Two-way sync
Changes in MotherDuck or Okta instantly reflect in both systems. No stale data, no manual imports.
Keep MotherDuck and Okta 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 record of who exists and what they can reach; MotherDuck is where the business measures everything else. The two overlap on people and their access — the same users, groups, roles, and events that Okta governs are what security, compliance, and analytics teams want to query in MotherDuck. Getting them there usually means a brittle export that runs overnight and hands auditors a snapshot that is already out of date.
Stacksync syncs System Log, Devices, Users, Groups from Okta into tables in MotherDuck in real time, and the connection works in both directions: values computed in MotherDuck, such as risk scores or access-review decisions, can be written back to attributes in Okta where the identity team acts on them. Schema changes are handled, API limits are managed, and the sync is something you configure rather than a pipeline you keep alive.
Join Okta's users and group memberships with HR, product, and usage data already in MotherDuck to surface who holds access they no longer need.
A continuously synced copy in MotherDuck gives you a durable, queryable record of identity and access state for access reviews, SOC 2, and audit questions.
Risk scores, anomaly flags, or access-review outcomes computed in MotherDuck write back to attributes on the matching user in Okta, where the identity team can act on them.
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.
| MotherDuck objects | Okta objects | How this pairing syncs | |
|---|---|---|---|
| Attached Local DuckDB Databases Local files attached alongside cloud databases for hybrid queries. | 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. | Attached Local DuckDB Databases is specific to MotherDuck and System Log to Okta — each maps to any object or custom field on the other side. | |
| Databases Cloud-hosted DuckDB databases that scope a sync's reads and writes. | Devices Registered and managed device records tied to users; read to correlate access with device posture and to feed inventory or conditional-access reporting. | Databases is specific to MotherDuck and Devices to Okta — each maps to any object or custom field on the other side. | |
| Schemas Namespaces within a database used to organize synced tables. | Users Universal Directory user records with profile attributes, credentials, and lifecycle status (staged, active, suspended, deprovisioned); full CRUD, so users are created, updated, activated, and deactivated to match an HR or identity source. | Schemas is specific to MotherDuck and Users to Okta — each maps to any object or custom field on the other side. | |
| Tables The main landing target for synced records and source for analysis. | 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. | Tables is specific to MotherDuck and Groups to Okta — each maps to any object or custom field on the other side. | |
| Views Modeled projections used as outbound sync sources. | 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. | Views is specific to MotherDuck and Applications to Okta — each maps to any object or custom field on the other side. | |
| Database Shares Read-only copies of a database shared with other users or teams. | Group Rules Dynamic rules that add users to groups from profile attributes; read and written to automate access based on department, title, or location. | Database Shares is specific to MotherDuck and Group Rules to Okta — 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.
DetectionStacksync polls MotherDuck for changes on an incremental schedule, reading only records changed since the previous pass. Polling.
DeliveryEach detected change is written to Okta through its API, with automatic retries and rate-limit backoff.
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 MotherDuck as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MotherDuck–Okta connection.
Changes in MotherDuck or Okta instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever MotherDuck or Okta data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single MotherDuck or Okta record.
Track your MotherDuck ⇄ Okta sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between MotherDuck and Okta.
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 MotherDuck and Okta 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 MotherDuck and Okta 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 MotherDuck and Okta: authenticate both systems, choose the objects to sync (such as MotherDuck's Attached Local DuckDB Databases and Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both MotherDuck and Okta. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on MotherDuck: Polling; no log-based CDC or webhook surface is exposed. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the MotherDuck side: Views, Database Shares, Attached Local DuckDB Databases, Databases, plus custom fields where MotherDuck exposes them. On the Okta side: System Log, Devices, Users, Groups. 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.
Common patterns for MotherDuck and Okta: Access governance on joined data; Queryable history for audit and compliance; Risk and review results back on the account. Join Okta's users and group memberships with HR, product, and usage data already in MotherDuck to surface who holds access they no longer need.
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 447 integrations available for MotherDuck and Okta.