Real-time
Two-way sync
Changes in Neo4j or Zuora instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Accounting and finance
Neo4j to Zuora integration — real-time, two-way sync
Keep Neo4j and Zuora in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Migrated from Celigo
Why teams connect Neo4j and Zuora
Work with Zuora's financial data straight from Neo4j: read it with ordinary queries, write to it from your own code, and let Stacksync keep both sides consistent.
Engineers need finance data more often than finance systems make it easy to get: for internal tools, reporting services, or logic that reacts to invoices and payments. Working through the vendor API means rate limits, pagination, and glue code that has to be maintained forever.
Stacksync mirrors Product and Product Rate Plan (Product Catalog), Invoice, Payment, Usage from Zuora into Nodes, Relationships, Properties, Labels in Neo4j and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Neo4j, and rows your code writes or updates flow back into Zuora with validation, so the finance system stays the system of record.
Common use cases
- 01 Stream metered Usage records from a warehouse or metering pipeline into Zuora so consumption-based charges are rated on the correct Rate Plan.
- 02 Two-way sync of Accounts and Subscriptions with an operational Postgres database so product and finance teams read billing state in SQL while changes flow back into Zuora.
- 03 Keep a customer-360 graph continuously updated from ERP, CRM, and support sources.
- 04 Mirror CRM accounts and contacts into a graph to model buying-group and referral relationships.
Common sync patterns
Query finance data like any other data
Customers, invoices, and payments from Zuora live in Neo4j as regular tables or collections your team can join, index, and query.
Internal tools without API plumbing
Build dashboards and back-office tools directly on Neo4j; Stacksync handles the API calls, rate limits, and retries against Zuora.
Write back safely
Updates written to the synced tables in Neo4j propagate into Zuora, so automations can create or correct finance records without custom integration code.
What you can sync between Neo4j and Zuora
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 | Zuora objects | How this pairing syncs | |
|---|---|---|---|
| Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Invoice Billing documents generated from rate plan charges and order line items; typically read out into an ERP or GL for revenue recognition and reconciliation. | Nodes is specific to Neo4j and Invoice to Zuora — each maps to any object or custom field on the other side. | |
| Relationships Typed, directed edges that carry the connections syncs exist to model. | Payment Payment and refund transactions applied against invoices; read for cash application, dunning, and reconciliation reporting in the warehouse. | Relationships is specific to Neo4j and Payment to Zuora — 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. | Usage Metered consumption records; written into Zuora from a metering or warehouse pipeline so consumption-based charges are rated and invoiced. | Properties is specific to Neo4j and Usage to Zuora — 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. | Order and Amendment Records of subscription create and change actions; written to Zuora to drive quote-to-cash and read for subscription change history. | Labels is specific to Neo4j and Order and Amendment to Zuora — 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. | Account (Billing Account) The customer billing entity holding contacts, payment methods, and billing settings; synced two-way as the parent record most other Zuora objects hang off. | Indexes & Constraints is specific to Neo4j and Account (Billing Account) to Zuora — 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. | Subscription Recurring or usage-based subscription tied to an Account; read for revenue state and written when provisioning or changing plans from a CRM or app. | Databases is specific to Neo4j and Subscription to Zuora — each maps to any object or custom field on the other side. |
How changes propagate between Neo4j and Zuora
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.
Neo4j Zuora Sub-second propagation
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 Zuora through its API, with automatic retries and rate-limit backoff.
Zuora Neo4j Sub-second propagation
DetectionZuora notifies Stacksync of record changes through webhook events. Incremental extraction on the indexed UpdatedDate column via ZOQL/AQuA stateful mode (high-water mark), plus Callout Notifications (webhooks) for.
DeliveryEach detected change is written to Neo4j through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Zuora: Concurrency limits: 40 concurrent requests by default, 80 for Object Queries, 200 for high-volume operations (doubled for Performance Booster); HTTP 429 on breach with exponential backoff; OAuth token endpoint is not bound by the limit.
What ships with Neo4j ⇄ Zuora
Connect Neo4j and Zuora for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Neo4j–Zuora connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Neo4j or Zuora data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Neo4j or Zuora record.
Observability
Monitoring
Track your Neo4j ⇄ Zuora sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Neo4j and Zuora.
How the Neo4j and Zuora connectors work
Neo4j
- Integration surface
- Bolt binary protocol with Cypher via official drivers, plus an HTTP query API
- Authentication
- Username/password (basic auth); enterprise deployments add SSO options
- Change detection
- Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties
- Capabilities
- read · write · CDC
Zuora
- Integration surface
- REST API (v1) with Object Query, Data Query, and AQuA bulk export; legacy SOAP API also available
- Authentication
- OAuth 2.0 client credentials (bearer token, 3600s expiry); access is governed by the Zuora role of the OAuth client's associated user, with no granular scopes
- Change detection
- Incremental extraction on the indexed UpdatedDate column via ZOQL/AQuA stateful mode (high-water mark), plus Callout Notifications (webhooks) for event-driven changes
- Capabilities
- read · write · webhooks
- Rate limits
- Concurrency limits: 40 concurrent requests by default, 80 for Object Queries, 200 for high-volume operations (doubled for Performance Booster); HTTP 429 on breach with exponential backoff; OAuth token endpoint is not bound by the limit.
How it works
How to connect Neo4j to Zuora — three steps, no code
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.
- 01
Connect your apps
Authenticate Neo4j and Zuora with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Neo4j
connected
Zuora
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Neo4j and Zuora 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.
objects · Neo4j ⇄ ZuoraCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Neo4j ZuoraCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Neo4j and Zuora integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Neo4j and Zuora: authenticate both systems, choose the objects to sync (such as Neo4j's Nodes and Relationships), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 Zuora records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Neo4j and Zuora connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Neo4j–Zuora integration in-house.
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Yes — Stacksync ships production-grade connectors for both Neo4j and Zuora. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Neo4j: Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties. On Zuora: Incremental extraction on the indexed UpdatedDate column via ZOQL/AQuA stateful mode (high-water mark), plus Callout Notifications (webhooks) for event-driven changes. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Zuora side: Product and Product Rate Plan (Product Catalog), Invoice, Payment, Usage, plus custom fields where Zuora exposes them. On the Neo4j side: Nodes, Relationships, Properties, Labels. Stacksync auto-detects both schemas and converts types between the two systems.
SECURITY
Security teams trust Stacksync
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
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