Two-way sync
Changes in DEAR Inventory or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Keep DEAR Inventory 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 Stock adjustments and transfers, Assemblies / Production, Locations, Products from DEAR Inventory into Neo4j and keeps both sides consistent in real time. Whatever DEAR Inventory 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 DEAR Inventory with its validations respected.
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 DEAR Inventory, keeping the ERP authoritative.
Records from DEAR Inventory live in Neo4j as ordinary tables or collections, joinable with the rest of your data.
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.
| DEAR Inventory objects | Neo4j objects | |
|---|---|---|
| Locations Warehouses and bins that scope stock levels and fulfillment. | Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | |
| Products SKU records with pricing, suppliers, and bill-of-material links; the master data most syncs start from. | Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | |
| Stock levels Per-location availability derived from inventory transactions; read-heavy in storefront syncs. | Users & Roles Security principals controlling what an integration credential can query or modify. | |
| Sale orders Customer orders through their pick/pack/ship lifecycle; synced with storefronts and CRMs. | Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | |
| Purchase orders Supplier orders and receiving records synced with accounting and planning tools. | Relationships Typed, directed edges that carry the connections syncs exist to model. | |
| Customers Buyer records aligned with CRM and accounting counterparts. | Properties Key-value attributes on both nodes and relationships, mapped from source fields. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DEAR Inventory–Neo4j connection.
Changes in DEAR Inventory or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever DEAR Inventory 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 DEAR Inventory or Neo4j record.
Track your DEAR Inventory ⇄ Neo4j sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between DEAR Inventory 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 DEAR Inventory 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 DEAR Inventory 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 DEAR Inventory and Neo4j: authenticate both systems, choose the objects to sync (such as DEAR Inventory's Locations and Products), 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 DEAR Inventory and Neo4j records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed DEAR Inventory and Neo4j connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom DEAR Inventory–Neo4j integration in-house.
Yes — Stacksync ships production-grade connectors for both DEAR Inventory and Neo4j. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on DEAR Inventory: Polling with modified-since filters; webhook notifications for sale and purchase events are available on subscriptions that include the Automation module. 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: Labels, Indexes & Constraints, Databases, Users & Roles, plus custom fields where Neo4j exposes them. On the DEAR Inventory side: Stock adjustments and transfers, Assemblies / Production, Locations, Products. 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 386 integrations available for DEAR Inventory and Neo4j.