Connectors

/

Okta

Data replication

Sync Okta data anywhere.

The Okta Identity Cloud provides identification security for logins by enterprise employees. It simplifies the login process by making all of an individual’s logins across a company’s software applications the same. An Identity-as-a-Service (IDaaS), Okta ensures secure logins across multiple devices, including phone, tablet, desk computers and laptops. Okta offers a management systems for groups, devices, and applications, and allows the additions of applications to Workplace 365 for extreme versatility.

  • Standard
  • Alpha
  • 9 streams
Sync Okta dataRead the docs
Okta

One connector

Everything Okta can do in Airbyte

  • Sync to your warehouse

    Land 9 Okta tables in 50+ destinations on a schedule you control.

  • Incremental syncs

    Pull only the records that changed since the last run instead of reloading everything.

  • One authorization

    Authenticate Okta once and Airbyte keeps every scheduled sync running on it.

  • Cloud or self-hosted

    Run the Okta connector on Cloud, Self-Managed Enterprise.

Specifications

What to know before you sync Okta

  • Support levelStandard
  • Available onCloud, Self-Managed Enterprise
  • Connector version0.3.23
  • Release stageAlpha

Sync capabilities

  • Full Refresh SyncSupported
  • Incremental SyncSupported
  • Destinations50+ Airbyte connectors

Set up in 10 steps

  1. First, navigate to the Okta source connector page on Airbyte.com.
  2. Click on the "Add Source" button to begin the process of adding your Okta source connector.
  3. Enter a name for your Okta source connector and click on the "Next" button.
  4. You will be prompted to enter your Okta credentials. Enter your Okta domain, client ID, client secret, and API token.
  5. Click on the "Test" button to ensure that your credentials are correct and that Airbyte can connect to your Okta source.
  6. If the test is successful, click on the "Save" button to save your Okta source connector.
  7. You can now use your Okta source connector to create a new Airbyte pipeline or add it to an existing pipeline.
  8. To create a new pipeline, click on the "Create New Pipeline" button and select your Okta source connector as the source.
  9. Follow the prompts to select your destination connector and configure your pipeline settings.
  10. Once your pipeline is configured, click on the "Run" button to begin syncing data from your Okta source to your destination.

9 streams

Every table you can sync from Okta

  • Users

  • User Role Assignments

  • Groups

  • Group Members

  • Group Role Assignments

  • System Log

  • Custom Roles

  • Permissions

  • Resource Sets

Authentication

Authenticate Okta once

    • Recommended

    OAuth2.0

    • Recommended

    OAuth 2.0 with private key

  • API Token

Explore

Related connectors

OnfleetFinance & Ops AnalyticsStandard Sources cloudself-managed-enterprise
Open Exchange RatesFinance & Ops AnalyticsStandard Sources cloudself-managed-enterprise
OrbFinance & Ops AnalyticsStandard Sources cloudself-managed-enterprise
Pabbly Subscriptions BillingFinance & Ops AnalyticsStandard Sources cloudself-managed-enterprise
PaddleFinance & Ops AnalyticsStandard Sources cloudself-managed-enterprise
PandaDocFinance & Ops AnalyticsStandard Sources cloudself-managed-enterprise
All connectors

Common questions

Didn't find your answer?
Please don't hesitate to reach out.

Talk to sales

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

Okta's API provides access to a wide range of data related to user authentication, authorization, and management. The following are the categories of data that can be accessed through Okta's API:

1. User data: This includes information about users such as their name, email address, phone number, and group membership.

2. Group data: This includes information about groups such as their name, description, and membership.

3. Application data: This includes information about applications such as their name, description, and configuration settings.

4. Authentication data: This includes information about authentication events such as successful and failed login attempts.

5. Authorization data: This includes information about access control policies and permissions.

6. Event data: This includes information about various events such as user creation, password reset, and group membership changes.

7. System data: This includes information about the Okta system itself such as its version, status, and configuration settings.

Overall, Okta's API provides a comprehensive set of data that can be used to manage and secure user access to various applications and resources.

1. First, navigate to the Okta source connector page on Airbyte.com.

2. Click on the "Add Source" button to begin the process of adding your Okta source connector.

3. Enter a name for your Okta source connector and click on the "Next" button.

4. You will be prompted to enter your Okta credentials. Enter your Okta domain, client ID, client secret, and API token.

5. Click on the "Test" button to ensure that your credentials are correct and that Airbyte can connect to your Okta source.

6. If the test is successful, click on the "Save" button to save your Okta source connector.

7. You can now use your Okta source connector to create a new Airbyte pipeline or add it to an existing pipeline.

8. To create a new pipeline, click on the "Create New Pipeline" button and select your Okta source connector as the source.

9. Follow the prompts to select your destination connector and configure your pipeline settings.

10. Once your pipeline is configured, click on the "Run" button to begin syncing data from your Okta source to your destination.

The most prominent ETL tools to transfer data to include: Airbyte, Fivetran, StitchData, Matillion, Talend Data Integration. These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into and other databases, data warehouses and data lakes, enhancing data management capabilities.

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

Start moving Okta data today

Free for 14 days on Airbyte Cloud. Set up the Okta connector once and let Airbyte keep it in sync.

Try it freeTalk to sales