Two-way sync
Changes in Neo4j or Sage 300 instantly reflect in both systems. No stale data, no manual imports.
Keep Neo4j and Sage 300 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 Inventory Items, AR Invoices and Receipts, AR Customers, AP Vendors from Sage 300 into Neo4j and keeps both sides consistent in real time. Whatever Sage 300 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 Sage 300 with its validations respected.
Updates in Sage 300 arrive as row changes in Neo4j, so jobs and triggers can respond as the business record changes.
Worker and org records stay current in Neo4j for provisioning, access, and reporting systems that read from the database.
Choose exactly which tables and fields may flow from Neo4j back into Sage 300, keeping the ERP authoritative.
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 | Sage 300 objects | How this pairing syncs | |
|---|---|---|---|
| Relationships Typed, directed edges that carry the connections syncs exist to model. | Journal Batches GL entries staged in batches that must be posted; a common write target for external systems. | Relationships is specific to Neo4j and Journal Batches to Sage 300 — 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. | Order Entry Orders Sales orders written from e-commerce or EDI feeds. | Properties is specific to Neo4j and Order Entry Orders to Sage 300 — 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. | Purchase Orders Procurement documents read for spend visibility and receiving. | Labels is specific to Neo4j and Purchase Orders to Sage 300 — 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. | Inventory Items Item master with costing and quantities, synced to storefronts and WMS. | Indexes & Constraints is specific to Neo4j and Inventory Items to Sage 300 — 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. | AR Invoices and Receipts Billing and payment records replicated for cash and revenue reporting. | Databases is specific to Neo4j and AR Invoices and Receipts to Sage 300 — 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. | AR Customers Receivables customer master synced to CRMs and billing tools. | Users & Roles is specific to Neo4j and AR Customers to Sage 300 — 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.
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 applied to Sage 300 as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Sage 300 for changes on an incremental schedule, reading only records changed since the previous pass. Scheduled polling.
DeliveryEach detected change is written to Neo4j through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Neo4j–Sage 300 connection.
Changes in Neo4j or Sage 300 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Neo4j or Sage 300 data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Neo4j or Sage 300 record.
Track your Neo4j ⇄ Sage 300 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Neo4j and Sage 300.
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 Neo4j and Sage 300 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 Neo4j and Sage 300 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 Neo4j and Sage 300: 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.
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 Sage 300 records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Neo4j and Sage 300 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Neo4j–Sage 300 integration in-house.
Yes — Stacksync ships production-grade connectors for both Neo4j and Sage 300. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Neo4j: Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties. On Sage 300: Scheduled polling; batch-oriented modules with no webhook surface. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Neo4j side: Relationships, Properties, Labels, Indexes & Constraints, plus custom fields where Neo4j exposes them. On the Sage 300 side: Inventory Items, AR Invoices and Receipts, AR Customers, AP Vendors. Stacksync auto-detects both schemas and converts types between the two systems.
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 520 integrations available for Neo4j and Sage 300.