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Security and identity ⇄ Database

Onelogin to PostgreSQL integration — real-time, two-way sync

Keep Onelogin and PostgreSQL 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 Onelogin and PostgreSQL

Close the gap between your application data and your directory: PostgreSQL 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. PostgreSQL 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, Custom Types and Enums, Tables, Views in PostgreSQL with Mappings (mapping rules), Events, Authentication factors (MFA), Custom user fields 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 Expose SaaS objects (CRM contacts, ERP invoices, support tickets) as Postgres tables that internal tools can query and join
  • 02 Let an application write to its own database and have those rows appear as records in business systems 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 PostgreSQL, 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 PostgreSQL, 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 PostgreSQL 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 PostgreSQL

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 PostgreSQL objects How this pairing syncs
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. Views Read-side projections used to expose joined or filtered data to a sync. Groups is specific to Onelogin and Views to PostgreSQL — 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. Materialized Views Precomputed result sets synced outward on a refresh schedule. Mappings (mapping rules) is specific to Onelogin and Materialized Views to PostgreSQL — 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. Schemas Namespaces that scope which tables a sync reads and writes. Events is specific to Onelogin and Schemas to PostgreSQL — each maps to any object or custom field on the other side.
Authentication factors (MFA) Per-user registered MFA factors; enrolled, verified, and removed through the MFA API for lifecycle and security workflows. Columns Field-level mapping targets; types are mapped to the connected system's field types. Authentication factors (MFA) is specific to Onelogin and Columns to PostgreSQL — each maps to any object or custom field on the other side.
Custom user fields Account-level custom attributes on the User record; read and written alongside the standard user profile fields. Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. Custom user fields is specific to Onelogin and Primary and Unique Keys to PostgreSQL — each maps to any object or custom field on the other side.
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. JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. Users is specific to Onelogin and JSONB Columns to PostgreSQL — each maps to any object or custom field on the other side.

How changes propagate between Onelogin and PostgreSQL

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

PostgreSQL Onelogin Sub-second propagation

DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.

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.
  • PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
What ships with Onelogin ⇄ PostgreSQL

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Onelogin or PostgreSQL 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 PostgreSQL record.

Observability

Monitoring

Track your Onelogin ⇄ PostgreSQL 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 PostgreSQL.

How the Onelogin and PostgreSQL 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.

PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL frontend/backend protocol)
Authentication
Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
Change detection
Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
PostgreSQL setup guide
How it works

How to connect Onelogin to PostgreSQL — 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 PostgreSQL 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
    PostgreSQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Onelogin and PostgreSQL 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 ⇄ PostgreSQL
    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 PostgreSQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Onelogin and PostgreSQL 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 543 integrations available for Onelogin and PostgreSQL.

Popular · 8 of 543
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