Two-way sync
Changes in Deposco or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Keep Deposco 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 Customers, Items / SKUs, Inventory, Sales orders from Deposco into Neo4j and keeps both sides consistent in real time. Whatever Deposco 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 Deposco with its validations respected.
Records from Deposco 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 Deposco interface, limits, and retries.
Updates in Deposco arrive as row changes in Neo4j, so jobs and triggers can respond as the business record changes.
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.
| Deposco objects | Neo4j objects | |
|---|---|---|
| Inventory On-hand and available quantities by warehouse and location, read frequently by storefront syncs. | Properties Key-value attributes on both nodes and relationships, mapped from source fields. | |
| Sales orders Orders flowing in from ERP or e-commerce systems for fulfillment. | Labels Node type markers used to map source tables or objects onto the graph. | |
| Shipments Outbound shipment and tracking records synced back to order-origin systems. | Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | |
| Purchase orders / ASNs Inbound expectations used to plan receiving. | Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | |
| Receipts Confirmation of received inventory that updates stock positions. | Users & Roles Security principals controlling what an integration credential can query or modify. | |
| Warehouses / Locations Facility and bin structures that scope inventory records. | Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Deposco–Neo4j connection.
Changes in Deposco or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Deposco 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 Deposco or Neo4j record.
Track your Deposco ⇄ Neo4j sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Deposco 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 Deposco 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 Deposco 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 Deposco and Neo4j: authenticate both systems, choose the objects to sync (such as Deposco's Inventory and Sales orders), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Deposco and Neo4j. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Deposco: Polling on order and inventory endpoints, subject to the platform's integration patterns. 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: Properties, Labels, Indexes & Constraints, Databases, plus custom fields where Neo4j exposes them. On the Deposco side: Customers, Items / SKUs, Inventory, Sales 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 Deposco and Neo4j: Read ERP records with a query; Internal tools and automations without API code; React to ERP changes. Records from Deposco live in Neo4j as ordinary tables or collections, joinable with the rest of your data.
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 Deposco and Neo4j.