Real-time
Two-way sync
Changes in Neo4j or Orderful instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Business productivity
Neo4j to Orderful integration — real-time, two-way sync
Keep Neo4j and Orderful 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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Migrated from Celigo
Why teams connect Neo4j and Orderful
Mirror Orderful's data into Neo4j so your own code can read and write it like any other table, with changes flowing both ways in seconds.
Engineers integrate with tools like Orderful through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Neo4j.
Stacksync mirrors Trading partners, Relationships, Validation guidelines, Acknowledgments from Orderful into Properties, Labels, Indexes & Constraints, Databases in Neo4j and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Orderful, so the tool and the database never disagree.
Common use cases
- 01 Push invoices and advance ship notices from the ERP through Orderful to retail trading partners.
- 02 Mirror transaction statuses and acknowledgments into a database for supply chain visibility dashboards.
- 03 Write computed relationship scores (fraud, influence, similarity) back to operational systems.
- 04 Keep a customer-360 graph continuously updated from ERP, CRM, and support sources.
Common sync patterns
Automate Orderful from your codebase
Write to the synced tables in Neo4j and Stacksync propagates the change into Orderful, replacing custom integration code.
React to changes as they happen
Updates in Orderful arrive as row changes in Neo4j, so triggers, jobs, and services can respond in near real time.
One integration pattern for the whole stack
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
What you can sync between Neo4j and Orderful
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 | Orderful objects | How this pairing syncs | |
|---|---|---|---|
| Relationships Typed, directed edges that carry the connections syncs exist to model. | Relationships Active partner connections per transaction type that govern what can be sent and received | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Labels Node type markers used to map source tables or objects onto the graph. | Acknowledgments 997 functional acknowledgments confirming receipt of transmitted documents | Labels is specific to Neo4j and Acknowledgments to Orderful — 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. | Webhook events Push notifications for inbound documents and transaction status changes | Indexes & Constraints is specific to Neo4j and Webhook events to Orderful — 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. | Transactions EDI documents such as 850 purchase orders, 810 invoices, and 856 ship notices, represented as JSON | Databases is specific to Neo4j and Transactions to Orderful — 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. | Trading partners The retailers, carriers, and suppliers a company exchanges documents with | Users & Roles is specific to Neo4j and Trading partners to Orderful — 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. | Validation guidelines Partner-specific rules transactions are checked against before delivery | Nodes is specific to Neo4j and Validation guidelines to Orderful — each maps to any object or custom field on the other side. |
How changes propagate between Neo4j and Orderful
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 Orderful 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 Orderful through its API, with automatic retries and rate-limit backoff.
Orderful Neo4j Sub-second propagation
DetectionOrderful notifies Stacksync of record changes through webhook events. Webhooks push inbound transactions and status events.
DeliveryEach detected change is written to Neo4j through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Orderful: Subject to the platform's API rate limits.
What ships with Neo4j ⇄ Orderful
Connect Neo4j and Orderful for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Neo4j–Orderful connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Neo4j or Orderful 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 Orderful record.
Observability
Monitoring
Track your Neo4j ⇄ Orderful 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 Orderful.
How the Neo4j and Orderful 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
Orderful
- Integration surface
- REST API (JSON)
- Authentication
- API key
- Change detection
- webhooks push inbound transactions and status events; polling available as fallback
- Capabilities
- read · write · webhooks
- Rate limits
- subject to the platform's API rate limits
How it works
How to connect Neo4j to Orderful — 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 Orderful 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
Orderful
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Neo4j and Orderful 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 ⇄ OrderfulCustomers 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 OrderfulCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Neo4j and Orderful integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Neo4j and Orderful: authenticate both systems, choose the objects to sync (such as Neo4j's Relationships and Labels), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Orderful: Inbound documents and status changes arrive via webhooks rather than requiring scheduled VAN mailbox polling. Neo4j: Neo4j uses a property graph model in which nodes and relationships both carry key-value properties, so edges hold data rather than just linking rows. Stacksync's field mapping accounts for these differences between Neo4j and Orderful 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 Orderful 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 Orderful connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Neo4j–Orderful integration in-house.
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Yes — Stacksync ships production-grade connectors for both Neo4j and Orderful. 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 Orderful: Webhooks push inbound transactions and status events; polling available as fallback. 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:
Related integrations
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