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Security and identity ⇄ Database

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

Keep Auth0 and DuckDB 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 DuckDB

Close the gap between your application data and your directory: DuckDB 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. DuckDB 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 Attached databases, Database files, Schemas, Tables in DuckDB with Users, Roles, Organizations, Organization Members 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 Push aggregates computed in DuckDB out to a CRM or business tools so analysis results reach operational systems.
  • 02 Use DuckDB as a transform step: read synced Parquet exports, aggregate with SQL, and write results back to an operational database.
  • 03 Sync Organizations and their Connections into a customer database so B2B account records stay aligned with Auth0 tenants.
  • 04 Two-way sync of Users, including user_metadata and app_metadata, with a Postgres database so internal tools read and update profiles in SQL while Auth0 stays the login source of truth.

Common sync patterns

Deprovision the moment the record changes

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

Read users and groups as ordinary tables

Users, groups, and their memberships from Auth0 land in DuckDB as rows your application and queries can join, so authorization checks and access reporting run against the database instead of the directory API.

Keep group and role membership aligned

A group or role change made in either system updates the other, so the entitlements an application enforces match what the directory grants.

What you can sync between Auth0 and DuckDB

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 DuckDB objects How this pairing syncs
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. External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format. Users is specific to Auth0 and External files (Parquet/CSV/JSON) to DuckDB — 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. Attached databases Additional database files or external systems attached into one session for cross-source queries. Roles is specific to Auth0 and Attached databases to DuckDB — 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. Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage. Organizations is specific to Auth0 and Database files to DuckDB — each maps to any object or custom field on the other side.
Organization Members Membership records linking Users to Organizations with roles; written to provision and deprovision access as accounts change. Schemas Namespaces within a database used to organize tables in sync outputs. Organization Members is specific to Auth0 and Schemas to DuckDB — each maps to any object or custom field on the other side.
Connections Identity-provider configs (database, social, enterprise SAML/OIDC); typically read out to inventory how each tenant authenticates. Tables Columnar tables created via SQL; the destination for materialized sync data. Connections is specific to Auth0 and Tables to DuckDB — each maps to any object or custom field on the other side.
Clients (Applications) Registered applications and their metadata under /api/v2/clients; mirrored to a database for app and credential inventories. Views SQL views used to shape or filter data for downstream consumers. Clients (Applications) is specific to Auth0 and Views to DuckDB — each maps to any object or custom field on the other side.

How changes propagate between Auth0 and DuckDB

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 DuckDB 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 applied to DuckDB as a row-level write, with types converted between the two schemas.

DuckDB Auth0 Interval-based propagation

DetectionStacksync polls DuckDB for changes on an incremental schedule, reading only records changed since the previous pass. Polling or full re-reads.

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.
  • DuckDB: No API rate limits; throughput is bounded by local compute and I/O.
What ships with Auth0 ⇄ DuckDB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Auth0 or DuckDB 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 DuckDB record.

Observability

Monitoring

Track your Auth0 ⇄ DuckDB 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 DuckDB.

How the Auth0 and DuckDB 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

DuckDB

Integration surface
In-process SQL engine via client libraries (Python, Node.js, JDBC, CLI); no server or network API by default
Authentication
None built in; access control is file-system level (MotherDuck adds token auth for its hosted service)
Change detection
Polling or full re-reads; no change feed or transaction log API
Capabilities
read · write
Rate limits
No API rate limits; throughput is bounded by local compute and I/O
How it works

How to connect Auth0 to DuckDB — 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 DuckDB 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
    DuckDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Auth0 and DuckDB 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.

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 446 integrations available for Auth0 and DuckDB.

Popular · 8 of 446
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