Two-way sync
Changes in Neo4j or NetSuite instantly reflect in both systems. No stale data, no manual imports.
Keep Neo4j 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.
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 Billing Schedule Customer Subsidiary Relationship, Account, Accounting Period, Bin Transfer from NetSuite into Neo4j 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 Neo4j sync back into NetSuite with its validations respected.
Records from NetSuite live in Neo4j as ordinary tables or collections, joinable with the rest of your data.
Scripts and services read and write the synced tables; Stacksync handles the NetSuite interface, limits, and retries.
Updates in NetSuite arrive as row changes in Neo4j, so jobs and triggers can respond as the business record changes.
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.
| Neo4j objects | NetSuite objects | How this pairing syncs | |
|---|---|---|---|
| Users & Roles Security principals controlling what an integration credential can query or modify. | Subsidiary Synced with incremental and full sync per the Stacksync docs. | Users & Roles is specific to Neo4j and Subsidiary to NetSuite — each maps to any object or custom field on the other side. | |
| Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | All custom objects Synced with incremental and full sync per the Stacksync docs. | Nodes is specific to Neo4j and All custom objects to NetSuite — each maps to any object or custom field on the other side. | |
| Relationships Typed, directed edges that carry the connections syncs exist to model. | Nexus Synced with incremental and full sync per the Stacksync docs. | Relationships is specific to Neo4j and Nexus to NetSuite — each maps to any object or custom field on the other side. | |
| Properties Key-value attributes on both nodes and relationships, mapped from source fields. | Tax Type Synced with incremental and full sync per the Stacksync docs. | Properties is specific to Neo4j and Tax Type to NetSuite — each maps to any object or custom field on the other side. | |
| Labels Node type markers used to map source tables or objects onto the graph. | Sales Tax Item Synced with incremental and full sync per the Stacksync docs. | Labels is specific to Neo4j and Sales Tax Item to NetSuite — each maps to any object or custom field on the other side. | |
| Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | Billing Schedule Customer Subsidiary Relationship Synced with incremental and full sync per the Stacksync docs. | Indexes & Constraints is specific to Neo4j and Billing Schedule Customer Subsidiary Relationship 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 Neo4j are captured at the source via change data capture — no polling loop against its API. Neo4j Change Data Capture on Enterprise and Aura streams graph changes.
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 written to Neo4j through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Neo4j–NetSuite connection.
Changes in Neo4j or NetSuite instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Neo4j 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 Neo4j or NetSuite record.
Track your Neo4j ⇄ NetSuite sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Neo4j 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 Neo4j 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 Neo4j 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 Neo4j and NetSuite: authenticate both systems, choose the objects to sync (such as Neo4j's Users & Roles and Nodes), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Neo4j and NetSuite. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Neo4j: Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties. On NetSuite: Polling on lastModifiedDate via SuiteQL or saved searches; no native webhooks without custom SuiteScript. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Neo4j side: Users & Roles, Nodes, Relationships, Properties, plus custom fields where Neo4j 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 Neo4j and NetSuite: Read ERP records with a query; Internal tools and automations without API code; React to ERP changes. Records from NetSuite live in Neo4j as ordinary tables or collections, joinable with the rest of your data.
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 540 integrations available for Neo4j and NetSuite.