Real-time
Two-way sync
Changes in Onelogin or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Security and identity ⇄ Database
Onelogin to Postgres Heroku integration — real-time, two-way sync
Keep Onelogin and Postgres Heroku 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 Postgres Heroku
Close the gap between your application data and your directory: Postgres Heroku 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. Postgres Heroku 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 Follower Databases, Tables, Views, Materialized Views in Postgres Heroku with Custom user fields, Users, Roles, Apps (app instances) 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 Reflect billing and subscription records into the app database so product logic reads local rows
- 02 Expose CRM objects as Postgres tables the Heroku application can query and join directly
- 03 Read Users, Apps, and Groups into a database for identity, license, and app-assignment inventory across the OneLogin account.
- 04 Two-way sync Users between OneLogin and an HRIS or Postgres so new hires, attribute changes, and terminations provision and deprovision SSO accounts automatically.
Common sync patterns
Keep group and role membership aligned
A group or role change made in either system updates the other, so the entitlements an application enforces match what the directory grants.
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 Postgres Heroku, Stacksync creates the matching user in Onelogin with the right attributes, so access starts from live data instead of a manual ticket.
What you can sync between Onelogin and Postgres Heroku
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 | Postgres Heroku objects | How this pairing syncs | |
|---|---|---|---|
| Events Audit log of every authentication and admin action; read-only, filtered by since/until, and pushed live through the Event Webhook. | Sequences Generate surrogate keys for rows created by inbound syncs. | Events is specific to Onelogin and Sequences to Postgres Heroku — 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. | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Authentication factors (MFA) is specific to Onelogin and Follower Databases to Postgres Heroku — 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. | Tables Standard Postgres tables; the primary two-way sync target for app data. | Custom user fields is specific to Onelogin and Tables to Postgres Heroku — 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. | Views Read-side projections exposed to outbound syncs. | Users is specific to Onelogin and Views to Postgres Heroku — 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. | Materialized Views Precomputed result sets synced outward on refresh. | Roles is specific to Onelogin and Materialized Views to Postgres Heroku — 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. | Schemas Namespaces that scope which tables a sync reads and writes. | Apps (app instances) is specific to Onelogin and Schemas to Postgres Heroku — each maps to any object or custom field on the other side. |
How changes propagate between Onelogin and Postgres Heroku
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 Postgres Heroku 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 Postgres Heroku as a row-level write, with types converted between the two schemas.
Postgres Heroku Onelogin Interval-based propagation
DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.
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.
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with Onelogin ⇄ Postgres Heroku
Connect Onelogin and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Onelogin–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Onelogin or Postgres Heroku 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 Postgres Heroku record.
Observability
Monitoring
Track your Onelogin ⇄ Postgres Heroku 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 Postgres Heroku.
How the Onelogin and Postgres Heroku 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.
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works
How to connect Onelogin to Postgres Heroku — 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.
- 01
Connect your apps
Authenticate Onelogin and Postgres Heroku with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Onelogin
connected
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Onelogin and Postgres Heroku 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.
objects · Onelogin ⇄ Postgres HerokuCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Onelogin Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Onelogin and Postgres Heroku integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Onelogin and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Onelogin's Events and Authentication factors (MFA)), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Postgres Heroku: Credentials are managed by Heroku through the DATABASE_URL config var and can rotate, so integrations should tolerate credential changes. Onelogin: Users, Roles, Apps, and Mapping rules are the writable surface; Groups and the Events audit log are read-only through the OneLogin API. Stacksync's field mapping accounts for these differences between Onelogin and Postgres Heroku without custom code.
-
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Onelogin and Postgres Heroku records are not retained after a sync operation.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Onelogin and Postgres Heroku connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Onelogin–Postgres Heroku integration in-house.
-
Yes — Stacksync ships production-grade connectors for both Onelogin and Postgres Heroku. 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 Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 446 integrations available for Onelogin and Postgres Heroku.
Popular · 8 of 446
-
Onelogin ⇄ Dynamo DB -
Onelogin ⇄ IBM Db2 -
Onelogin ⇄ Firebase -
Onelogin ⇄ SingleStore -
Postgres Heroku ⇄ Active Directory - Postgres Heroku ⇄ Azure Active Directory
-
Postgres Heroku ⇄ Okta -
Postgres Heroku ⇄ Auth0
No integrations match .
