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Security and identity ⇄ Data warehouse

Okta to Yellowbrick integration — real-time, two-way sync

Keep Okta and Yellowbrick 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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Why teams connect Okta and Yellowbrick

Land the users, groups, and access events from Okta in Yellowbrick continuously for security analytics, and write computed results back — without building or maintaining a pipeline.

Okta is the record of who exists and what they can reach; Yellowbrick 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 Yellowbrick. Getting them there usually means a brittle export that runs overnight and hands auditors a snapshot that is already out of date.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 Yellowbrick in real time, and the connection works in both directions: values computed in Yellowbrick, 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.

Common use cases

  • 01 Sync CRM and marketing data into Yellowbrick tables so it can be joined with large fact tables for enterprise BI.
  • 02 Land ERP transactional extracts in Yellowbrick for finance and supply-chain analytics.
  • 03 Read Application assignments and Factors into a database to report on who can reach which app and which users have strong MFA enrolled.
  • 04 Drive Group Rules and policy assignments from HR attributes so access changes the moment a title, department, or location changes.

Common sync patterns

Directory data in the warehouse, minus the pipeline

Users, groups, and roles from Okta arrive in Yellowbrick as queryable tables, current within seconds instead of a nightly directory export.

Access and sign-in analytics

Sign-in and access events from Okta land in Yellowbrick, so security and compliance teams can query who reached what, and when, alongside the rest of the business's data.

Access governance on joined data

Join Okta's users and group memberships with HR, product, and usage data already in Yellowbrick to surface who holds access they no longer need.

What you can sync between Okta and Yellowbrick

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 Yellowbrick objects How this pairing syncs
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 Columnar MPP tables; the primary targets for warehouse syncs. Group Rules is specific to Okta and Tables to Yellowbrick — 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 Logical views used to shape reads for BI and downstream syncs. Factors (Authenticators) is specific to Okta and Views to Yellowbrick — 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. Users and Roles Access-control objects that govern what a sync service account can read and write. Policies is specific to Okta and Users and Roles to Yellowbrick — 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. Databases Top-level containers for schemas and tables. System Log is specific to Okta and Databases to Yellowbrick — 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. Schemas Namespaces used to organize synced datasets by source or domain. Devices is specific to Okta and Schemas to Yellowbrick — each maps to any object or custom field on the other side.

How changes propagate between Okta and Yellowbrick

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 Yellowbrick 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 Yellowbrick as a row-level write, with types converted between the two schemas.

Yellowbrick Okta Interval-based propagation

DetectionStacksync polls Yellowbrick for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp columns.

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.
  • Yellowbrick: No API rate limits; throughput depends on cluster sizing, and bulk loads should use ybload rather than row-by-row inserts.
What ships with Okta ⇄ Yellowbrick

Connect Okta and Yellowbrick for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Okta–Yellowbrick connection.

Real-time

Two-way sync

Changes in Okta or Yellowbrick instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Okta or Yellowbrick 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 Yellowbrick record.

Observability

Monitoring

Track your Okta ⇄ Yellowbrick 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 Yellowbrick.

How the Okta and Yellowbrick 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.

Yellowbrick

Integration surface
SQL wire protocol (PostgreSQL-compatible) with JDBC/ODBC drivers; bulk loading via the ybload utility
Authentication
Database credentials, with LDAP and Kerberos options in enterprise deployments
Change detection
Polling on timestamp columns; no exposed transaction-log CDC
Capabilities
read · write
Rate limits
No API rate limits; throughput depends on cluster sizing, and bulk loads should use ybload rather than row-by-row inserts.
How it works

How to connect Okta to Yellowbrick — 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.

  1. 01

    Connect your apps

    Authenticate Okta and Yellowbrick with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Okta connected
    Yellowbrick connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Okta and Yellowbrick 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Okta ⇄ Yellowbrick
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Okta Yellowbrick
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Okta and Yellowbrick integration FAQ

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.

Learn more about security
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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 429 integrations available for Okta and Yellowbrick.

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