Real-time
Two-way sync
Changes in Anaplan or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Accounting and finance ⇄ Database
Anaplan to Neo4j integration — real-time, two-way sync
Keep Anaplan 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.
- 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
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Anaplan and Neo4j
Work with Anaplan'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 Line Items, Lists, List Items, Versions from Anaplan into Databases, Users & Roles, Nodes, Relationships 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 Anaplan with validation, so the finance system stays the system of record.
Common use cases
- Load actuals from an ERP or warehouse into Anaplan modules so forecasts start from current financials.
- Sync CRM pipeline data into Anaplan for sales capacity and quota planning.
- Mirror CRM accounts and contacts into a graph to model buying-group and referral relationships.
- Sync product catalog and order history into Neo4j to power recommendation queries.
Write back safely
Updates written to the synced tables in Neo4j propagate into Anaplan, so automations can create or correct finance records without custom integration code.
React to financial events
Changes in Anaplan appear in Neo4j as row changes, so you can trigger downstream logic with the database tooling you already use.
Query finance data like any other data
Customers, invoices, and payments from Anaplan live in Neo4j as regular tables or collections your team can join, index, and query.
What you can sync between Anaplan and Neo4j
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.
| Anaplan objects | Neo4j objects | |
|---|---|---|
| Versions Scenario dimensions (actual, budget, forecast) that scope which slice a sync reads or writes. | Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | |
| Import and Export Actions Predefined data-movement definitions the Bulk API executes. | Relationships Typed, directed edges that carry the connections syncs exist to model. | |
| Processes Ordered bundles of actions run as a unit during scheduled syncs. | Properties Key-value attributes on both nodes and relationships, mapped from source fields. | |
| Cell Data Individual intersections readable and writable through the transactional API. | Labels Node type markers used to map source tables or objects onto the graph. | |
| Models The planning workspaces that contain all data; syncs target a specific model. | Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | |
| Modules Multidimensional grids of line items where plan data lives; the main read/write surface. | Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. |
What ships with Anaplan ⇄ Neo4j
Connect Anaplan and Neo4j for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Anaplan–Neo4j connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Anaplan or Neo4j 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 Anaplan or Neo4j record.
Observability
Monitoring
Track your Anaplan ⇄ Neo4j sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Anaplan and Neo4j.
How the Anaplan and Neo4j connectors work
Anaplan
- Integration surface
- REST APIs: a Bulk API that runs predefined import/export actions and a transactional API for model metadata and cell data
- Authentication
- Token-based sessions obtained via basic authentication, CA certificates, or OAuth 2.0 through Anaplan's authentication service
- Change detection
- Polling and scheduled export actions; the platform does not expose change events
- Capabilities
- read · write
- Rate limits
- Subject to the platform's API rate limits; large data movements are designed to run through bulk actions
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
How it works
How to connect Anaplan to Neo4j — 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 Anaplan 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.
Anaplan
connected
Neo4j
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Anaplan 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.
objects · Anaplan ⇄ Neo4jCustomers 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.
Anaplan Neo4jCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Anaplan and Neo4j integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Anaplan and Neo4j: authenticate both systems, choose the objects to sync (such as Anaplan's Versions and Import and Export Actions), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Anaplan and Neo4j. 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 Anaplan: Polling and scheduled export actions; the platform does not expose change events. 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.
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On the Anaplan side: Line Items, Lists, List Items, Versions, plus custom fields where Anaplan exposes them. On the Neo4j side: Databases, Users & Roles, Nodes, Relationships. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for Anaplan 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 Anaplan, so automations can create or correct finance records without custom integration code.
SECURITY
Security teams love 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 386 integrations available for Anaplan and Neo4j.
Popular · 8 of 386
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Anaplan ⇄ Redis Enterprise -
Anaplan ⇄ SAP ASE (Sybase) -
Anaplan ⇄ Scaleway Postgres -
Anaplan ⇄ TiDB -
Neo4j ⇄ Pigment -
Neo4j ⇄ QuickBooks -
Neo4j ⇄ Stripe -
Neo4j ⇄ Rillet
No integrations match .
