Two-way sync
Changes in Amazon Redshift or Okta instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Redshift 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; Amazon Redshift 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 Amazon Redshift. Getting them there usually means a brittle export that runs overnight and hands auditors a snapshot that is already out of date.
Stacksync syncs Policies, System Log, Devices, Users from Okta into tables in Amazon Redshift in real time, and the connection works in both directions: values computed in Amazon Redshift, 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.
A continuously synced copy in Amazon Redshift 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 Amazon Redshift write back to attributes on the matching user in Okta, where the identity team can act on them.
Users, groups, and roles from Okta arrive in Amazon Redshift as queryable tables, current within seconds instead of a nightly directory export.
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.
| Amazon Redshift objects | Okta objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces used to organize synced tables and control grants. | 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 Amazon Redshift and Users to Okta — each maps to any object or custom field on the other side. | |
| Tables Columnar tables used as sync destinations for SaaS and database data. | 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 Amazon Redshift and Groups to Okta — each maps to any object or custom field on the other side. | |
| Views SQL views readable as modeled sources for reverse 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. | Views is specific to Amazon Redshift and Applications to Okta — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed results that downstream syncs can read for performance. | Group Rules Dynamic rules that add users to groups from profile attributes; read and written to automate access based on department, title, or location. | Materialized Views is specific to Amazon Redshift and Group Rules to Okta — each maps to any object or custom field on the other side. | |
| External Tables (Spectrum) S3-backed tables queryable through Redshift, readable in syncs. | 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. | External Tables (Spectrum) is specific to Amazon Redshift and Factors (Authenticators) to Okta — each maps to any object or custom field on the other side. | |
| Stored Procedures SQL procedures sometimes invoked around load steps. | Policies Sign-on, password, and authenticator-enrollment policies with their rules; read to audit access controls or updated to manage them centrally. | Stored Procedures is specific to Amazon Redshift and Policies 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 Amazon Redshift for changes on an incremental schedule, reading only records changed since the previous pass. Polling or query-based diffing.
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 Amazon Redshift as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Redshift–Okta connection.
Changes in Amazon Redshift or Okta instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Redshift 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 Amazon Redshift or Okta record.
Track your Amazon Redshift ⇄ Okta sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Redshift 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 Amazon Redshift 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 Amazon Redshift 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 Amazon Redshift and Okta: authenticate both systems, choose the objects to sync (such as Amazon Redshift's Schemas and Tables), 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 Amazon Redshift and Okta connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon Redshift–Okta integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon Redshift and Okta. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Amazon Redshift: Polling or query-based diffing; Redshift does not expose a transaction log for external CDC consumers. 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 Amazon Redshift side: External Tables (Spectrum), Stored Procedures, Users and Groups, Databases, plus custom fields where Amazon Redshift exposes them. On the Okta side: Policies, System Log, Devices, Users. 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 540 integrations available for Amazon Redshift and Okta.