Machine Learning & Data Science · head to head
Databricks vs Okta

Databricks
Machine Learning & Data Science
Unified analytics platform for data engineering and data science
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Databricks cloud compute is billed separately by the cloud provider on top of Databricks DBU charges; Okta requires $1,500 annual minimum contract
- They diverge on capability: Databricks covers Delta Lake, Okta covers Single sign-on (SSO).
Where they differ
Only the attributes on which Databricks and Okta actually diverge.
| Attribute | Databricks | Okta |
|---|---|---|
| Pricing model | usage-based | Unknown |
| Platforms | Web, Aws, Azure, Gcp | Web, SaaS |
| Category | Machine Learning & Data Science | Technology |
| Founded | 2013 | 2009 |
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 Databricks
- Delta Lake
- Apache Spark
- MLflow
- Unity Catalog
- Photon Engine
- Collaborative Notebooks
- Auto-scaling
- Azure
Only in Okta
- Single sign-on (SSO)
- Multi-factor authentication
- Lifecycle management
- Universal directory
- API access management
- B2B integration
- Passwordless authentication
- Adaptive MFA
Both cover
- AWS
What people use each for
The jobs each tool is most often brought in to do.
Databricks
- Running Spark data engineering pipelines on managed clustersnot Okta
- Building a lakehouse over data in cloud object storagenot Okta
- Training and serving machine learning models alongside the datanot Okta
Okta
- Employee SSOnot Databricks
- Customer identitynot Databricks
- B2B integrationnot Databricks
- Zero Trust securitynot Databricks
- Compliancenot Databricks
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Databricks
- Cloud compute is billed separately by the cloud provider on top of Databricks DBU charges
- The free trial lasts 14 days
- Discounts require a Committed Use Contract, with larger commitments needed for larger discounts
- Azure Databricks pricing is set by Microsoft rather than by Databricks
- Security and compliance capabilities are sold as separate platform add ons rather than included in the base rate
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
Databricks
Free- Community EditionFree
- Limited cluster
- Notebook environment
- Community support
- Standard$0.07/DBU
- Jobs compute
- SQL compute
- Standard support
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 Databricks if
- You need delta lake.
- You want to start without paying.
- You work on Web, Aws, Azure, Gcp.
- You also want apache spark.
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 Databricks or Okta better?
- Neither clearly leads. Databricks 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, Databricks or Okta?
- Databricks starts at Free and Okta at Free.
- Does Databricks or Okta run on more platforms?
- Databricks runs on Web, Aws, Azure, Gcp. Okta runs on Web, SaaS.
- Can I use Databricks for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Databricks best used for?
- Databricks is most often used for running spark data engineering pipelines on managed clusters, building a lakehouse over data in cloud object storage, training and serving machine learning models alongside the data. Of those, running spark data engineering pipelines on managed clusters and building a lakehouse over data in cloud object storage are not what Okta is typically brought in for.
- What can Databricks do that Okta cannot?
- Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. Okta covers Single sign-on (SSO), Multi-factor authentication, Lifecycle management, Universal directory. Both handle AWS.
Answered from the vendors’ own pages
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.
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.
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.
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
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- Databricks vs DataRobot
- Databricks vs Snowflake
- Databricks vs TensorFlow
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- Databricks vs Jupyter
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- Databricks vs Weights & Biases
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- Databricks vs DVC
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- Databricks vs ClickUp
- Databricks vs Figma
- Databricks vs Linear
- Databricks vs Monday.com
- Databricks vs Greenhouse
- Databricks vs Notion
- Databricks vs Amplitude
- Databricks vs Datadog
- Databricks vs PostHog
- Databricks vs PyCharm
- Databricks vs Sketch
- Databricks vs Docker
- Databricks vs Netlify
- Databricks vs Aha!
- Databricks vs Coda
- Databricks vs Dashlane
- Databricks vs GitHub
- Okta vs AWS SageMaker
- Okta vs Google Vertex AI
- 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 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

