Two-way sync
Changes in Magento or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Keep Magento 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.
E-commerce data sits behind an API built for the storefront, not for your internal systems. Teams that need those records, for order routing, inventory logic, reporting, or back-office tools, end up writing integration code against a rate-limited API and maintaining it through every catalog change and platform upgrade.
Stacksync mirrors Orders, Customers, Inventory source items (MSI), Invoices from Magento into Neo4j and keeps both sides consistent in real time. Whatever Magento holds, whether products, orders, customers, or inventory, those records become rows your code can query, and changes written in Neo4j, such as new prices, stock levels, or fulfillment status, sync back into Magento with its validations respected.
Merchandising and operations keep working in the storefront, engineers keep working in the database, and neither side has to reconcile against a nightly export.
Scripts and services read and write the synced tables; Stacksync handles the Magento API, rate limits, and retries.
Updates in Magento arrive as row changes in Neo4j, so jobs and triggers can respond the moment an order, price, or stock level changes.
Prices, stock levels, or product details maintained in Neo4j sync back onto Magento, so the storefront shows what your systems treat as true.
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.
| Magento objects | Neo4j objects | How this pairing syncs | |
|---|---|---|---|
| Products Catalog items keyed by SKU; carry created_at/updated_at for incremental polling and are written two-way from a PIM or ERP into the storefront. | Relationships Typed, directed edges that carry the connections syncs exist to model. | Products is specific to Magento and Relationships to Neo4j — each maps to any object or custom field on the other side. | |
| Configurable / variant products Parent configurable products link to simple product variants by attribute; synced so size/color SKUs and their prices stay aligned with source systems. | Properties Key-value attributes on both nodes and relationships, mapped from source fields. | Configurable / variant products is specific to Magento and Properties to Neo4j — each maps to any object or custom field on the other side. | |
| Categories Catalog tree and product-to-category assignments; written into Magento to control merchandising and read out for taxonomy reporting. | Labels Node type markers used to map source tables or objects onto the graph. | Categories is specific to Magento and Labels to Neo4j — each maps to any object or custom field on the other side. | |
| Orders Sales orders with line items, totals, and status; typically read out of Magento into a warehouse or ERP for fulfillment and revenue reporting. | Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | Orders is specific to Magento and Indexes & Constraints to Neo4j — each maps to any object or custom field on the other side. | |
| Customers Customer accounts and address book; synced two-way with a CRM so order history and contact records stay consistent. | Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Customers is specific to Magento and Databases to Neo4j — each maps to any object or custom field on the other side. | |
| Inventory source items (MSI) Per-source stock quantities under Multi-Source Inventory; written from a WMS/ERP so storefront stock matches the warehouse. | Users & Roles Security principals controlling what an integration credential can query or modify. | Inventory source items (MSI) is specific to Magento and Users & Roles 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.
DetectionMagento notifies Stacksync of record changes through webhook events. Polling with searchCriteria filters on updated_at (catalog, sales, and customer entities carry created_at/updated_at).
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 Magento through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Magento–Neo4j connection.
Changes in Magento or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Magento 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 Magento or Neo4j record.
Track your Magento ⇄ Neo4j sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Magento 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 Magento 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 Magento 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 Magento and Neo4j: authenticate both systems, choose the objects to sync (such as Magento's Products and Configurable / variant products), map fields visually, and changes propagate both ways in milliseconds — no code required.
Magento: REST and GraphQL Web APIs (SOAP also available). Authentication: Token-based OAuth: an integration's access token (consumer key/secret + access token/secret) or a Bearer admin token (default 4-hour expiry); Adobe Commerce as a Cloud Service authenticates via Adobe IMS (OAuth 2). 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.
Neo4j: Schema is optional, but uniqueness constraints and indexes are the standard way to make keyed syncs deterministic. Magento: Products are keyed by SKU and other entities by entity_id; REST responses are filtered via searchCriteria, and catalog, sales, and customer entities carry created_at/updated_at for incremental polling. Stacksync's field mapping accounts for these differences between Magento and Neo4j without custom code.
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 Magento and Neo4j records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Magento and Neo4j connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Magento–Neo4j integration in-house.
Yes — Stacksync ships production-grade connectors for both Magento and Neo4j. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 475 integrations available for Magento and Neo4j.