Real-time
Two-way sync
Changes in Microsoft Dynamics 365 or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Microsoft Dynamics 365 to Neo4j integration — real-time, two-way sync
Keep Microsoft Dynamics 365 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
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Migrated from Mulesoft
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Microsoft Dynamics 365 and Neo4j
Mirror Microsoft Dynamics 365's data into Neo4j so your own code can read and write it like any other table, with changes flowing both ways in seconds.
Engineers integrate with tools like Microsoft Dynamics 365 through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Neo4j.
Stacksync mirrors Products, Activities, Custom Tables, Accounts from Microsoft Dynamics 365 into Users & Roles, Nodes, Relationships, Properties in Neo4j and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Microsoft Dynamics 365, so the tool and the database never disagree.
Common use cases
- Sync cases with external ticketing or product systems so support works one queue.
- Replicate standard and custom Dataverse tables into a warehouse for reporting.
- Sync product catalog and order history into Neo4j to power recommendation queries.
- Feed identity and access data into a graph for entitlement and blast-radius analysis.
Automate Microsoft Dynamics 365 from your codebase
Write to the synced tables in Neo4j and Stacksync propagates the change into Microsoft Dynamics 365, replacing custom integration code.
React to changes as they happen
Updates in Microsoft Dynamics 365 arrive as row changes in Neo4j, so triggers, jobs, and services can respond in near real time.
One integration pattern for the whole stack
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
What you can sync between Microsoft Dynamics 365 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.
| Microsoft Dynamics 365 objects | Neo4j objects | |
|---|---|---|
| Accounts Company records synced bi-directionally with ERPs, databases, and billing systems. | Labels Node type markers used to map source tables or objects onto the graph. | |
| Contacts Person records kept consistent with marketing, support, and data-warehouse copies. | Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | |
| Leads Inbound records enriched and routed from external sources into sales queues. | Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | |
| Opportunities Pipeline records synced with forecasting, CPQ, and billing systems. | Users & Roles Security principals controlling what an integration credential can query or modify. | |
| Cases (Incidents) Support records shared with ticketing tools and product databases. | Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | |
| Quotes, Orders & Invoices Transaction documents reconciled with the ERP or billing source of truth. | Relationships Typed, directed edges that carry the connections syncs exist to model. |
What ships with Microsoft Dynamics 365 ⇄ Neo4j
Connect Microsoft Dynamics 365 and Neo4j for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Microsoft Dynamics 365–Neo4j connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Microsoft Dynamics 365 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 Microsoft Dynamics 365 or Neo4j record.
Observability
Monitoring
Track your Microsoft Dynamics 365 ⇄ Neo4j sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Microsoft Dynamics 365 and Neo4j.
How the Microsoft Dynamics 365 and Neo4j connectors work
Microsoft Dynamics 365
- Integration surface
- REST API (Dataverse Web API, OData v4); Finance & Operations apps expose a separate OData data-entity surface
- Authentication
- Microsoft OAuth sign-in: user provides the D365 environment URL, signs in with Microsoft credentials, and accepts the Stacksync app (permissions to read CRM data and interact with OData entities)
- Change detection
- Change data capture (CDC) via the Dynamics 365 Change Tracking feature; standard entities have change tracking enabled by default, custom entities require enabling "Track Changes" in Power Apps/Dataverse table properties
- Capabilities
- read · write · CDC · webhooks
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 Microsoft Dynamics 365 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 Microsoft Dynamics 365 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.
Microsoft Dynamics 365
connected
Neo4j
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Microsoft Dynamics 365 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 · Microsoft Dynamics 365 ⇄ 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.
Microsoft Dynamics 365 Neo4jCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Microsoft Dynamics 365 and Neo4j integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Microsoft Dynamics 365 and Neo4j: authenticate both systems, choose the objects to sync (such as Microsoft Dynamics 365's Accounts and Contacts), 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 Microsoft Dynamics 365 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 Microsoft Dynamics 365: Change data capture (CDC) via the Dynamics 365 Change Tracking feature; standard entities have change tracking enabled by default, custom entities require enabling "Track Changes" in Power Apps/Dataverse table properties. 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 Microsoft Dynamics 365 side: Products, Activities, Custom Tables, Accounts, plus custom fields where Microsoft Dynamics 365 exposes them. On the Neo4j side: Users & Roles, Nodes, Relationships, Properties. 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 Microsoft Dynamics 365 and Neo4j: Automate Microsoft Dynamics 365 from your codebase; React to changes as they happen; One integration pattern for the whole stack. Write to the synced tables in Neo4j and Stacksync propagates the change into Microsoft Dynamics 365, replacing 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 Microsoft Dynamics 365 and Neo4j.
Popular · 8 of 386
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Microsoft Dynamics 365 ⇄ IBM AS/400 -
Microsoft Dynamics 365 ⇄ IBM Informix -
Microsoft Dynamics 365 ⇄ InfluxDB -
Microsoft Dynamics 365 ⇄ InterSystems IRIS -
Neo4j ⇄ Orderful -
Neo4j ⇄ Resend - Neo4j ⇄ ServiceNow
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Neo4j ⇄ Slack
No integrations match .
