Real-time
Two-way sync
Changes in Microsoft Graph or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Developer tools ⇄ Database
Microsoft Graph to Neo4j integration — real-time, two-way sync
Keep Microsoft Graph 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.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Microsoft Graph and Neo4j
Keep Neo4j and Microsoft Graph in step: the rows in your database and the Contacts, Drive items (OneDrive & SharePoint), Teams messages and chats, Planner tasks your engineering tools track stay consistent in real time, in both directions.
Neo4j is where your application's durable data lives; Microsoft Graph is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.
Stacksync syncs Properties, Labels, Indexes & Constraints, Databases in Neo4j with Contacts, Drive items (OneDrive & SharePoint), Teams messages and chats, Planner tasks in Microsoft Graph field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.
Common use cases
- 01 Keep a customer-360 graph continuously updated from ERP, CRM, and support sources.
- 02 Mirror CRM accounts and contacts into a graph to model buying-group and referral relationships.
- 03 Mirror OneDrive and SharePoint drive items into a data store to index documents and their metadata for search and governance.
- 04 Read Teams channel messages and chats into a warehouse for conversation analytics and compliance archiving, and post messages back for alerts.
Common sync patterns
One integration pattern instead of per-tool API code
Read and write the synced tables in Neo4j and Stacksync keeps Microsoft Graph current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
React to changes on either side in near real time
Updates in Microsoft Graph arrive as row changes in Neo4j, and writes to Neo4j propagate to Microsoft Graph within seconds, so triggers, jobs, and alerts fire without polling.
Where Microsoft Graph manages users or groups: keep identity aligned
Directory and identity records in Microsoft Graph stay matched to the users or owners table in Neo4j, so provisioning and de-provisioning flow from one source.
What you can sync between Microsoft Graph 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 Graph objects | Neo4j objects | How this pairing syncs | |
|---|---|---|---|
| Groups and memberships Microsoft 365 and security groups via /groups; read and write name, owners, and add/remove members, with membership deltas surfaced by delta query. | Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Groups and memberships is specific to Microsoft Graph and Databases to Neo4j — each maps to any object or custom field on the other side. | |
| Mail messages (Outlook) Messages via /users/{id}/messages; read and create drafts, update, and send with the sendMail action, so this surface is fully read-write. | Users & Roles Security principals controlling what an integration credential can query or modify. | Mail messages (Outlook) is specific to Microsoft Graph and Users & Roles to Neo4j — each maps to any object or custom field on the other side. | |
| Calendar events Outlook events via /users/{id}/events; read and write meetings, attendees, and recurrence, and accept or decline invitations. | Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Calendar events is specific to Microsoft Graph and Nodes to Neo4j — each maps to any object or custom field on the other side. | |
| Contacts Personal Outlook contacts via /users/{id}/contacts; full create, read, update, delete, synced two-way with CRM person records. | Relationships Typed, directed edges that carry the connections syncs exist to model. | Contacts is specific to Microsoft Graph and Relationships to Neo4j — each maps to any object or custom field on the other side. | |
| Drive items (OneDrive & SharePoint) Files and folders via /drives and /me/drive; read and write items, upload and download content, and read per-item metadata. | Properties Key-value attributes on both nodes and relationships, mapped from source fields. | Drive items (OneDrive & SharePoint) is specific to Microsoft Graph and Properties to Neo4j — each maps to any object or custom field on the other side. | |
| Teams messages and chats Channel messages and chats via /teams/{id}/channels and /chats; read message history and post new messages for alerts and archiving. | Labels Node type markers used to map source tables or objects onto the graph. | Teams messages and chats is specific to Microsoft Graph and Labels to Neo4j — each maps to any object or custom field on the other side. |
How changes propagate between Microsoft Graph and Neo4j
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.
Microsoft Graph Neo4j Sub-second propagation
DetectionMicrosoft Graph notifies Stacksync of record changes through webhook events. Delta query (change tracking) returns created, updated, and deleted items since the last deltaLink for users, groups, mail, events, contacts, and.
DeliveryEach detected change is written to Neo4j through its API, with automatic retries and rate-limit backoff.
Neo4j Microsoft Graph 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 Microsoft Graph through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Microsoft Graph: Throttled per app and per tenant, returning HTTP 429 with a Retry-After header; limits vary by service — the Outlook mail service allows about 10,000 requests per 10 minutes per app per mailbox with up to 4 concurrent requests, and delta and subscription tokens expire and must be renewed.
What ships with Microsoft Graph ⇄ Neo4j
Connect Microsoft Graph and Neo4j for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Microsoft Graph–Neo4j connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Microsoft Graph 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 Graph or Neo4j record.
Observability
Monitoring
Track your Microsoft Graph ⇄ 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 Graph and Neo4j.
How the Microsoft Graph and Neo4j connectors work
Microsoft Graph
- Integration surface
- Microsoft Graph unified REST API (v1.0 and beta) at graph.microsoft.com, spanning Microsoft 365 services — Entra ID, Outlook mail and calendar, OneDrive and SharePoint, Teams, and Planner; supports JSON $batch (up to 20 requests per call).
- Authentication
- OAuth 2.0 via the Microsoft identity platform (Microsoft Entra ID). An app registration holds delegated or application (app-only) scopes such as Mail.ReadWrite, Calendars.ReadWrite, Files.ReadWrite.All, User.ReadWrite.All, and Group.ReadWrite.All; application permissions require tenant admin consent.
- Change detection
- Delta query (change tracking) returns created, updated, and deleted items since the last deltaLink for users, groups, mail, events, contacts, and driveItems; change-notification subscriptions (webhooks) POST near-real-time notifications to a notification URL and must be renewed before they expire.
- Capabilities
- read · write · webhooks
- Rate limits
- Throttled per app and per tenant, returning HTTP 429 with a Retry-After header; limits vary by service — the Outlook mail service allows about 10,000 requests per 10 minutes per app per mailbox with up to 4 concurrent requests, and delta and subscription tokens expire and must be renewed.
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 Graph 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 Graph 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 Graph
connected
Neo4j
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Microsoft Graph 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 Graph ⇄ 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 Graph Neo4jCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Microsoft Graph and Neo4j integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Microsoft Graph and Neo4j: authenticate both systems, choose the objects to sync (such as Microsoft Graph's Groups and memberships and Mail messages (Outlook)), 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 Graph 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 Graph: Delta query (change tracking) returns created, updated, and deleted items since the last deltaLink for users, groups, mail, events, contacts, and driveItems; change-notification subscriptions (webhooks) POST near-real-time notifications to a notification URL and must be renewed before they expire. 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 Neo4j side: Properties, Labels, Indexes & Constraints, Databases, plus custom fields where Neo4j exposes them. On the Microsoft Graph side: Contacts, Drive items (OneDrive & SharePoint), Teams messages and chats, Planner tasks. 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 Graph and Neo4j: One integration pattern instead of per-tool API code; React to changes on either side in near real time; Where Microsoft Graph manages users or groups: keep identity aligned. Read and write the synced tables in Neo4j and Stacksync keeps Microsoft Graph current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
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
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 329 integrations available for Microsoft Graph and Neo4j.
Popular · 7 of 329
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Microsoft Graph ⇄ Supabase -
Microsoft Graph ⇄ MySQL -
Microsoft Graph ⇄ SQL Server -
Neo4j ⇄ PagerDuty -
Neo4j ⇄ Jira -
Neo4j ⇄ Rabbitmq -
Neo4j ⇄ Azure Service Bus
No integrations match .
