Two-way sync
Changes in Auth0 or Citus instantly reflect in both systems. No stale data, no manual imports.
Keep Auth0 and Citus in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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. Citus 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 Local tables, Schemas, Views, Sequences in Citus 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.
Users, groups, and their memberships from Auth0 land in Citus as rows your application and queries can join, so authorization checks and access reporting run against the database instead of the directory API.
A group or role change made in either system updates the other, so the entitlements an application enforces match what the directory grants.
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.
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 | Citus 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. | Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Organizations is specific to Auth0 and Reference tables to Citus — 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. | Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Organization Members is specific to Auth0 and Local tables to Citus — 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. | Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | Connections is specific to Auth0 and Schemas to Citus — 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 Curated projections over distributed data, often used as read-only sync sources. | Clients (Applications) is specific to Auth0 and Views to Citus — 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. | Sequences Key generators that matter when external writes must not collide with application inserts. | Resource Servers (APIs) is specific to Auth0 and Sequences to Citus — 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. | Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | Log Events is specific to Auth0 and Distributed tables to Citus — each maps to any object or custom field on the other side. |
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.
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 Citus as a row-level write, with types converted between the two schemas.
DetectionChanges in Citus are captured at the source via change data capture — no polling loop against its API. PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres.
DeliveryEach detected change is written to Auth0 through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Auth0–Citus connection.
Changes in Auth0 or Citus instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Auth0 or Citus data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Auth0 or Citus record.
Track your Auth0 ⇄ Citus sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Auth0 and Citus.
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.
Authenticate Auth0 and Citus with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Auth0 and Citus 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Auth0 and Citus: authenticate both systems, choose the objects to sync (such as Auth0's Organizations and Organization Members), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Auth0 and Citus connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Auth0–Citus integration in-house.
Yes — Stacksync ships production-grade connectors for both Auth0 and Citus. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Auth0: 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. On Citus: PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Citus side: Local tables, Schemas, Views, Sequences, plus custom fields where Citus exposes them. On the Auth0 side: Organization Members, Connections, Clients (Applications), Resource Servers (APIs). Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 430 integrations available for Auth0 and Citus.