Skip to content
Business productivity ⇄ Database

Microsoft Teams to Neo4j integration — real-time, two-way sync

Keep Microsoft Teams 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
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 Microsoft Teams and Neo4j

Mirror Microsoft Teams'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 Teams 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 Team Members & Users, Online Meetings, Tabs & Installed Apps, Teams from Microsoft Teams into Indexes & Constraints, Databases, Users & Roles, Nodes 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 Teams, so the tool and the database never disagree.

Common use cases

  • Route support case updates from the CRM into a triage channel for faster response.
  • Archive channel messages into a warehouse for compliance and communication analytics.
  • 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.

React to changes as they happen

Updates in Microsoft Teams 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.

Read Microsoft Teams with a query

Records from Microsoft Teams are ordinary rows in Neo4j; join them, index them, and use them in application logic without touching the vendor API.

What you can sync between Microsoft Teams 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 Teams objects Neo4j objects
Tabs & Installed Apps App configuration read to audit or provision team workspaces. Users & Roles Security principals controlling what an integration credential can query or modify.
Teams Team containers provisioned or read to mirror org and project structure. Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes.
Channels Channel targets used for routing synced notifications and updates. Relationships Typed, directed edges that carry the connections syncs exist to model.
Channel Messages Posted messages read for archiving or written to broadcast record changes. Properties Key-value attributes on both nodes and relationships, mapped from source fields.
Chats & Chat Messages 1:1 and group chat content read under protected-API access for compliance use. Labels Node type markers used to map source tables or objects onto the graph.
Team Members & Users Membership synced with identity, HR, or CRM ownership data. Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast.
What ships with Microsoft Teams ⇄ Neo4j

Connect Microsoft Teams and Neo4j for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Microsoft Teams–Neo4j connection.

Real-time

Two-way sync

Changes in Microsoft Teams or Neo4j instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Microsoft Teams 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 Teams or Neo4j record.

Observability

Monitoring

Track your Microsoft Teams ⇄ 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 Teams and Neo4j.

How the Microsoft Teams and Neo4j connectors work

Microsoft Teams

Integration surface
REST API (Microsoft Graph)
Authentication
OAuth 2.0 via Microsoft Entra ID; reading message content at scale requires Microsoft-approved protected-API access
Change detection
Graph change notifications (webhooks) for messages and membership; delta queries on some resources
Capabilities
read · write · 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 Teams 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.

  1. 01

    Connect your apps

    Authenticate Microsoft Teams 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Microsoft Teams connected
    Neo4j connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Microsoft Teams 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Microsoft Teams ⇄ Neo4j
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Microsoft Teams Neo4j
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Microsoft Teams and Neo4j integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Microsoft Teams and Neo4j.

Popular · 8 of 386
All Microsoft Teams integrations All Neo4j integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own