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Business productivity ⇄ Database

Monday to Neo4j integration — real-time, two-way sync

Keep Monday 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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Why teams connect Monday and Neo4j

Mirror Monday'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 Monday 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 Subitems, Column values, Groups, Updates from Monday into Properties, Labels, Indexes & Constraints, Databases 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 Monday, so the tool and the database never disagree.

Common use cases

  • 01 Push support tickets or orders from an operational database into monday.com Items, then read status Column values back when work completes.
  • 02 Sync Updates and status changes from monday.com into a database so downstream tools and dashboards react to project progress in near real time.
  • 03 Sync product catalog and order history into Neo4j to power recommendation queries.
  • 04 Feed identity and access data into a graph for entitlement and blast-radius analysis.

Common sync patterns

Automate Monday from your codebase

Write to the synced tables in Neo4j and Stacksync propagates the change into Monday, replacing custom integration code.

React to changes as they happen

Updates in Monday 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 Monday 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.

Monday objects Neo4j objects How this pairing syncs
Boards Table-like containers that hold items; each board maps to a synced table, and its columns define the field mapping. Users & Roles Security principals controlling what an integration credential can query or modify. Boards is specific to Monday and Users & Roles to Neo4j — each maps to any object or custom field on the other side.
Items Rows within a board and the primary record; synced two-way and created, updated, archived, or deleted via GraphQL mutations. Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. Items is specific to Monday and Nodes to Neo4j — each maps to any object or custom field on the other side.
Subitems Nested rows under items, stored on a separate hidden board; synced as a child table linked to the parent item. Relationships Typed, directed edges that carry the connections syncs exist to model. Subitems is specific to Monday and Relationships to Neo4j — each maps to any object or custom field on the other side.
Column values Typed fields (status, date, people, numbers, connect-boards); polymorphic JSON usually written together via change_multiple_column_values. Properties Key-value attributes on both nodes and relationships, mapped from source fields. Column values is specific to Monday and Properties to Neo4j — each maps to any object or custom field on the other side.
Groups Named sections that group items inside a board; synced as a grouping attribute or category field on the row. Labels Node type markers used to map source tables or objects onto the graph. Groups is specific to Monday and Labels to Neo4j — each maps to any object or custom field on the other side.
Updates Comment and activity threads attached to items; read out into a database for reporting or written back as notes. Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. Updates is specific to Monday and Indexes & Constraints to Neo4j — each maps to any object or custom field on the other side.

How changes propagate between Monday 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.

Monday Neo4j Sub-second propagation

DetectionMonday notifies Stacksync of record changes through webhook events. Board-scoped webhooks (create_item, change_column_value, item_deleted, and similar) for real-time events.

DeliveryEach detected change is written to Neo4j through its API, with automatic retries and rate-limit backoff.

Neo4j Monday 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 Monday through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Monday: Complexity-budget limits: a single query caps at 5M complexity points and ~10M points/min per user token (1M on trial/free) over a sliding 60s window.
What ships with Monday ⇄ Neo4j

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Monday 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 Monday or Neo4j record.

Observability

Monitoring

Track your Monday ⇄ Neo4j sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Monday and Neo4j.

How the Monday and Neo4j connectors work

Monday

Integration surface
GraphQL API (single endpoint, api.monday.com/v2)
Authentication
OAuth 2.0 for installed apps, or a per-user personal API token (admin/member scope); a date-based API version is sent via request header
Change detection
Board-scoped webhooks (create_item, change_column_value, item_deleted, and similar) for real-time events; polling falls back to the item updated_at field
Capabilities
read · write · webhooks
Rate limits
Complexity-budget limits: a single query caps at 5M complexity points and ~10M points/min per user token (1M on trial/free) over a sliding 60s window
Monday setup guide

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 Monday 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 Monday 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
    Monday connected
    Neo4j connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Monday 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 · Monday ⇄ 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
    Monday Neo4j
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Monday and Neo4j integration FAQ

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.

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 522 integrations available for Monday and Neo4j.

Popular · 7 of 522
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