Machine Learning · head to head
H2O.ai vs Ory

H2O.ai
Machine Learning
AI Cloud for building and deploying AI applications
- From
- Free
- Rated
- -

Ory
Cybersecurity
Open-source identity, authentication, and permissions infrastructure
- From
- Free
- Rated
- -
The short version
- Each has a real cost: H2O.ai java is always required to run H2O-3 even when working from R or Python, and only a 64-bit JRE or JDK is supported; Ory production and Growth plans are billed annually ($770/year and $9,350/year), which is a larger upfront commitment than monthly-only competitors.
- They diverge on capability: H2O.ai covers AutoML, Ory covers Authentication APIs.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which H2O.ai and Ory actually diverge.
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 H2O.ai
- AutoML
- Distributed computing
- Feature engineering
- Model explainability
- Time series forecasting
- Spark
- Hadoop
- Python
Only in Ory
- Authentication APIs
- Permissions engine
- Machine-to-machine tokens
- B2B organizations
- SAML SSO
- Multi-region deployments
What people use each for
The jobs each tool is most often brought in to do.
H2O.ai
- Distributed in-memory machine learning over large datasetsnot Ory
- Training and productionising models from R or Python against a shared H2O clusternot Ory
Ory
- Adding self-hosted or cloud identity to a new productnot H2O.ai
- Implementing fine-grained permission checksnot H2O.ai
- Supporting B2B organizations and multi-tenancynot H2O.ai
- Building machine-to-machine authentication for microservicesnot H2O.ai
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
H2O.ai
- Java is always required to run H2O-3 even when working from R or Python, and only a 64-bit JRE or JDK is supported
- Supported Java versions stop at Java SE 17; newer versions only run by forcing an unsupported version flag and are guaranteed for experiments rather than production
- H2O-3 only supports numpy below version 2, so a numpy 2 environment must be downgraded
- Supported Python versions are limited to 3.7 through 3.11
- The Flow web UI requires an internet browser and is the only graphical interface
Ory
- Production and Growth plans are billed annually ($770/year and $9,350/year), which is a larger upfront commitment than monthly-only competitors.
- SAML SSO and multi-region deployments are reserved for the custom-priced Enterprise tier.
- Usage-based pricing across aDAU, M2M tokens, and permission checks makes cost estimation more complex than flat per-MAU billing.
Pricing, plan by plan
H2O.ai
Free- H2O-3 Open SourceFree
- Core algorithms
- AutoML
- Community support
- Driverless AIFree
- Automatic feature engineering
- Model explainability
- Enterprise support
Ory
Free- DeveloperFree
- Community support
- No production environments
- Production$64/month
- $21 monthly credit included
- 1 production environment
- 3 staging environments
- Growth$779/month
- $255 monthly credit included
- 2 production environments
- B2B organizations (max 3)
Which should you pick?
Choose H2O.ai if
- You need automl.
- You want to start without paying.
- You work on Web, Cloud.
- You also want distributed computing.
Choose Ory if
- You need authentication apis.
- You want to start without paying.
- You work on web, api.
- You also want permissions engine.
Questions people ask
- Is H2O.ai or Ory better?
- Neither clearly leads. H2O.ai starts at Free and Ory at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, H2O.ai or Ory?
- H2O.ai starts at Free and Ory at Free.
- Does H2O.ai or Ory run on more platforms?
- H2O.ai runs on Web, Cloud. Ory runs on web, api.
- Can I use H2O.ai for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is H2O.ai best used for?
- H2O.ai is most often used for distributed in-memory machine learning over large datasets, training and productionising models from r or python against a shared h2o cluster. Of those, distributed in-memory machine learning over large datasets and training and productionising models from r or python against a shared h2o cluster are not what Ory is typically brought in for.
- What can H2O.ai do that Ory cannot?
- H2O.ai covers AutoML, Distributed computing, Feature engineering, Model explainability. Ory covers Authentication APIs, Permissions engine, Machine-to-machine tokens, B2B organizations.
Answered from the vendors’ own pages
H2O.ai: Is H2O open source and free?
Yes. H2O-3 OSS is free and Apache-licensed, designed for self-managed and experimental workflows. H2O.ai also offers enterprise cloud solutions with additional features.
SourceOry: What does Ory cost?
Ory has a free Developer tier, a Production plan at $770/year including a $21 monthly credit, a Growth plan at $9,350/year including a $255 monthly credit, and custom Enterprise pricing.
SourceH2O.ai: How many companies use H2O's open source platform?
Over 18,000 companies across Finance, Insurance, Healthcare, Retail, Telco, Sales, and Marketing use H2O's open-source machine learning platform.
SourceOry: How is usage metered?
Beyond the included credit, Ory charges per average daily active user (aDAU), per machine-to-machine token, and per permission check, with lower per-unit rates on the Growth plan.
SourceOry: What payment methods are supported?
Ory accepts credit cards (Visa, MasterCard, Amex) and bank transfer, processed via Stripe.
SourceRelated pages
Other head to heads
- H2O.ai vs DataRobot
- H2O.ai vs scikit-learn
- H2O.ai vs TensorFlow
- H2O.ai vs Apache Spark MLlib
- H2O.ai vs Google Vertex AI
- H2O.ai vs Azure Machine Learning
- H2O.ai vs RapidMiner
- H2O.ai vs Snowflake
- H2O.ai vs Palantir Foundry
- H2O.ai vs Domino Data Lab
- H2O.ai vs Cohere
- H2O.ai vs Ray
- H2O.ai vs ClearML
- H2O.ai vs Dask
- H2O.ai vs Fal AI
- H2O.ai vs Groq
- H2O.ai vs Haystack
- H2O.ai vs Logto
- H2O.ai vs authentik
- H2O.ai vs Clerk
- H2O.ai vs Authelia
- H2O.ai vs 1Password
- H2O.ai vs Infisical
- H2O.ai vs Chainguard
- H2O.ai vs Sigstore
- H2O.ai vs OWASP ZAP
- H2O.ai vs Bitwarden
- H2O.ai vs Semgrep
- H2O.ai vs Trivy
- H2O.ai vs Avast One
- H2O.ai vs Cosign
- H2O.ai vs CyberGhost VPN
- H2O.ai vs Dahua Technology
- Ory vs DataRobot
- Ory vs scikit-learn
- Ory vs TensorFlow
- Ory vs Apache Spark MLlib
- Ory vs Google Vertex AI
- Ory vs Azure Machine Learning
- Ory vs RapidMiner
- Ory vs Snowflake
- Ory vs Palantir Foundry
- Ory vs Domino Data Lab
- Ory vs Cohere
- Ory vs Ray
- Ory vs ClearML
- Ory vs Dask
- Ory vs Fal AI
- Ory vs Groq
- Ory vs Haystack
- Ory vs Logto
- Ory vs authentik
- Ory vs Clerk
- Ory vs Authelia
- Ory vs 1Password
- Ory vs Infisical
- Ory vs Chainguard
- Ory vs Sigstore
- Ory vs OWASP ZAP
- Ory vs Bitwarden
- Ory vs Semgrep
- Ory vs Trivy
- Ory vs Avast One
- Ory vs Cosign
- Ory vs CyberGhost VPN
- Ory vs Dahua Technology
