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Security and identity ⇄ Database

Auth0 to Neo4j integration — real-time, two-way sync

Keep Auth0 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 Auth0 and Neo4j

Close the gap between your application data and your directory: Neo4j and Auth0 share users, groups, and access in real time, in both directions.

Auth0 is the system of record for who people are and what they can reach: users, the groups they belong to, and the applications assigned to them. Neo4j holds the operational data those same people show up in, whether an employee or member table that decides who should have an account at all, a customers list, or the rows an application checks before it authorizes an action. The two describe overlapping users and groups, and when a nightly export or a hand-run script is all that connects them, accounts lag joiners and leavers and the application authorizes against a stale picture of who has access.

Stacksync syncs Properties, Labels, Indexes & Constraints, Databases in Neo4j with Resource Servers (APIs), Log Events, Users, Roles in Auth0 field by field, in real time, and in both directions. You decide which system owns which fields, with the directory holding credentials and group membership and the database holding the source list of people who should exist at all, and Stacksync keeps every copy consistent, resolving conflicts by rules you set. A person added to a table becomes an account within seconds, a departure disables one just as fast, and the directory's users and groups are always present in your tables as ordinary rows.

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 Replicate Roles and Resource Server scopes into a database to audit which Users hold which permissions across every Application.
  • 04 Stream Log Events for logins, signups, and failed authentications into a warehouse for security monitoring and authentication funnel reporting.

Common sync patterns

One profile, kept current

A name, department, email, or manager corrected in either system updates the other, so the profile the directory shows and the data the application reads stop drifting apart.

Provision accounts from the source of truth

When a person is added to the employee, member, or customer table in Neo4j, Stacksync creates the matching user in Auth0 with the right attributes, so access starts from live data instead of a manual ticket.

Deprovision the moment the record changes

When someone is marked inactive or removed in Neo4j, the matching account in Auth0 is disabled within seconds, closing the window between a departure and a login that still works.

What you can sync between Auth0 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.

Auth0 objects Neo4j objects How this pairing syncs
Clients (Applications) Registered applications and their metadata under /api/v2/clients; mirrored to a database for app and credential inventories. Users & Roles Security principals controlling what an integration credential can query or modify. Clients (Applications) is specific to Auth0 and Users & Roles to Neo4j — each maps to any object or custom field on the other side.
Resource Servers (APIs) API definitions and their scopes; synced so permission catalogs used for access reviews stay current. Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. Resource Servers (APIs) is specific to Auth0 and Nodes to Neo4j — each maps to any object or custom field on the other side.
Log Events Tenant events (logins, signups, failed logins, admin changes) from /api/v2/logs; read-only, streamed into a warehouse for security analytics. Relationships Typed, directed edges that carry the connections syncs exist to model. Log Events is specific to Auth0 and Relationships to Neo4j — each maps to any object or custom field on the other side.
Users Core identity records with profile fields plus user_metadata and app_metadata; synced two-way (create, update, delete) via /api/v2/users. Credentials are never returned. Properties Key-value attributes on both nodes and relationships, mapped from source fields. Users is specific to Auth0 and Properties to Neo4j — each maps to any object or custom field on the other side.
Roles RBAC role definitions and their permissions; synced with a database to audit which users hold which access, and assigned to Users from either side. Labels Node type markers used to map source tables or objects onto the graph. Roles is specific to Auth0 and Labels to Neo4j — each maps to any object or custom field on the other side.
Organizations B2B customer tenants under /api/v2/organizations; synced two-way with a CRM or customer database to keep account records aligned with Auth0 orgs. Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. Organizations is specific to Auth0 and Indexes & Constraints to Neo4j — each maps to any object or custom field on the other side.

How changes propagate between Auth0 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.

Auth0 Neo4j Sub-second propagation

DetectionAuth0 notifies Stacksync of record changes through webhook events. Event Streams and Log Streams deliver near-real-time user.created/updated/deleted and tenant events to a custom webhook or Amazon EventBridge.

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

Neo4j Auth0 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 Auth0 through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Auth0: Per-tenant limit of about 15 Management API requests/second (bursts to 50) on paid tenants; X-RateLimit-* headers and HTTP 429 signal throttling.
What ships with Auth0 ⇄ Neo4j

Connect Auth0 and Neo4j for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Auth0–Neo4j connection.

Real-time

Two-way sync

Changes in Auth0 or Neo4j instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Auth0 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 Auth0 or Neo4j record.

Observability

Monitoring

Track your Auth0 ⇄ Neo4j sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Auth0 and Neo4j.

How the Auth0 and Neo4j connectors work

Auth0

Integration surface
Management API v2 (REST); Authentication API issues the access token
Authentication
OAuth 2.0 client credentials from a machine-to-machine application; scoped Bearer JWT where each operation needs its own scope (e.g. read:users, create:users, update:users) or returns 403
Change detection
Event Streams and Log Streams deliver near-real-time user.created/updated/deleted and tenant events to a custom webhook or Amazon EventBridge; polling falls back to the Get Users search filtered on updated_at
Capabilities
read · write · webhooks
Rate limits
Per-tenant limit of about 15 Management API requests/second (bursts to 50) on paid tenants; X-RateLimit-* headers and HTTP 429 signal throttling

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 Auth0 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 Auth0 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
    Auth0 connected
    Neo4j connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Auth0 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 · Auth0 ⇄ 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
    Auth0 Neo4j
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Auth0 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.

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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 515 integrations available for Auth0 and Neo4j.

Popular · 8 of 515
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