Two-way sync
Changes in Okta or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Keep Okta and Scaleway 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.
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. Scaleway 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 Materialized views, Schemas, Sequences, Columns in Scaleway Postgres with Group Rules, Factors (Authenticators), Policies, System Log 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.
Users, groups, and their memberships from Okta land in Scaleway Postgres as rows your application and queries can join, so authorization checks and access reporting run against the database instead of the directory API.
A group or role change made in either system updates the other, so the entitlements an application enforces match what the directory grants.
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.
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 | Scaleway Postgres objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | Applications is specific to Okta and Columns to Scaleway Postgres — 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. | Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | Group Rules is specific to Okta and Tables to Scaleway Postgres — 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. | Views Read-only sources for shaping data before it leaves the database. | Factors (Authenticators) is specific to Okta and Views to Scaleway Postgres — 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. | Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | Policies is specific to Okta and Materialized views to Scaleway Postgres — 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. | Schemas Namespace tables so multiple applications or environments can be synced selectively. | System Log is specific to Okta and Schemas to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Devices Registered and managed device records tied to users; read to correlate access with device posture and to feed inventory or conditional-access reporting. | Sequences Generate primary keys; sync tooling must respect them when writing rows. | Devices is specific to Okta and Sequences to Scaleway 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.
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 Scaleway Postgres as a row-level write, with types converted between the two schemas.
DetectionChanges in Scaleway Postgres are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication where the managed instance permits it.
DeliveryEach detected change is written to Okta through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Okta–Scaleway Postgres connection.
Changes in Okta or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Okta or Scaleway 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 Okta or Scaleway Postgres record.
Track your Okta ⇄ Scaleway Postgres sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Okta and Scaleway 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 Okta and Scaleway 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 Okta and Scaleway 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 Okta and Scaleway Postgres: authenticate both systems, choose the objects to sync (such as Okta's Applications and Group Rules), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Okta and Scaleway Postgres connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Okta–Scaleway Postgres integration in-house.
Yes — Stacksync ships production-grade connectors for both Okta and Scaleway Postgres. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Scaleway Postgres: Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Scaleway Postgres side: Materialized views, Schemas, Sequences, Columns, plus custom fields where Scaleway Postgres exposes them. On the Okta side: Group Rules, Factors (Authenticators), Policies, System Log. 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.
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.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 441 integrations available for Okta and Scaleway Postgres.