Two-way sync
Changes in Coupa or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Keep Coupa 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.
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 Invoices, Suppliers, Users, Accounts from Coupa 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 Coupa with validation, so the finance system stays the system of record.
Updates written to the synced tables in Neo4j propagate into Coupa, so automations can create or correct finance records without custom integration code.
Changes in Coupa appear in Neo4j as row changes, so you can trigger downstream logic with the database tooling you already use.
Customers, invoices, and payments from Coupa live in Neo4j as regular tables or collections your team can join, index, and query.
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.
| Coupa objects | Neo4j objects | How this pairing syncs | |
|---|---|---|---|
| Suppliers Supplier master records; kept aligned with an ERP vendor master and onboarding tools, synced two-way on the /suppliers resource. | Properties Key-value attributes on both nodes and relationships, mapped from source fields. | Suppliers is specific to Coupa and Properties to Neo4j — each maps to any object or custom field on the other side. | |
| Users Employee and user accounts with roles and content groups; provisioned and updated from an HRIS or identity provider. | Labels Node type markers used to map source tables or objects onto the graph. | Users is specific to Coupa and Labels to Neo4j — each maps to any object or custom field on the other side. | |
| Accounts Chart-of-accounts segments and GL codes; usually mastered in the ERP and written into Coupa so requisitions and invoices code correctly. | Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | Accounts is specific to Coupa and Indexes & Constraints to Neo4j — each maps to any object or custom field on the other side. | |
| Contracts Supplier contract records with terms and dates; read out for reporting or created from a CLM system. | Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Contracts is specific to Coupa and Databases to Neo4j — each maps to any object or custom field on the other side. | |
| Expense Reports Employee expense reports and their lines; exported to AP or ERP for reimbursement and GL posting. | Users & Roles Security principals controlling what an integration credential can query or modify. | Expense Reports is specific to Coupa and Users & Roles to Neo4j — each maps to any object or custom field on the other side. | |
| Requisitions Employee purchase requests with lines and approval chains; read out to warehouses, or created via the API from upstream intake tools. | Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Requisitions is specific to Coupa and Nodes 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.
DetectionStacksync polls Coupa for changes on an incremental schedule, reading only records changed since the previous pass. Polling on updated-at and created-at filters (e.g.
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 Coupa through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Coupa–Neo4j connection.
Changes in Coupa or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Coupa 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 Coupa or Neo4j record.
Track your Coupa ⇄ Neo4j sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Coupa 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 Coupa 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 Coupa 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 Coupa and Neo4j: authenticate both systems, choose the objects to sync (such as Coupa's Suppliers and Users), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Coupa: Polling on updated-at and created-at filters (e.g. updated-at[gt]=<timestamp>); Coupa has no native webhook subscriptions, though admins can configure outbound Call Out / external notifications. 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 Coupa side: Invoices, Suppliers, Users, Accounts, plus custom fields where Coupa exposes them. On the Neo4j side: Nodes, Relationships, Properties, Labels. 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 Coupa and Neo4j: Write back safely; React to financial events; Query finance data like any other data. Updates written to the synced tables in Neo4j propagate into Coupa, so automations can create or correct finance records without custom integration code.
Coupa: REST Core API (JSON or XML). Authentication: OAuth 2.0 / OIDC via the client-credentials grant; scopes take the service.object.right form (e.g. core.accounting.read, core.accounting.write). Legacy API keys are being retired (no new keys since R34; API-key auth unsupported from R36). Access tokens last 24 hours. 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.
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 512 integrations available for Coupa and Neo4j.