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Machine Learning & Data Science · head to head

Azure Machine Learning vs Okta

Azure Machine Learning logo

Azure Machine Learning

Machine Learning & Data Science

Enterprise-grade machine learning service

From
Free
Rated
-
Okta logo

Okta

Technology

The identity platform for builders

From
Free
Rated
-

The short version

  • Each has a real cost: Azure Machine Learning requires knowledge of Azure ecosystem and integration with other Azure services; Okta requires $1,500 annual minimum contract
  • They diverge on capability: Azure Machine Learning covers Automated ML, Okta covers Single sign-on (SSO).

Where they differ

Only the attributes on which Azure Machine Learning and Okta actually diverge.

Attributes where Azure Machine Learning and Okta differ
AttributeAzure Machine LearningOkta
Pricing modelusage-basedUnknown
PlatformsAzure CloudWeb, SaaS
CategoryMachine Learning & Data ScienceTechnology
Founded19752009

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

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 Azure Machine Learning

  • Automated ML
  • Designer (drag-and-drop)
  • Notebooks
  • MLOps
  • Model registry
  • Azure Blob Storage
  • Azure DevOps
  • Power BI

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.

Azure Machine Learning

  • Machine learningnot Okta
  • Data analysisnot Okta
  • Model trainingnot Okta
  • Predictive analyticsnot Okta

Okta

  • Employee SSOnot Azure Machine Learning
  • Customer identitynot Azure Machine Learning
  • B2B integrationnot Azure Machine Learning
  • Zero Trust securitynot Azure Machine Learning
  • Compliancenot Azure Machine Learning

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Azure Machine Learning

  • Requires knowledge of Azure ecosystem and integration with other Azure services
  • Compute resources for training and inference generate separate charges

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

Azure Machine Learning

Free
  • Free TierFree
    • Limited compute
    • Basic features
  • Pay-as-you-go$0.05/hour
    • Full platform
    • All compute options
    • Enterprise features

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 Azure Machine Learning if

  • You need automated ml.
  • You want to start without paying.
  • You work on Azure Cloud.
  • You also want designer (drag-and-drop).

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 Azure Machine Learning or Okta better?
Neither clearly leads. Azure Machine Learning starts at Free and Okta at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Azure Machine Learning or Okta?
Azure Machine Learning starts at Free and Okta at Free.
Does Azure Machine Learning or Okta run on more platforms?
Azure Machine Learning runs on Azure Cloud. Okta runs on Web, SaaS.
Can I use Azure Machine Learning for free?
Both have a free tier, so you can try either at no cost before committing.
What is Azure Machine Learning best used for?
Azure Machine Learning 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 Azure Machine Learning do that Okta cannot?
Azure Machine Learning covers Automated ML, Designer (drag-and-drop), Notebooks, MLOps. Okta covers Single sign-on (SSO), Multi-factor authentication, Lifecycle management, Universal directory.

Answered from the vendors’ own pages

Azure Machine Learning: Does Azure Machine Learning have any platform licensing fees?

No, Azure Machine Learning carries no extra cost. You only pay for the underlying compute resources utilized during model training or inference.

Source
Okta: 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.

Source
Azure Machine Learning: What AutoML capabilities does Azure Machine Learning provide?

Azure Machine Learning supports automated model creation for classification, regression, vision, and natural language processing tasks.

Source
Okta: 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.

Source
Azure Machine Learning: Does Azure ML support language model fine-tuning?

Yes, Azure Machine Learning supports fine-tuning of foundation models from providers including OpenAI, Meta, Hugging Face, and Cohere.

Source
Okta: 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.

Source
Azure Machine Learning: What MLOps features are included?

Azure ML includes end-to-end pipeline automation with CI/CD capabilities, managed endpoints for model deployment, and monitoring tools.

Source
Okta: 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.

Source
Azure Machine Learning: Can I access foundation models from multiple vendors?

Yes, Azure Machine Learning provides access to a model catalog with foundation models from Microsoft, OpenAI, Hugging Face, Meta, and Cohere.

Source
Okta: 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.

Source

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