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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.

  • 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 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

  • Mirror CRM accounts and contacts into a graph to model buying-group and referral relationships.
  • Sync product catalog and order history into Neo4j to power recommendation queries.
  • Mirror on-hand inventory by warehouse into merchant systems to drive available-to-promise and reorder logic.
  • Push receiving confirmations back to purchasing systems when inbound stock arrives.

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
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.
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.
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.
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.
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.
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.
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.

Real-time

Two-way sync

Changes in Extensiv (3PL Central) or Neo4j instantly reflect in both systems. No stale data, no manual imports.

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.

  1. 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Extensiv (3PL Central) connected
    Neo4j connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Extensiv (3PL Central) ⇄ Neo4j
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Extensiv (3PL Central) Neo4j
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Extensiv (3PL Central) and Neo4j integration FAQ

SECURITY

Security teams love 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
CSA STAR
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

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Extensiv (3PL Central) and Neo4j.

Popular · 8 of 386
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