Real-time
Two-way sync
Changes in Neo4j or Nuorder instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ E-commerce
Neo4j to Nuorder integration — real-time, two-way sync
Keep Neo4j and Nuorder 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 Neo4j and Nuorder
Give your engineers Nuorder's products, orders, and customers in Neo4j: read them with normal queries, write inventory and prices back through the sync, and skip the storefront API.
E-commerce data sits behind an API built for the storefront, not for your internal systems. Teams that need those records, for order routing, inventory logic, reporting, or back-office tools, end up writing integration code against a rate-limited API and maintaining it through every catalog change and platform upgrade.
Stacksync mirrors Payments, Products, Orders, Companies from Nuorder into Neo4j and keeps both sides consistent in real time. Whatever Nuorder holds, whether products, orders, customers, or inventory, those records become rows your code can query, and changes written in Neo4j, such as new prices, stock levels, or fulfillment status, sync back into Nuorder with its validations respected.
Merchandising and operations keep working in the storefront, engineers keep working in the database, and neither side has to reconcile against a nightly export.
Common use cases
- 01 Sync product catalog and order history into Neo4j to power recommendation queries.
- 02 Feed identity and access data into a graph for entitlement and blast-radius analysis.
- 03 Push a brand's Products with pricing and images from a PIM or ERP into NuORDER via /api/product/new so the wholesale showroom and linesheets stay current each season.
- 04 Sync Inventory / ATS levels from a warehouse or ERP into NuORDER via /api/inventory/{id} so buyers see accurate available-to-sell quantities and oversell drops.
Common sync patterns
Controlled write-back
Choose exactly which tables and fields may flow from Neo4j back into Nuorder, keeping the store authoritative on what it owns.
Read the store's data with a query
Records from Nuorder, whether products, orders, customers, or inventory, live in Neo4j as ordinary tables or collections, joinable with the rest of your data.
Internal tools and automations without API code
Scripts and services read and write the synced tables; Stacksync handles the Nuorder API, rate limits, and retries.
What you can sync between Neo4j and Nuorder
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 | Nuorder objects | How this pairing syncs | |
|---|---|---|---|
| Relationships Typed, directed edges that carry the connections syncs exist to model. | Products Fluent-schema catalog records (style, SKU, images, custom fields); brands push them in via /api/product/new (POST) and update via /api/product/{id} (PUT), typically mastered in a PIM or ERP. | Relationships is specific to Neo4j and Products to Nuorder — 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. | Orders Wholesale sales orders with nested line items and payment info; read via /api/orders/{status}/detail, created via /api/order/new (PUT), and advanced via /api/order/{id}/process and /cancel. | Properties is specific to Neo4j and Orders to Nuorder — 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. | Companies Retailer and customer accounts (buyers, doors); enumerated via /api/companies/codes/list and created through the customer-creation API, commonly synced with a CRM or ERP. | Labels is specific to Neo4j and Companies to Nuorder — 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. | Line Items SKU, quantity, and price rows nested inside each Order; the unit ERPs and fulfillment systems consume when an order is written out. | Indexes & Constraints is specific to Neo4j and Line Items to Nuorder — each maps to any object or custom field on the other side. | |
| Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Inventory (ATS) Available-to-sell stock levels updated via /api/inventory/{id} (PUT); usually written from a warehouse or ERP into NuORDER so buyers see accurate availability. | Databases is specific to Neo4j and Inventory (ATS) to Nuorder — each maps to any object or custom field on the other side. | |
| Users & Roles Security principals controlling what an integration credential can query or modify. | Pricing / Price Lists Wholesale and retail price data attached to products through the product data feeds; read out for margin reporting or written in during catalog loads. | Users & Roles is specific to Neo4j and Pricing / Price Lists to Nuorder — each maps to any object or custom field on the other side. |
How changes propagate between Neo4j and Nuorder
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.
Neo4j Nuorder Sub-second propagation
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 Nuorder through its API, with automatic retries and rate-limit backoff.
Nuorder Neo4j Interval-based propagation
DetectionStacksync polls Nuorder for changes on an incremental schedule, reading only records changed since the previous pass. Polling on modified date: a date-range order endpoint returns the IDs of orders changed within a UTC start/end window.
DeliveryEach detected change is written to Neo4j through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Nuorder: Results are cursor-paginated via lastId/lastValue exposed in a 'next' response header (null on the last page); published request-rate limits are not documented and are governed per integration.
What ships with Neo4j ⇄ Nuorder
Connect Neo4j and Nuorder for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Neo4j–Nuorder connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Neo4j or Nuorder 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 Neo4j or Nuorder record.
Observability
Monitoring
Track your Neo4j ⇄ Nuorder sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Neo4j and Nuorder.
How the Neo4j and Nuorder connectors work
Neo4j
- Integration surface
- Bolt binary protocol with Cypher via official drivers, plus an HTTP query API
- Authentication
- Username/password (basic auth); enterprise deployments add SSO options
- Change detection
- Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties
- Capabilities
- read · write · CDC
Nuorder
- Integration surface
- REST API (JSON), with optional SFTP flat-file data feeds
- Authentication
- OAuth 1.0 — consumer key/secret plus an access token/secret issued per approved application in the NuORDER Portal (Admin > Settings > API Management > Approved Applications)
- Change detection
- Polling on modified date: a date-range order endpoint returns the IDs of orders changed within a UTC start/end window; products and customers are pulled by last-modified date. No native webhooks.
- Capabilities
- read · write
- Rate limits
- Results are cursor-paginated via lastId/lastValue exposed in a 'next' response header (null on the last page); published request-rate limits are not documented and are governed per integration.
How it works
How to connect Neo4j to Nuorder — 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 Neo4j and Nuorder with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Neo4j
connected
Nuorder
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Neo4j and Nuorder 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 · Neo4j ⇄ NuorderCustomers 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.
Neo4j NuorderCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Neo4j and Nuorder integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Neo4j and Nuorder: authenticate both systems, choose the objects to sync (such as Neo4j's Relationships and Properties), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Neo4j: Cypher is its declarative query language, and MERGE semantics give integrations a native upsert primitive for idempotent syncs. Nuorder: Change tracking is polling-based: the API exposes a date-range endpoint returning order IDs modified within a UTC window rather than pushing native webhooks. Stacksync's field mapping accounts for these differences between Neo4j and Nuorder 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 Neo4j and Nuorder 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 Neo4j and Nuorder connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Neo4j–Nuorder integration in-house.
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Yes — Stacksync ships production-grade connectors for both Neo4j and Nuorder. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Neo4j: Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties. On Nuorder: Polling on modified date: a date-range order endpoint returns the IDs of orders changed within a UTC start/end window; products and customers are pulled by last-modified date. No native webhooks. 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:
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