How to load data from Okta to Convex
Learn how to use Airbyte to synchronize your Okta data into Convex within minutes.
Building your pipeline or Using Airbyte
Airbyte is the only open source solution empowering data teams to meet all their growing custom business demands in the new AI era.
Building in-house pipelines
- Inconsistent and inaccurate data
- Laborious and expensive
- Brittle and inflexible
After Airbyte
- Reliable and accurate
- Extensible and scalable for all your needs
- Deployed and governed your way
Start syncing with Airbyte in 3 easy steps within 10 minutes
Take a virtual tour
Demo video of Airbyte Cloud
Demo video of AI Connector Builder
Setup Complexities simplified!
Simple & Easy to use Interface
Airbyte is built to get out of your way. Our clean, modern interface walks you through setup, so you can go from zero to sync in minutes—without deep technical expertise.
Guided Tour: Assisting you in building connections
Whether you’re setting up your first connection or managing complex syncs, Airbyte’s UI and documentation help you move with confidence. No guesswork. Just clarity.
Airbyte AI Assistant that will act as your sidekick in building your data pipelines in Minutes
Airbyte’s built-in assistant helps you choose sources, set destinations, and configure syncs quickly. It’s like having a data engineer on call—without the overhead.
What sets Airbyte Apart
Modern GenAI Workflows
Streamline AI workflows with Airbyte: load unstructured data into vector stores like Pinecone, Weaviate, and Milvus. Supports RAG transformations with LangChain chunking and embeddings from OpenAI, Cohere, etc., all in one operation.
Move Large Volumes, Fast
Quickly get up and running with a 5-minute setup that enables both incremental and full refreshes for databases of any size, seamlessly scaling to handle large data volumes. Our optimized architecture overcomes performance bottlenecks, ensuring efficient data synchronization even as your datasets grow from gigabytes to petabytes.
An Extensible Open-Source Standard
More than 1,000 developers contribute to Airbyte’s connectors, different interfaces (UI, API, Terraform Provider, Python Library), and integrations with the rest of the stack. Airbyte’s AI Connector Builder lets you edit or add new connectors in minutes.
Full Control & Security
Airbyte secures your data with cloud-hosted, self-hosted or hybrid deployment options. Single Sign-On (SSO) and Role-Based Access Control (RBAC) ensure only authorized users have access with the right permissions. Airbyte acts as a HIPAA conduit and supports compliance with CCPA, GDPR, and SOC2.
Fully Featured & Integrated
Airbyte automates schema evolution for seamless data flow, and utilizes efficient Change Data Capture (CDC) for real-time updates. Select only the columns you need, and leverage our dbt integration for powerful data transformations.
Enterprise Support with SLAs
Airbyte Self-Managed Enterprise comes with dedicated support and guaranteed service level agreements (SLAs), ensuring that your data movement infrastructure remains reliable and performant, and expert assistance is available when needed.
What our users say
Raman Singh
Predictable, straightforward pricing model that simplified budgeting and significantly reduced overall spend
Chase Zieman
“Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”
Rupak Patel
"With Airbyte, we could just push a few buttons, allow API access, and bring all the data into Google BigQuery. By blending all the different marketing data sources, we can gain valuable insights."
How to Sync to Manually
Step 1: Understand Okta's API Capabilities
Begin by familiarizing yourself with Okta's REST APIs, as they will be your primary tool for extracting data. Okta's APIs allow you to access user data, groups, and other identity resources. Review the API documentation to understand the endpoints available and how to authenticate requests.
Step 2: Set Up API Authentication in Okta
To make requests to Okta's API, you need an API token. Log in to the Okta Admin Console, navigate to "Security" > "API" > "Tokens," and create a new token. Note the token value, as you'll use it to authenticate your API requests.
Step 3: Extract Data from Okta
Use a programming language or script of your choice (such as Python, JavaScript, or CURL) to interact with Okta's APIs. Write a script to send HTTP GET requests to the relevant endpoints (e.g., `/api/v1/users` for user data). Ensure your script handles pagination if your data set is large.
Step 4: Transform Data into Required Format
Once you have retrieved the data from Okta, you'll likely need to transform it into a format compatible with Convex. This may involve reformatting JSON structures or cleaning up data fields. Use your script to process and prepare the data accordingly.
Step 5: Understand Convex's Data Ingestion Method
Investigate how Convex ingests data. This might involve understanding Convex’s API if available, or how it handles data imports. Ensure you know the data structure and format required by Convex for smooth ingestion.
Step 6: Write a Data Transfer Script for Convex
Develop a script to transfer data into Convex. This script will take the transformed data from step 4 and use Convex's API or other available method to upload the data. This might involve sending HTTP POST requests or uploading files via a command-line tool, depending on Convex’s capabilities.
Step 7: Verify Data Integrity and Consistency
After the data transfer is complete, verify the integrity and consistency of the data in Convex. Compare a sample of records between Okta and Convex to ensure they match. Check for any discrepancies or data loss and address any issues by adjusting your data extraction, transformation, or loading scripts.
By following these steps, you can efficiently move data from Okta to Convex without relying on third-party connectors or integrations, ensuring you maintain control over the data handling process.