Real-time
Two-way sync
Changes in Extensiv (3PL Central) or Neo4j instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Database
Extensiv (3PL Central) to Neo4j integration — real-time, two-way sync
Keep Extensiv (3PL Central) and Neo4j in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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Why teams connect Extensiv (3PL Central) and Neo4j
Give your engineers Extensiv (3PL Central)'s data in Neo4j: read it with normal queries, write back through the sync, and skip the ERP API entirely.
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 Orders, Receivers, Shipments, Warehouses from Extensiv (3PL Central) into Neo4j and keeps both sides consistent in real time. Whatever Extensiv (3PL Central) 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 Extensiv (3PL Central) with its validations respected.
Common use cases
- 01 Mirror CRM accounts and contacts into a graph to model buying-group and referral relationships.
- 02 Sync product catalog and order history into Neo4j to power recommendation queries.
- 03 Mirror on-hand inventory by warehouse into merchant systems to drive available-to-promise and reorder logic.
- 04 Push receiving confirmations back to purchasing systems when inbound stock arrives.
Common sync patterns
Read ERP records with a query
Records from Extensiv (3PL Central) 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 Extensiv (3PL Central) interface, limits, and retries.
React to ERP changes
Updates in Extensiv (3PL Central) arrive as row changes in Neo4j, so jobs and triggers can respond as the business record changes.
What you can sync between Extensiv (3PL Central) and Neo4j
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.
| Extensiv (3PL Central) objects | Neo4j objects | How this pairing syncs | |
|---|---|---|---|
| Customers The 3PL's clients; nearly every other record is scoped to one, so syncs carry customer context on each call. | Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Customers is specific to Extensiv (3PL Central) and Nodes to Neo4j — each maps to any object or custom field on the other side. | |
| Items SKU masters kept aligned between the merchant's systems and the warehouse. | Relationships Typed, directed edges that carry the connections syncs exist to model. | Items is specific to Extensiv (3PL Central) and Relationships to Neo4j — each maps to any object or custom field on the other side. | |
| Inventory On-hand and available quantities by warehouse, mirrored out to drive channel availability. | Properties Key-value attributes on both nodes and relationships, mapped from source fields. | Inventory is specific to Extensiv (3PL Central) and Properties to Neo4j — each maps to any object or custom field on the other side. | |
| Orders Outbound fulfillment orders pushed in from commerce or ERP systems. | Labels Node type markers used to map source tables or objects onto the graph. | Orders is specific to Extensiv (3PL Central) and Labels to Neo4j — each maps to any object or custom field on the other side. | |
| Receivers Inbound receiving records (receipts/ASNs) that confirm stock arrival back to purchasing systems. | Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | Receivers is specific to Extensiv (3PL Central) and Indexes & Constraints to Neo4j — each maps to any object or custom field on the other side. | |
| Shipments Carrier and tracking details synced back once orders ship. | Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Shipments is specific to Extensiv (3PL Central) and Databases to Neo4j — each maps to any object or custom field on the other side. |
How changes propagate between Extensiv (3PL Central) and Neo4j
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.
Extensiv (3PL Central) Neo4j Sub-second propagation
DetectionExtensiv (3PL Central) notifies Stacksync of record changes through webhook events. Webhook events for order, receipt, item, and inventory changes, with polling on modified-date filters as a fallback.
DeliveryEach detected change is written to Neo4j through its API, with automatic retries and rate-limit backoff.
Neo4j Extensiv (3PL Central) 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 Extensiv (3PL Central) through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Extensiv (3PL Central): Subject to the platform's API rate limits; batch endpoints reduce call volume for order and inventory syncs.
What ships with Extensiv (3PL Central) ⇄ Neo4j
Connect Extensiv (3PL Central) and Neo4j for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Extensiv (3PL Central)–Neo4j connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Extensiv (3PL Central) or Neo4j 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 Extensiv (3PL Central) or Neo4j record.
Observability
Monitoring
Track your Extensiv (3PL Central) ⇄ Neo4j sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Extensiv (3PL Central) and Neo4j.
How the Extensiv (3PL Central) and Neo4j connectors work
Extensiv (3PL Central)
- Integration surface
- REST API
- Authentication
- Short-lived access tokens obtained from integration client credentials (client ID and secret)
- Change detection
- Webhook events for order, receipt, item, and inventory changes, with polling on modified-date filters as a fallback
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to the platform's API rate limits; batch endpoints reduce call volume for order and inventory syncs
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
How it works
How to connect Extensiv (3PL Central) to Neo4j — 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 Extensiv (3PL Central) and Neo4j with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Extensiv (3PL Central)
connected
Neo4j
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Extensiv (3PL Central) and Neo4j 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 · Extensiv (3PL Central) ⇄ Neo4jCustomers 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.
Extensiv (3PL Central) Neo4jCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Extensiv (3PL Central) and Neo4j integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Extensiv (3PL Central) and Neo4j: authenticate both systems, choose the objects to sync (such as Extensiv (3PL Central)'s Customers and Items), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Neo4j side: Databases, Users & Roles, Nodes, Relationships, plus custom fields where Neo4j exposes them. On the Extensiv (3PL Central) side: Orders, Receivers, Shipments, Warehouses. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for Extensiv (3PL Central) and Neo4j: Read ERP records with a query; Internal tools and automations without API code; React to ERP changes. Records from Extensiv (3PL Central) live in Neo4j as ordinary tables or collections, joinable with the rest of your data.
-
Extensiv (3PL Central): REST API. Authentication: Short-lived access tokens obtained from integration client credentials (client ID and secret). Neo4j: Bolt binary protocol with Cypher via official drivers, plus an HTTP query API. Authentication: Username/password (basic auth); enterprise deployments add SSO options. Stacksync manages authentication, retries, and rate limits on both sides.
-
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. Extensiv (3PL Central): The data model is multi-client by design: records belong to a specific 3PL customer, so integrations must map each merchant to the right customer scope. Stacksync's field mapping accounts for these differences between Extensiv (3PL Central) and Neo4j without custom code.
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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