Technology · head to head
Greenhouse vs H2O.ai

H2O.ai
Machine Learning
AI Cloud for building and deploying AI applications
- From
- Free
- Rated
- -
The short version
- Only H2O.ai has a free tier, so it costs nothing to try first.
- Each has a real cost: Greenhouse core plan lacks talent discovery and contact lookups; 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
- They diverge on capability: Greenhouse covers Applicant tracking, H2O.ai covers AutoML.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Greenhouse and H2O.ai actually diverge.
| Attribute | Greenhouse | H2O.ai |
|---|---|---|
| Starting price | On request | Free |
| Pricing model | quote | freemium |
| Free tier | No | Yes |
| Platforms | Web, Ios, Android, Api | Web, Cloud |
| Category | Technology | Machine Learning |
| Founded | 2012 | 2011 |
Identical on both: 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 Greenhouse
- Applicant tracking
- Interview scheduling
- Scorecard system
- Job board posting
- Candidate CRM
- Reporting & analytics
- Offer management
- EEO compliance
Only in H2O.ai
- AutoML
- Distributed computing
- Feature engineering
- Model explainability
- Time series forecasting
- Spark
- Hadoop
- Python
What people use each for
The jobs each tool is most often brought in to do.
Greenhouse
- Enterprise hiring and recruiting automationnot H2O.ai
- Multi-location and multi-team talent acquisitionnot H2O.ai
- Structured interview process managementnot H2O.ai
H2O.ai
- Distributed in-memory machine learning over large datasetsnot Greenhouse
- Training and productionising models from R or Python against a shared H2O clusternot Greenhouse
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Greenhouse
- Core plan lacks talent discovery and contact lookups
- Core plan lacks email automation and applicant texting
- Plus plan lacks resume anonymisation and application limits
- Plus plan lacks audit logging and developer tools
- Pricing customised by hiring volume and company size, not published
- Only Pro tier offers audit logs and developer sandbox
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
Pricing, plan by plan
Greenhouse
On requestNo published plan breakdown. See the Greenhouse review.
H2O.ai
Free- H2O-3 Open SourceFree
- Core algorithms
- AutoML
- Community support
- Driverless AIFree
- Automatic feature engineering
- Model explainability
- Enterprise support
Which should you pick?
Choose Greenhouse if
- You need applicant tracking.
- You work on Web, Ios, Android, Api.
- You also want interview scheduling.
Choose H2O.ai if
- You need automl.
- You want to start without paying.
- You work on Web, Cloud.
- You also want distributed computing.
Questions people ask
- Is Greenhouse or H2O.ai better?
- Neither clearly leads. Greenhouse starts at On request and H2O.ai at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Greenhouse or H2O.ai?
- H2O.ai has a free tier; the other does not. Paid plans start at On request for Greenhouse and Free for H2O.ai.
- Does Greenhouse or H2O.ai run on more platforms?
- Greenhouse runs on Web, Ios, Android, Api. H2O.ai runs on Web, Cloud.
- Can I use H2O.ai for free?
- Yes. H2O.ai has a free tier, so you can try it without paying. Greenhouse starts at On request.
- What is Greenhouse best used for?
- Greenhouse is most often used for enterprise hiring and recruiting automation, multi-location and multi-team talent acquisition, structured interview process management. Of those, enterprise hiring and recruiting automation and multi-location and multi-team talent acquisition are not what H2O.ai is typically brought in for.
- What can Greenhouse do that H2O.ai cannot?
- Greenhouse covers Applicant tracking, Interview scheduling, Scorecard system, Job board posting. H2O.ai covers AutoML, Distributed computing, Feature engineering, Model explainability.
Answered from the vendors’ own pages
Greenhouse: How much does Greenhouse cost?
Greenhouse does not publish specific pricing. The company states that pricing is customized based on your hiring needs, hiring volume, organizational complexity, and required features.
SourceH2O.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.
SourceGreenhouse: What are the Greenhouse pricing tiers?
Greenhouse offers three plan levels: Core (basic hiring structure), Plus (multi-location optimization), and Pro (complex enterprise hiring). Exact pricing requires contacting Greenhouse for a custom quote.
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.
SourceGreenhouse: Do all Greenhouse tiers include the same features?
No. Core includes sourcing and scheduling, Plus adds automation and texting, and Pro adds enterprise data configuration and audit logs. All tiers can be customized.
SourceRelated pages
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- H2O.ai vs Eclipse
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- H2O.ai vs Mixpanel
- H2O.ai vs Pendo
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- H2O.ai vs Apache Hadoop
- 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
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