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Security and identity ⇄ Database

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

Keep Auth0 and Jdbc 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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Why teams connect Auth0 and Jdbc

Close the gap between your application data and your directory: Jdbc 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. Jdbc 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 Schemas & catalogs, Stored procedures & functions, Sequences, Tables in Jdbc 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 Consolidate several databases from different vendors into one relational store by syncing each through its own JDBC driver.
  • 02 Write records from a CRM, ERP, or another app back into database tables via SQL INSERT and UPDATE so the database stays current.
  • 03 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.
  • 04 Provision and deprovision Users and Organization Members from an HRIS or CRM — create accounts and assign Roles on hire, delete on offboarding.

Common sync patterns

Deprovision the moment the record changes

When someone is marked inactive or removed in Jdbc, 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 Jdbc 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 Jdbc

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 Jdbc objects How this pairing syncs
Resource Servers (APIs) API definitions and their scopes; synced so permission catalogs used for access reviews stay current. Schemas & catalogs Namespaces that group tables and views; the connector targets a schema/catalog and lists its objects from the JDBC metadata to build the sync. Resource Servers (APIs) is specific to Auth0 and Schemas & catalogs to Jdbc — 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. Stored procedures & functions Server-side routines callable via JDBC CallableStatement; invoked for custom read or write logic when a table-level mapping is not enough. Log Events is specific to Auth0 and Stored procedures & functions to Jdbc — 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. Sequences Server-generated identity values; relevant when writing rows into tables whose keys are assigned by the database rather than the source system. Users is specific to Auth0 and Sequences to Jdbc — 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. Tables The base relational tables in the target database; synced two-way as rows over SQL, with each table's primary key driving upserts and row-level updates. Roles is specific to Auth0 and Tables to Jdbc — 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. Views Stored SELECT queries exposed like tables; read-only projections synced outbound when raw base tables should not be exposed downstream. Organizations is specific to Auth0 and Views to Jdbc — 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. Columns Per-table fields with data types, nullability, and defaults; enumerated via DatabaseMetaData.getColumns to auto-generate and type-check field mappings. Organization Members is specific to Auth0 and Columns to Jdbc — each maps to any object or custom field on the other side.

How changes propagate between Auth0 and Jdbc

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 Jdbc 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 Jdbc as a row-level write, with types converted between the two schemas.

Jdbc Auth0 Interval-based propagation

DetectionStacksync polls Jdbc for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.

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.
  • Jdbc: No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
What ships with Auth0 ⇄ Jdbc

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Auth0 or Jdbc 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 Jdbc record.

Observability

Monitoring

Track your Auth0 ⇄ Jdbc 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 Jdbc.

How the Auth0 and Jdbc 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

Jdbc

Integration surface
JDBC API (java.sql / javax.sql) executing SQL through a JDBC driver, typically a pure-Java Type 4 driver; reaches any relational database with a driver - PostgreSQL, MySQL, SQL Server, Oracle, IBM DB2, and others - via a JDBC URL such as jdbc:postgresql://host:5432/db.
Authentication
A database user's username and password supplied in the JDBC connection (DriverManager or a DataSource), typically over a TLS/SSL-encrypted connection. Some drivers add Kerberos, integrated Windows auth, or cloud IAM-token auth, but the available methods depend on the target database and its driver.
Change detection
No native change feed. Incremental sync polls a cursor column - an updated_at timestamp or an auto-incrementing key - to pull new and changed rows; detecting deletes needs soft-delete flags or database triggers writing to a shadow table. No webhooks.
Capabilities
read · write
Rate limits
No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
How it works

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

    Choose tables

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

Auth0 and Jdbc 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

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