Real-time
Two-way sync
Changes in Neo4j or Ramp instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Accounting and finance
Neo4j to Ramp integration — real-time, two-way sync
Keep Neo4j and Ramp 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
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Neo4j and Ramp
Work with Ramp'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 Users, Departments, Reimbursements, Bills from Ramp 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 Ramp with validation, so the finance system stays the system of record.
Common use cases
- 01 Mirror Bills and their approval and payment state into an AP or ERP system, marking each one ready-to-sync then synced to keep both ledgers reconciled.
- 02 Read Reimbursements into a finance database for cross-entity expense reporting and reconciliation without manual CSV exports.
- 03 Mirror CRM accounts and contacts into a graph to model buying-group and referral relationships.
- 04 Sync product catalog and order history into Neo4j to power recommendation queries.
Common sync patterns
Query finance data like any other data
Customers, invoices, and payments from Ramp 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 Ramp.
Write back safely
Updates written to the synced tables in Neo4j propagate into Ramp, so automations can create or correct finance records without custom integration code.
What you can sync between Neo4j and Ramp
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 | Ramp objects | How this pairing syncs | |
|---|---|---|---|
| Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Transactions Card purchase records with merchant, amount, and state; read for spend/GL sync and written back via accounting codings and sync status. | Nodes is specific to Neo4j and Transactions to Ramp — each maps to any object or custom field on the other side. | |
| Relationships Typed, directed edges that carry the connections syncs exist to model. | Cards Physical and virtual card records; created and managed through the API to provision or suspend cardholder spend. | Relationships is specific to Neo4j and Cards to Ramp — 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. | Users Employee and cardholder records; invited, updated, and deactivated, commonly synced from an HRIS or identity provider. | Properties is specific to Neo4j and Users to Ramp — 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. | Departments Org groupings for cost-center and GL allocation; pushed from an ERP/HRIS and referenced by cards and transactions. | Labels is specific to Neo4j and Departments to Ramp — 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. | Reimbursements Out-of-pocket expense claims; read for reporting and marked ready-to-sync then synced to the ERP. | Indexes & Constraints is specific to Neo4j and Reimbursements to Ramp — 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. | Bills Accounts-payable bills; created, updated, approved, and paid, then posted ready-to-sync and synced to accounting. | Databases is specific to Neo4j and Bills to Ramp — each maps to any object or custom field on the other side. |
How changes propagate between Neo4j and Ramp
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 Ramp 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 Ramp through its API, with automatic retries and rate-limit backoff.
Ramp Neo4j Sub-second propagation
DetectionRamp notifies Stacksync of record changes through webhook events. Signed webhooks (HMAC-SHA256 X-Ramp-Signature) for bill, transaction, reimbursement, vendor, and user events.
DeliveryEach detected change is written to Neo4j through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Ramp: 200 requests per 10-second rolling window per source IP; exceeding it returns 429 Too Many Requests, and requests running over 60 seconds return 504. Results use keyset pagination (follow the page.next URL / start cursor); higher limits can be requested from support.
What ships with Neo4j ⇄ Ramp
Connect Neo4j and Ramp for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Neo4j–Ramp connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Neo4j or Ramp 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 Ramp record.
Observability
Monitoring
Track your Neo4j ⇄ Ramp 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 Ramp.
How the Neo4j and Ramp 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
Ramp
- Integration surface
- REST API (Developer API v1)
- Authentication
- OAuth 2.0: exchange client_id/client_secret (HTTP Basic) at api.ramp.com/developer/v1/token for scoped bearer tokens; client_credentials grant for server-to-server and authorization_code for user-delegated access; scopes follow resource:permission (e.g. transactions:read, bills:write, accounting:write).
- Change detection
- Signed webhooks (HMAC-SHA256 X-Ramp-Signature) for bill, transaction, reimbursement, vendor, and user events; otherwise poll incrementally (synced_after on transactions, from_created_at on bills) with keyset pagination, or read the audit-logs/events feed.
- Capabilities
- read · write · webhooks
- Rate limits
- 200 requests per 10-second rolling window per source IP; exceeding it returns 429 Too Many Requests, and requests running over 60 seconds return 504. Results use keyset pagination (follow the page.next URL / start cursor); higher limits can be requested from support.
How it works
How to connect Neo4j to Ramp — 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 Ramp 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
Ramp
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Neo4j and Ramp 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 ⇄ RampCustomers 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 RampCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Neo4j and Ramp integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Neo4j and Ramp: 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.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Neo4j and Ramp connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Neo4j–Ramp integration in-house.
-
Yes — Stacksync ships production-grade connectors for both Neo4j and Ramp. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on Neo4j: Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties. On Ramp: Signed webhooks (HMAC-SHA256 X-Ramp-Signature) for bill, transaction, reimbursement, vendor, and user events; otherwise poll incrementally (synced_after on transactions, from_created_at on bills) with keyset pagination, or read the audit-logs/events feed. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Ramp side: Users, Departments, Reimbursements, Bills, plus custom fields where Ramp 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.
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
Every pair below is a real-time, two-way sync. Search all 512 integrations available for Neo4j and Ramp.
Popular · 7 of 512
-
Neo4j ⇄ Anaplan -
Neo4j ⇄ Chargebee -
Neo4j ⇄ Hyperline -
Ramp ⇄ VoltDB -
Ramp ⇄ YugabyteDB -
Ramp ⇄ Amazon DynamoDB -
Ramp ⇄ Reltio
No integrations match .
