
Fits ongoing record synchronization when the required operations are supported. Add workflow steps for approvals or business actions that go beyond copying fields.
Before you choose
Check record matching: Determine whether each customer represents an individual, a company, or a business-unit relationship before matching it to a contact or organization. Retain the source customer ID and destination ID; names and email alone are insufficient. Verify field coverage, deletion handling, and how changes are detected.

Native vendor integration

Best fit
A vendor-built integration may fit if it supports your NetSuite and PostgreSQL record types.
Operating responsibility
Can reduce setup for a supported workflow. You may need another method for records or business steps it does not cover.
Before you choose
First check whether either vendor offers this integration. If available, verify Customer / Proposed customer table in PostgreSQL (choose its name), update direction, account tier, and related-record handling.

Custom API or workflow

Best fit
Consider when NetSuite and PostgreSQL need a transformation, approval, or action outside a direct record sync.
Operating responsibility
Provides control over business steps; the team owns credentials, version changes, error queues, and reconciliation.
Before you choose
Verify endpoint permissions, pagination, quotas, duplicate detection, and failure recovery. Separate reading history from actions that send messages, grant access, or post transactions.

File or scheduled snapshot

Best fit
Consider for a one-time NetSuite / PostgreSQL migration or a reporting need with an explicit freshness window.
Operating responsibility
Can simplify a bounded transfer; later changes and deletion history require another extraction or a separately designed incremental process.
Before you choose
Record the extraction cutoff, source IDs, encoding, date/number formats, and reconciliation totals.

Workflow scenarios and expected results

Customer reporting workflow

Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.

Starting event: A change to the selected Customer or Proposed customer table in PostgreSQL (choose its name) record needs a defined result in the other system.

  1. Start with NetSuite Customer and PostgreSQL Proposed customer table in PostgreSQL (choose its name). Use the record-matching and field-ownership rules from your mapping worksheet.
  2. Resolve person or company type, legal entity, business role, and any billing account before transactions.
  3. Test a normal update and one failed or repeated update in the supported direction. Keep both record IDs with the test results.

Expected result: Test an individual buyer, a company buyer, and one company with multiple billing relationships. Do not merge these into a single generic contact.

If it fails: Hold ambiguous customer matches for review and resolve customer type before retrying dependent records.

Customer invoice reporting workflow

Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.

Starting event: A change to the selected Invoice or Proposed customer invoice table in PostgreSQL (choose its name) record needs a defined result in the other system.

  1. Start with NetSuite Invoice and PostgreSQL Proposed customer invoice table in PostgreSQL (choose its name). Use the record-matching and field-ownership rules from your mapping worksheet.
  2. Resolve the customer or supplier, account codes, tax, currency, and accounting period before posting.
  3. Test a normal update and one failed or repeated update in the supported direction. Keep both record IDs with the test results.

Expected result: Test a posted invoice, a partial payment, tax rounding, and a closed accounting period. Compare financial totals within the same entity and currency.

If it fails: Determine whether a transaction posted before retrying. Follow the approved adjustment process for posted records.

Supplier bill reporting workflow

Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.

Starting event: A change to the selected Vendor Bill or Proposed supplier bill table in PostgreSQL (choose its name) record needs a defined result in the other system.

  1. Start with NetSuite Vendor Bill and PostgreSQL Proposed supplier bill table in PostgreSQL (choose its name). Use the record-matching and field-ownership rules from your mapping worksheet.
  2. Resolve supplier, expense/account codes, entity, currency, and accounting period before bill lines.
  3. Test a normal update and one failed or repeated update in the supported direction. Keep both record IDs with the test results.

Expected result: Test a duplicate supplier document number in another entity, a partially paid bill, and a closed period.

If it fails: Verify whether the bill was approved or posted before retrying; use the approved adjustment process for posted bills.

Reconcile NetSuite business records with PostgreSQL

Validate the selected objects and operations even where connector-level direction is documented.

Starting event: A finance-owned record in NetSuite needs operational visibility through a selected destination dataset.

  1. Select Customer or Vendor with the correct legal entity, period, and currency.
  2. Define a reporting relationship in PostgreSQL; do not equate customer records, ledger accounts, and posted transactions.
  3. Decide whether the process only reports a financial state or requests an approved accounting action, and maintain a separate transaction ID for each action.

Expected result: Totals reconcile within the same entity/currency/window; a repeated handoff creates no duplicate financial transaction.

If it fails: Verify posting and settlement state before retrying. Use the approved adjustment path for already-posted transactions.

Initial load and acceptance testing

Keep both record IDs with the expected and actual result. Reconcile the same filters and time window in each system.

Customer / Proposed customer table in PostgreSQL (choose its name)

Test case

Test an individual buyer, a company buyer, and one company with multiple billing relationships. Do not merge these into a single generic contact.

Expected result

The expected customer relationship is preserved with no duplicate action or unintended write.

Invoice / Proposed customer invoice table in PostgreSQL (choose its name)

Test case

Test a posted invoice, a partial payment, tax rounding, and a closed accounting period. Compare financial totals within the same entity and currency.

Expected result

The expected customer invoice relationship is preserved with no duplicate action or unintended write.

Vendor Bill / Proposed supplier bill table in PostgreSQL (choose its name)

Test case

Test a duplicate supplier document number in another entity, a partially paid bill, and a closed period.

Expected result

The expected supplier bill relationship is preserved with no duplicate action or unintended write.

Sales Order / Proposed sales order table in PostgreSQL (choose its name)

Test case

Test a multi-line order, a partial cancellation, and two partial shipments. Compare line totals as well as the header.

Expected result

The expected sales order relationship is preserved with no duplicate action or unintended write.

Direction and permissions

Test case

Check that each connected account can read and write the chosen objects. Exercise both directions with a test record before enabling production changes.

Expected result

Only an approved, supported direction and permitted fields are written.

Freshness and reconciliation

Test case

Measure source and destination times for the selected records under normal load and a burst. Reconcile IDs and values using the same filters and cutoff.

Expected result

The process meets its agreed freshness target and reconciliation has no unexplained differences.

Failed updates, retries and recovery

Start with the failed record and the destination error, then inspect the source value, field requirements, and access.

Rejected or repeated customer change

Investigate

Inspect NetSuite Customer and PostgreSQL Proposed customer table in PostgreSQL (choose its name), their IDs, and the destination error.

Next action

Hold ambiguous customer matches for review and resolve customer type before retrying dependent records.

Rejected or repeated customer invoice change

Investigate

Inspect NetSuite Invoice and PostgreSQL Proposed customer invoice table in PostgreSQL (choose its name), their IDs, and the destination error.

Next action

Determine whether a transaction posted before retrying. Follow the approved adjustment process for posted records.

Rejected or repeated supplier bill change

Investigate

Inspect NetSuite Vendor Bill and PostgreSQL Proposed supplier bill table in PostgreSQL (choose its name), their IDs, and the destination error.

Next action

Verify whether the bill was approved or posted before retrying; use the approved adjustment process for posted bills.

A record type or update is unavailable

Investigate

Check the NetSuite and PostgreSQL connector guides, account permissions, and any operations marked On Request.

Next action

Ask the integration team to confirm a supported way to handle that record. Verify whether it needs connector configuration or a separate workflow step.

Source and destination disagree after a retry

Investigate

Compare current source values, destination validation, identity mappings, and any side effects already completed.

Next action

Stacksync issue retry reads the current source state. Decide the intended state before retrying or reverting; reconcile downstream effects separately.

Read the Stacksync issues dashboard guide for retry and revert behavior.

Change detection and update delivery

How updates move between NetSuite and PostgreSQL

See how each system detects changes and which updates the other system can receive. Each direction has its own permissions and record requirements.

NetSuite PostgreSQL Timing depends on the connected systems

Detect changesRead and write support is documented by object; the source guide does not establish one change-detection method or frequency for every object.

Apply updatesSelected writable fields update in PostgreSQL. Its permissions and validation rules still apply; rejected records can be inspected in the Issues dashboard.

PostgreSQL NetSuite Timing depends on the connected systems

Detect changesThe Postgres connector uses logical replication. The separate Postgres Heroku connector uses database triggers when replication rights are unavailable.

Apply updatesSelected writable fields update in NetSuite. Its permissions and validation rules still apply; rejected records can be inspected in the Issues dashboard.

Update timing and record limits
  • Measure initial-load and ongoing-change latency separately. Source detection, selected objects, account limits, and destination validation determine the observed delay.
FAQ

NetSuite and PostgreSQL integration FAQ

Next step

See your workflow in Stacksync

Walk through your NetSuite and PostgreSQL records, field mappings, and requirements with an integration engineer.