Feature Marketplace · Connectors
Okta Connector
Okta identity and access management platform. Syncs users, groups, applications, and the system log via the Okta Core API using SSWS token authentication.
What syncs
The Okta records STRAX brings into your hub.
Each kind of record is mapped once to your company model in the STRAX hub, then kept current in every system that needs it. Where Okta announces changes, they arrive as they happen.
Users
Okta user accounts including lifecycle status, profile attributes, and login activity.
Changes arrive as they happenGroups
Okta groups including type, profile, and membership update timestamps.
Changes arrive as they happenApplications
Applications integrated with the Okta org including status and sign-on mode.
Changes arrive as they happenSystem Log
Org audit trail of system events including actor, client, and outcome details.
Okta data in your own SQL Server, then wherever it is needed.
STRAX is a self-hosted integration platform. The Okta records land in the STRAX hub, a SQL Server database on your own servers, where your reports, portals and workflows read them. From there the hub delivers them to the other systems you connect, whether those run on SQL Server, MySQL, PostgreSQL or another API. STRAX signs in to Okta with an API key that you provide, stored encrypted.
How STRAX connectors work → How the STRAX integration engine works → Connecting a system, in the documentation →
About this listing
| Version | 1.0.1 |
| Author | STRAX |
| Category | Connectors |
| Published | 2026-07-15 |
What's inside
| Connector profile | 1 |
Free listing
Install it from Feature Marketplace inside STRAX
Open Feature Marketplace
In your STRAX installation, open Feature Marketplace from the navigation.
Find "Okta Connector"
Search or browse to this listing and review the contents disclosure; every package shows what it contains before anything runs.
Install
Choose Install, or "Customise with AI" to adapt the package to your environment first. No licence is needed for free listings.
See it on your own systems.
A demo takes an hour, on your data landscape rather than ours.


