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Security and identity ⇄ Database

Auth0 to Postgres Heroku integration — real-time, two-way sync

Keep Auth0 and Postgres Heroku 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 Postgres Heroku

Close the gap between your application data and your directory: Postgres Heroku 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. Postgres Heroku 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 Sequences, Follower Databases, Tables, Views in Postgres Heroku 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 Reflect billing and subscription records into the app database so product logic reads local rows
  • 02 Expose CRM objects as Postgres tables the Heroku application can query and join directly
  • 03 Provision and deprovision Users and Organization Members from an HRIS or CRM — create accounts and assign Roles on hire, delete on offboarding.
  • 04 Replicate Roles and Resource Server scopes into a database to audit which Users hold which permissions across every Application.

Common sync patterns

Provision accounts from the source of truth

When a person is added to the employee, member, or customer table in Postgres Heroku, 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 Postgres Heroku, 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 Postgres Heroku as rows your application and queries can join, so authorization checks and access reporting run against the database instead of the directory API.

What you can sync between Auth0 and Postgres Heroku

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 Postgres Heroku 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. Primary and Unique Keys Match keys for idempotent upserts from connected systems. Users is specific to Auth0 and Primary and Unique Keys to Postgres Heroku — 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. JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. Roles is specific to Auth0 and JSONB Columns to Postgres Heroku — 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. Sequences Generate surrogate keys for rows created by inbound syncs. Organizations is specific to Auth0 and Sequences to Postgres Heroku — 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. Follower Databases Heroku-managed read replicas usable as low-impact sync sources. Organization Members is specific to Auth0 and Follower Databases to Postgres Heroku — 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 Standard Postgres tables; the primary two-way sync target for app data. Connections is specific to Auth0 and Tables to Postgres Heroku — 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 Read-side projections exposed to outbound syncs. Clients (Applications) is specific to Auth0 and Views to Postgres Heroku — each maps to any object or custom field on the other side.

How changes propagate between Auth0 and Postgres Heroku

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

Postgres Heroku Auth0 Interval-based propagation

DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.

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.
  • Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with Auth0 ⇄ Postgres Heroku

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Auth0 or Postgres Heroku 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 Postgres Heroku record.

Observability

Monitoring

Track your Auth0 ⇄ Postgres Heroku 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 Postgres Heroku.

How the Auth0 and Postgres Heroku 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

Postgres Heroku

Integration surface
SQL wire protocol (standard PostgreSQL)
Authentication
Database credentials from the Heroku DATABASE_URL config var; SSL required
Change detection
Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
Capabilities
read · write
Rate limits
No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works

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

    Choose tables

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

Auth0 and Postgres Heroku 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 446 integrations available for Auth0 and Postgres Heroku.

Popular · 8 of 446
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