Skip to content
Security and identity ⇄ Database

Auth0 to AWS Aurora MySQL integration — real-time, two-way sync

Keep Auth0 and AWS Aurora MySQL 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

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Auth0 and AWS Aurora MySQL

Close the gap between your application data and your directory: AWS Aurora MySQL 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. AWS Aurora MySQL 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 Tables, Rows, Columns, Primary keys and indexes in AWS Aurora MySQL with Organization Members, Connections, Clients (Applications), Resource Servers (APIs) 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 Give backend services read and write access to ERP or billing data by syncing it into Aurora tables the application already queries.
  • 02 Stream row changes from Aurora into SaaS tools via binlog CDC instead of scheduled batch exports.
  • 03 Stream Log Events for logins, signups, and failed authentications into a warehouse for security monitoring and authentication funnel reporting.
  • 04 Sync Organizations and their Connections into a customer database so B2B account records stay aligned with Auth0 tenants.

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 AWS Aurora MySQL, 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 AWS Aurora MySQL, 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 AWS Aurora MySQL

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 AWS Aurora MySQL objects How this pairing syncs
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. Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. Organizations is specific to Auth0 and Tables to AWS Aurora MySQL — 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. Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Organization Members is specific to Auth0 and Rows to AWS Aurora MySQL — 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. Columns MySQL data types are mapped to the paired system's field types during schema setup. Connections is specific to Auth0 and Columns to AWS Aurora MySQL — 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. Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. Clients (Applications) is specific to Auth0 and Primary keys and indexes to AWS Aurora MySQL — 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. Views Can serve as read-only sync sources for derived or filtered datasets. Resource Servers (APIs) is specific to Auth0 and Views to AWS Aurora MySQL — 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. Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. Log Events is specific to Auth0 and Foreign keys to AWS Aurora MySQL — each maps to any object or custom field on the other side.

How changes propagate between Auth0 and AWS Aurora MySQL

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 AWS Aurora MySQL 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 AWS Aurora MySQL as a row-level write, with types converted between the two schemas.

AWS Aurora MySQL Auth0 Sub-second propagation

DetectionChanges in AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback.

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 ⇄ AWS Aurora MySQL

Connect Auth0 and AWS Aurora MySQL for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Auth0 or AWS Aurora MySQL 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 AWS Aurora MySQL record.

Observability

Monitoring

Track your Auth0 ⇄ AWS Aurora MySQL 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 AWS Aurora MySQL.

How the Auth0 and AWS Aurora MySQL 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

AWS Aurora MySQL

Integration surface
SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback
Capabilities
read · write · CDC
How it works

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

    Choose tables

    Pick the Auth0 and AWS Aurora MySQL 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 ⇄ AWS Aurora MySQL
    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 AWS Aurora MySQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Auth0 and AWS Aurora MySQL 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
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 448 integrations available for Auth0 and AWS Aurora MySQL.

Popular · 8 of 448
All Auth0 integrations All AWS Aurora MySQL integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own