Software · head to head
Google Vertex AI vs Okta

Google Vertex AI
Software
Unified ML platform to build, deploy, and scale AI models
- From
- On request
- Rated
- -
The short version
- Only Okta has a free tier, so it costs nothing to try first.
- Each has a real cost: Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult; Okta requires $1,500 annual minimum contract
- They diverge on capability: Google Vertex AI covers AutoML, Okta covers Single sign-on (SSO).
Where they differ
Only the attributes on which Google Vertex AI and Okta actually diverge.
| Attribute | Google Vertex AI | Okta |
|---|---|---|
| Starting price | On request | Free |
| Free tier | No | Yes |
| Platforms | Cloud, Web | Web, SaaS |
| Founded | 2008 | 2009 |
Identical on both: pricing model (Unknown), user rating (Not yet rated), category (Unknown).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Google Vertex AI
- AutoML
- Custom training
- Feature Store
- Model monitoring
- Prediction serving
- BigQuery
- Cloud Storage
- TensorFlow
Only in Okta
- Single sign-on (SSO)
- Multi-factor authentication
- Lifecycle management
- Universal directory
- API access management
- B2B integration
- Passwordless authentication
- Adaptive MFA
What people use each for
The jobs each tool is most often brought in to do.
Google Vertex AI
- Machine learningnot Okta
- Data analysisnot Okta
- Model trainingnot Okta
- Predictive analyticsnot Okta
Okta
- Employee SSOnot Google Vertex AI
- Customer identitynot Google Vertex AI
- B2B integrationnot Google Vertex AI
- Zero Trust securitynot Google Vertex AI
- Compliancenot Google Vertex AI
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Google Vertex AI
- Vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
- Requires familiarity with Google Cloud Platform infrastructure and concepts
- Cost can escalate quickly with large training and inference workloads
Okta
- Requires $1,500 annual minimum contract
- Admin-only MFA can be vulnerable to push notification fatigue attacks
- Implementation requires significant services and integration fees in year one
Pricing, plan by plan
Google Vertex AI
On requestNo published plan breakdown. See the Google Vertex AI review.
Okta
Free- Starter Suite$6/user/month
- SSO
- MFA
- Universal Directory
- Core Essentials Suite$14/user/month
- Adaptive MFA
- Privileged Access
- Lifecycle Management
- Essentials Suite$17/user/month
- Same as Core Essentials
- Most popular
- Professional Suite$null/custom
- Device Access
- Identity Security Posture
- Threat Protection
Which should you pick?
Choose Google Vertex AI if
- You need automl.
- You work on Cloud, Web.
- You also want custom training.
Choose Okta if
- You need single sign-on (sso).
- You want to start without paying.
- You work on Web, SaaS.
- You also want multi-factor authentication.
Questions people ask
- Is Google Vertex AI or Okta better?
- Neither clearly leads. Google Vertex AI starts at On request and Okta at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Google Vertex AI or Okta?
- Okta has a free tier; the other does not. Paid plans start at On request for Google Vertex AI and Free for Okta.
- Does Google Vertex AI or Okta run on more platforms?
- Google Vertex AI runs on Cloud, Web. Okta runs on Web, SaaS.
- Can I use Okta for free?
- Yes. Okta has a free tier, so you can try it without paying. Google Vertex AI starts at On request.
- What is Google Vertex AI best used for?
- Google Vertex AI is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Okta is typically brought in for.
- What can Google Vertex AI do that Okta cannot?
- Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring. Okta covers Single sign-on (SSO), Multi-factor authentication, Lifecycle management, Universal directory.
Answered from the vendors’ own pages
Google Vertex AI: What is the pricing model for Google Vertex AI?
Vertex AI uses a pay-as-you-go model with no upfront costs or lock-in fees. Costs vary by service: training is billed by compute resources and time (30-second increments), online predictions by machine type per hour, and batch predictions by compute time or per-record for specific AutoML types.
SourceOkta: What is the minimum contract for Okta Workforce Identity?
Okta requires a $1,500 annual minimum contract for Workforce Identity plans. Pricing starts at $6 per user per month (Starter) and ranges to $17 per user per month (Essentials), billed annually.
SourceGoogle Vertex AI: What types of data can Vertex AI handle?
Vertex AI supports image, video, text, and tabular data types with tools for uploading, storing, and managing large datasets.
SourceOkta: Does Okta offer a free trial?
Yes, Okta provides a 30-day free trial so customers can explore all product capabilities before committing to a paid plan.
SourceGoogle Vertex AI: Does Vertex AI support custom model training?
Yes. Vertex AI supports both AutoML for automated machine learning and custom training code in Python, R, and other languages.
SourceOkta: How many pre-built integrations does Okta support?
Okta offers over 7,000 pre-built integrations with popular enterprise applications including Salesforce, Slack, Workday, Box, Confluence, and Zendesk.
SourceGoogle Vertex AI: What deployment options are available in Vertex AI?
Vertex AI supports online predictions for real-time use cases and batch predictions for large-scale processing.
SourceOkta: What security features does Okta provide for admins?
Okta provides multi-factor authentication, adaptive MFA, single logout, and identity threat detection and response. However, only 94% of Okta customers have MFA enabled for administrators.
SourceOkta: Can Okta integrate with on-premises directories?
Yes, Okta's Universal Directory and lifecycle management support cloud and on-premises identity sources, including Active Directory and LDAP.
SourceRelated pages
More on Google Vertex AI
Keep looking
Other head to heads
- Google Vertex AI vs AWS SageMaker
- Google Vertex AI vs Azure Machine Learning
- Google Vertex AI vs DataRobot
- Google Vertex AI vs Snowflake
- Google Vertex AI vs TensorFlow
- Google Vertex AI vs Comet ML
- Google Vertex AI vs Keras
- Google Vertex AI vs MLflow
- Google Vertex AI vs Jupyter
- Google Vertex AI vs PyTorch
- Google Vertex AI vs scikit-learn
- Google Vertex AI vs Apache Spark MLlib
- Google Vertex AI vs Weights & Biases
- Google Vertex AI vs Alteryx
- Google Vertex AI vs Anaconda
- Google Vertex AI vs Databricks
- Google Vertex AI vs Dataiku
- Google Vertex AI vs DVC
- Google Vertex AI vs Asana
- Google Vertex AI vs ClickUp
- Google Vertex AI vs Figma
- Google Vertex AI vs Linear
- Google Vertex AI vs Monday.com
- Google Vertex AI vs Greenhouse
- Google Vertex AI vs Notion
- Google Vertex AI vs Amplitude
- Google Vertex AI vs Datadog
- Google Vertex AI vs PostHog
- Google Vertex AI vs PyCharm
- Google Vertex AI vs Sketch
- Google Vertex AI vs Docker
- Google Vertex AI vs Netlify
- Google Vertex AI vs Aha!
- Google Vertex AI vs Coda
- Google Vertex AI vs Dashlane
- Google Vertex AI vs GitHub
- Okta vs AWS SageMaker
- Okta vs Azure Machine Learning
- Okta vs DataRobot
- Okta vs Snowflake
- Okta vs TensorFlow
- Okta vs Comet ML
- Okta vs Keras
- Okta vs MLflow
- Okta vs Jupyter
- Okta vs PyTorch
- Okta vs scikit-learn
- Okta vs Apache Spark MLlib
- Okta vs Weights & Biases
- Okta vs Alteryx
- Okta vs Anaconda
- Okta vs Databricks
- Okta vs Dataiku
- Okta vs DVC
- Okta vs Asana
- Okta vs ClickUp
- Okta vs Figma
- Okta vs Linear
- Okta vs Monday.com
- Okta vs Greenhouse
- Okta vs Notion
- Okta vs Amplitude
- Okta vs Datadog
- Okta vs PostHog
- Okta vs PyCharm
- Okta vs Sketch
- Okta vs Docker
- Okta vs Netlify
- Okta vs Aha!
- Okta vs Coda
- Okta vs Dashlane
- Okta vs GitHub

