Real-time
Two-way sync
Changes in Okta or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Security and identity ⇄ Database
Okta to Postgres Heroku integration — real-time, two-way sync
Keep Okta 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
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Okta and Postgres Heroku
Close the gap between your application data and your directory: Postgres Heroku and Okta share users, groups, and access in real time, in both directions.
Okta 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 Schemas, Primary and Unique Keys, JSONB Columns, Sequences in Postgres Heroku with System Log, Devices, Users, Groups in Okta 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 Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
- 02 Keep several Heroku app databases aligned with one system of record
- 03 Sync Groups and their memberships two-way between Okta and a database or IdP so downstream app access stays aligned with source-of-truth org data.
- 04 Mirror the System Log into Postgres or a warehouse for security analytics, access reviews, and audit retention beyond Okta's log window.
Common sync patterns
Deprovision the moment the record changes
When someone is marked inactive or removed in Postgres Heroku, the matching account in Okta 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 Okta land in Postgres Heroku as rows your application and queries can join, so authorization checks and access reporting run against the database instead of the directory API.
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.
What you can sync between Okta 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.
| Okta objects | Postgres Heroku objects | How this pairing syncs | |
|---|---|---|---|
| Groups Okta groups (OKTA_GROUP, APP_GROUP, BUILT_IN) and their memberships; OKTA_GROUP records and membership are written to drive app and resource access. | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Groups is specific to Okta and Primary and Unique Keys to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Applications App integrations (SAML, OIDC, SWA) with per-user and per-group assignments; read and updated to manage which identities can reach each downstream app. | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | Applications is specific to Okta and JSONB Columns to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Group Rules Dynamic rules that add users to groups from profile attributes; read and written to automate access based on department, title, or location. | Sequences Generate surrogate keys for rows created by inbound syncs. | Group Rules is specific to Okta and Sequences to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Factors (Authenticators) MFA enrollments per user (Okta Verify, WebAuthn, SMS, email); read for security-posture reporting and reset when a device is lost or rotated. | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Factors (Authenticators) is specific to Okta and Follower Databases to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Policies Sign-on, password, and authenticator-enrollment policies with their rules; read to audit access controls or updated to manage them centrally. | Tables Standard Postgres tables; the primary two-way sync target for app data. | Policies is specific to Okta and Tables to Postgres Heroku — each maps to any object or custom field on the other side. | |
| System Log Immutable audit event stream of logins, admin changes, and lifecycle events; read-only, polled by timestamp and used as the change feed and SIEM source. | Views Read-side projections exposed to outbound syncs. | System Log is specific to Okta and Views to Postgres Heroku — each maps to any object or custom field on the other side. |
How changes propagate between Okta 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.
Okta Postgres Heroku Sub-second propagation
DetectionOkta notifies Stacksync of record changes through webhook events. Event Hooks send an HTTPS POST to a subscribed endpoint on events such as user.lifecycle.create and group.user_membership.add (after a one-time.
DeliveryEach detected change is applied to Postgres Heroku as a row-level write, with types converted between the two schemas.
Postgres Heroku Okta 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 Okta through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Okta: Rate limits are enforced per org, per endpoint group, per minute and vary by Okta edition; responses carry X-Rate-Limit-Limit, X-Rate-Limit-Remaining, and X-Rate-Limit-Reset headers and exceeding one returns HTTP 429. The System Log is more tightly limited (about 120 requests/minute) and a separate concurrent-request cap (default 75 in-flight transactions) also applies.
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with Okta ⇄ Postgres Heroku
Connect Okta and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Okta–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Okta 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 Okta or Postgres Heroku record.
Observability
Monitoring
Track your Okta ⇄ 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 Okta and Postgres Heroku.
How the Okta and Postgres Heroku connectors work
Okta
- Integration surface
- REST API (Okta Management API, /api/v1) with Event Hooks for outbound events and the System Log API as the change feed
- Authentication
- SSWS API tokens (Authorization: SSWS {token}) scoped to the creating admin's permissions, or OAuth 2.0 for Okta service apps using a private-key-JWT client-credentials grant with granular scopes (DPoP supported)
- Change detection
- Event Hooks send an HTTPS POST to a subscribed endpoint on events such as user.lifecycle.create and group.user_membership.add (after a one-time verification handshake); the System Log API (/api/v1/logs) is polled by the since parameter and the next Link header for a near-real-time change feed
- Capabilities
- read · write · webhooks
- Rate limits
- Rate limits are enforced per org, per endpoint group, per minute and vary by Okta edition; responses carry X-Rate-Limit-Limit, X-Rate-Limit-Remaining, and X-Rate-Limit-Reset headers and exceeding one returns HTTP 429. The System Log is more tightly limited (about 120 requests/minute) and a separate concurrent-request cap (default 75 in-flight transactions) also applies.
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 Okta 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 Okta 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.
Okta
connected
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Okta 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 · Okta ⇄ 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.
Okta Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Okta and Postgres Heroku integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Okta and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Okta's Groups and Applications), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Okta and Postgres Heroku. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Okta: Event Hooks send an HTTPS POST to a subscribed endpoint on events such as user.lifecycle.create and group.user_membership.add (after a one-time verification handshake); the System Log API (/api/v1/logs) is polled by the since parameter and the next Link header for a near-real-time change feed. 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.
-
On the Postgres Heroku side: Schemas, Primary and Unique Keys, JSONB Columns, Sequences, plus custom fields where Postgres Heroku exposes them. On the Okta side: System Log, Devices, Users, Groups. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for Okta and Postgres Heroku: Deprovision the moment the record changes; Read users and groups as ordinary tables; Keep group and role membership aligned. When someone is marked inactive or removed in Postgres Heroku, the matching account in Okta is disabled within seconds, closing the window between a departure and a login that still works.
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 Okta and Postgres Heroku.
Popular · 8 of 446
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Okta ⇄ RavenDB -
Okta ⇄ Redis Enterprise -
Okta ⇄ SAP ASE (Sybase) -
Okta ⇄ Scaleway Postgres -
Postgres Heroku ⇄ Jumpcloud -
Postgres Heroku ⇄ Active Directory - Postgres Heroku ⇄ Azure Active Directory
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Postgres Heroku ⇄ Onelogin
No integrations match .
