Skip to content
Security and identity ⇄ Database

Onelogin to Render Postgres integration — real-time, two-way sync

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.

  • 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 Onelogin and Render Postgres

Close the gap between your application data and your directory: Render Postgres and Onelogin share users, groups, and access in real time, in both directions.

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.

Common use cases

  • 01 Two-way sync CRM or ERP objects into Render Postgres tables so product and ops teams query business data with plain SQL.
  • 02 Capture row-level changes via logical replication and propagate them to a warehouse or another database in near real time.
  • 03 Two-way sync Users between OneLogin and an HRIS or Postgres so new hires, attribute changes, and terminations provision and deprovision SSO accounts automatically.
  • 04 Read the OneLogin Events audit log into a warehouse or SIEM for login analytics, access reviews, and SOC 2 audit evidence.

Common sync patterns

Provision accounts from the source of truth

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.

Deprovision the moment the record changes

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.

Read users and groups as ordinary tables

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.

What you can sync between Onelogin and Render Postgres

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.

How changes propagate between Onelogin and Render Postgres

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.

Onelogin Render Postgres Sub-second propagation

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.

Render Postgres Onelogin Sub-second propagation

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.

Rate-limit considerations

  • Onelogin: Account-level limit of 5,000 API calls per hour shared across all access tokens; responses carry X-RateLimit-Limit, X-RateLimit-Remaining, and X-RateLimit-Reset, over-limit calls return HTTP 429, and the count resets each hour. Paid plans can request an increase.
  • Render Postgres: No API rate limits — throughput is bounded by the instance's plan (CPU, RAM, connection limit); connection pooling is recommended since managed plans cap concurrent connections.
What ships with Onelogin ⇄ Render Postgres

Connect Onelogin and Render Postgres for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Onelogin or Render Postgres 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 Onelogin or Render Postgres record.

Observability

Monitoring

Track your Onelogin ⇄ Render Postgres sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Onelogin and Render Postgres.

How the Onelogin and Render Postgres connectors work

Onelogin

Integration surface
OneLogin API (REST, v1 and v2 resource endpoints on <subdomain>.onelogin.com) plus the Event Webhook (Event Broadcaster) for event delivery
Authentication
OAuth 2.0 client credentials - an admin generates an API credential pair (client_id + client_secret) in the OneLogin portal and exchanges it at POST /auth/oauth2/v2/token for a bearer access token sent on every call; each credential carries a scope (Manage all, Manage users, Read users, etc.) that governs read vs write.
Change detection
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.
Capabilities
read · write · webhooks
Rate limits
Account-level limit of 5,000 API calls per hour shared across all access tokens; responses carry X-RateLimit-Limit, X-RateLimit-Remaining, and X-RateLimit-Reset, over-limit calls return HTTP 429, and the count resets each hour. Paid plans can request an increase.

Render Postgres

Integration surface
PostgreSQL wire protocol (managed Postgres on Render)
Authentication
Standard Postgres connection string — host, port, database, user, password with TLS; Render provides internal and external connection URLs and IP allowlisting
Change detection
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
Capabilities
read · write · CDC
Rate limits
No API rate limits — throughput is bounded by the instance's plan (CPU, RAM, connection limit); connection pooling is recommended since managed plans cap concurrent connections.
How it works

How to connect Onelogin to Render Postgres — 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 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Onelogin connected
    Render Postgres connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Onelogin ⇄ Render Postgres
    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
    Onelogin Render Postgres
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Onelogin and Render Postgres 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.

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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 414 integrations available for Onelogin and Render Postgres.

Popular · 8 of 414
Coworkers laughing in front of a laptop in a casual office setting

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