Two-way sync
Changes in Onelogin or Render Postgres instantly reflect in both systems. No stale data, no manual imports.
Keep Onelogin and Render Postgres in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Onelogin 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. Render Postgres 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 Views, Materialized Views, Schemas, Columns and Types in Render Postgres with Apps (app instances), Groups, Mappings (mapping rules), Events in Onelogin 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.
When a person is added to the employee, member, or customer table in Render Postgres, Stacksync creates the matching user in Onelogin with the right attributes, so access starts from live data instead of a manual ticket.
When someone is marked inactive or removed in Render Postgres, the matching account in Onelogin is disabled within seconds, closing the window between a departure and a login that still works.
Users, groups, and their memberships from Onelogin land in Render Postgres as rows your application and queries can join, so authorization checks and access reporting run against the database instead of the directory API.
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.
| Onelogin objects | Render Postgres objects | How this pairing syncs | |
|---|---|---|---|
| Users User accounts (email, username, custom attributes, status, roles); full CRUD via the v2 Users API - create, update, delete, set password, lock/unlock, and add or remove role assignments. | Materialized Views Precomputed query results refreshed on demand; read for fast reporting tables that downstream systems can consume. | Users is specific to Onelogin and Materialized Views to Render Postgres — each maps to any object or custom field on the other side. | |
| Roles Roles that bundle app access; created, updated, and deleted via the Roles API, with users, admins, and apps assigned to each role. | Schemas Namespaces that organize tables per app or environment; sync targets are scoped per schema to keep synced data isolated and tidy. | Roles is specific to Onelogin and Schemas to Render Postgres — each maps to any object or custom field on the other side. | |
| Apps (app instances) Connected SAML/OIDC application configs on the account; create, update, delete, and assign to users and roles - the writable app catalog. | Columns and Types Full Postgres type system including JSONB and arrays; field mappings preserve native types instead of flattening to strings. | Apps (app instances) is specific to Onelogin and Columns and Types to Render Postgres — each maps to any object or custom field on the other side. | |
| Groups Account groups used for mapping and reporting; listed and read through the API, which has no create or update endpoint, so groups are read-only. | Indexes and Constraints Primary keys, unique constraints, and foreign keys; unique keys drive idempotent upserts and conflict resolution during sync. | Groups is specific to Onelogin and Indexes and Constraints to Render Postgres — each maps to any object or custom field on the other side. | |
| Mappings (mapping rules) Attribute-driven rules that assign roles and app access; full CRUD via the Mappings API, then reapplied across matching users. | Tables Relational tables with full column typing; synced two-way with CRMs, ERPs, and SaaS apps so application data is queryable as plain Postgres rows. | Mappings (mapping rules) is specific to Onelogin and Tables to Render Postgres — each maps to any object or custom field on the other side. | |
| Events Audit log of every authentication and admin action; read-only, filtered by since/until, and pushed live through the Event Webhook. | Views Saved queries exposed as read-only relations; read out to BI tools or downstream syncs without duplicating transformation logic. | Events is specific to Onelogin and Views to Render Postgres — 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.
DetectionOnelogin notifies Stacksync of record changes through webhook events. Event Webhook (Event Broadcaster) posts batches of Event objects to a registered endpoint in near real time.
DeliveryEach detected change is applied to Render Postgres as a row-level write, with types converted between the two schemas.
DetectionChanges in Render Postgres are captured at the source via change data capture — no polling loop against its API. Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the.
DeliveryEach detected change is written to Onelogin through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Onelogin–Render Postgres connection.
Changes in Onelogin or Render Postgres instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Onelogin or Render Postgres data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Onelogin or Render Postgres record.
Track your Onelogin ⇄ Render Postgres sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Onelogin and Render Postgres.
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 Onelogin and Render Postgres 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 Onelogin and Render Postgres 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 Onelogin and Render Postgres: authenticate both systems, choose the objects to sync (such as Onelogin's Users and Roles), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Onelogin and Render Postgres. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Onelogin: Event Webhook (Event Broadcaster) posts batches of Event objects to a registered endpoint in near real time; the Events API also supports polling with since/until time filters and pagination for historical backfill. On Render Postgres: Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Render Postgres side: Views, Materialized Views, Schemas, Columns and Types, plus custom fields where Render Postgres exposes them. On the Onelogin side: Apps (app instances), Groups, Mappings (mapping rules), Events. 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.
Common patterns for Onelogin and Render Postgres: Provision accounts from the source of truth; Deprovision the moment the record changes; Read users and groups as ordinary tables. When a person is added to the employee, member, or customer table in Render Postgres, Stacksync creates the matching user in Onelogin with the right attributes, so access starts from live data instead of a manual ticket.
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.
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Every pair below is a real-time, two-way sync. Search all 414 integrations available for Onelogin and Render Postgres.