Two-way sync
Changes in Acumatica or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Keep Acumatica 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.
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 Vendors, Sales Orders, Invoices, Purchase Orders from Acumatica into Neo4j and keeps both sides consistent in real time. Whatever Acumatica 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 Acumatica with its validations respected.
Choose exactly which tables and fields may flow from Neo4j back into Acumatica, keeping the ERP authoritative.
Records from Acumatica 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 Acumatica interface, limits, and retries.
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.
| Acumatica objects | Neo4j objects | How this pairing syncs | |
|---|---|---|---|
| Stock Items Inventory master data with quantities shared with external sales channels. | Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Stock Items is specific to Acumatica and Databases to Neo4j — each maps to any object or custom field on the other side. | |
| Shipments Fulfillment documents read to update tracking in storefronts and CRMs. | Users & Roles Security principals controlling what an integration credential can query or modify. | Shipments is specific to Acumatica and Users & Roles to Neo4j — each maps to any object or custom field on the other side. | |
| Payments Customer payment records reconciled against invoices from payment platforms. | Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Payments is specific to Acumatica and Nodes to Neo4j — each maps to any object or custom field on the other side. | |
| Journal Transactions GL entries replicated into reporting databases. | Relationships Typed, directed edges that carry the connections syncs exist to model. | Journal Transactions is specific to Acumatica and Relationships to Neo4j — each maps to any object or custom field on the other side. | |
| Projects Project cost and billing structures synced with delivery tools. | Properties Key-value attributes on both nodes and relationships, mapped from source fields. | Projects is specific to Acumatica and Properties to Neo4j — each maps to any object or custom field on the other side. | |
| Opportunities and Cases Built-in CRM records synced with external sales and support tools. | Labels Node type markers used to map source tables or objects onto the graph. | Opportunities and Cases is specific to Acumatica and Labels to Neo4j — 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.
DetectionAcumatica notifies Stacksync of record changes through webhook events. Push notifications configurable on data changes, plus polling on LastModifiedDateTime fields.
DeliveryEach detected change is written to Neo4j through its API, with automatic retries and rate-limit backoff.
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 Acumatica through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Acumatica–Neo4j connection.
Changes in Acumatica or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Acumatica or Neo4j data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Acumatica or Neo4j record.
Track your Acumatica ⇄ Neo4j sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Acumatica and Neo4j.
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 Acumatica 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.
Pick the Acumatica 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.
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 Acumatica and Neo4j: authenticate both systems, choose the objects to sync (such as Acumatica's Stock Items and Shipments), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Acumatica: Push notifications configurable on data changes, plus polling on LastModifiedDateTime fields. On Neo4j: Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Neo4j side: Nodes, Relationships, Properties, Labels, plus custom fields where Neo4j exposes them. On the Acumatica side: Vendors, Sales Orders, Invoices, Purchase Orders. 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 Acumatica and Neo4j: Controlled write-back; Read ERP records with a query; Internal tools and automations without API code. Choose exactly which tables and fields may flow from Neo4j back into Acumatica, keeping the ERP authoritative.
Acumatica: Contract-based REST API (JSON over versioned endpoints), plus SOAP web services and OData access to Generic Inquiries. Authentication: OAuth 2.0 or cookie-based session login with Acumatica credentials. 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.
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 527 integrations available for Acumatica and Neo4j.