H2O.ai vs. Microsoft R Open / Revolution R Enterprise

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
H2O.ai
Score 6.8 out of 10
N/A
An open-source end-to-end GenAI platform for air-gapped, on-premises or cloud VPC deployments. Users can Query and summarize documents or just chat with local private GPT LLMs using h2oGPT, an Apache V2 open-source project. And the commercially available Enterprise h2oGPTe provides information retrieval on internal data, privately hosts LLMs, and secures data.N/A
Microsoft R Open / Revolution R Enterprise
Score 8.9 out of 10
N/A
Microsoft R Open and Revolution R Enterprise are big data R distribution for servers, Hadoop clusters, and data warehouses. Microsoft acquired original developer Revolution Analytics in 2016. Microsoft R is available in two editions: Microsoft R Open (formerly Revolution R Open) and Revolution R Enterprise.N/A
Pricing
H2O.aiMicrosoft R Open / Revolution R Enterprise
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
H2O.aiMicrosoft R Open / Revolution R Enterprise
Free Trial
NoNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
H2O.aiMicrosoft R Open / Revolution R Enterprise
Top Pros
Top Cons
Features
H2O.aiMicrosoft R Open / Revolution R Enterprise
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
H2O.ai
-
Ratings
Microsoft R Open / Revolution R Enterprise
5.3
3 Ratings
46% below category average
Connect to Multiple Data Sources00 Ratings6.13 Ratings
Extend Existing Data Sources00 Ratings6.03 Ratings
Automatic Data Format Detection00 Ratings6.03 Ratings
MDM Integration00 Ratings3.01 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
H2O.ai
-
Ratings
Microsoft R Open / Revolution R Enterprise
7.0
3 Ratings
19% below category average
Visualization00 Ratings7.03 Ratings
Interactive Data Analysis00 Ratings7.03 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
H2O.ai
-
Ratings
Microsoft R Open / Revolution R Enterprise
4.8
3 Ratings
53% below category average
Interactive Data Cleaning and Enrichment00 Ratings5.13 Ratings
Data Transformations00 Ratings5.03 Ratings
Data Encryption00 Ratings3.01 Ratings
Built-in Processors00 Ratings6.03 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
H2O.ai
-
Ratings
Microsoft R Open / Revolution R Enterprise
6.0
3 Ratings
34% below category average
Multiple Model Development Languages and Tools00 Ratings5.03 Ratings
Automated Machine Learning00 Ratings5.02 Ratings
Single platform for multiple model development00 Ratings8.03 Ratings
Self-Service Model Delivery00 Ratings6.03 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
H2O.ai
-
Ratings
Microsoft R Open / Revolution R Enterprise
6.5
2 Ratings
27% below category average
Flexible Model Publishing Options00 Ratings6.02 Ratings
Security, Governance, and Cost Controls00 Ratings6.92 Ratings
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User Ratings
H2O.aiMicrosoft R Open / Revolution R Enterprise
Likelihood to Recommend
8.1
(3 ratings)
6.0
(5 ratings)
Likelihood to Renew
-
(0 ratings)
7.0
(1 ratings)
Usability
-
(0 ratings)
7.0
(1 ratings)
Support Rating
9.0
(1 ratings)
8.0
(2 ratings)
User Testimonials
H2O.aiMicrosoft R Open / Revolution R Enterprise
Likelihood to Recommend
H2O.ai
Most suited if in little time you wanted to build and train a model. Then, H2O makes life very simple. It has support with R, Python and Java, so no programming dependency is required to use it. It's very simple to use. If you want to modify or tweak your ML algorithm then H2O is not suitable. You can't develop a model from scratch.
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Microsoft
If you are a MS shop specifically, or have more generic data requirement needs from Microsoft sourced data this will work well. If you have a lot of disparate data across a number of unique platforms/cloud systems/3rd party hosted data warehouses then this product will have issues or a lack of documentation on the net. Performance-wise this product is equal to other R platforms out there.
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Pros
H2O.ai
  • Excellent analytical and prediction tool
  • In the beginning, usage of H20 Flow in Web UI enables quick development and sharing of the analytical model
  • Readily available algorithms, easy to use in your analytical projects
  • Faster than Python scikit learn (in machine learning supervised learning area)
  • It can be accessed (run) from Python, not only JAVA etc.
  • Well documented and suitable for fast training or self studying
  • In the beginning, one can use the clickable Flow interface (WEB UI) and later move to a Python console. There is then no need to click in H20 Flow
  • It can be used as open source
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Microsoft
  • It allows distributed algorithm runs on Hadoop HDFS cluster
  • It allows using different file formats such as SAS7BAT files or complex files in tab or comma delimited making data munging easier
  • It provides scalable solutions by allowing users to re-use R scripts and distributing the computing over nodes through RHadoop
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Cons
H2O.ai
  • Better documentation
  • Improve the Visual presentations including charting etc
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Microsoft
  • Very steep learning curve... for such a quick and useful tool the learning curve is unacceptable.
  • Very dangerous in the wrong hands. Because most add-ons are pre-written, you have to trust the community that malicious script is not used.
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Likelihood to Renew
H2O.ai
No answers on this topic
Microsoft
In general, Revolution Analytics brings a lot of value to the organization. The renewal decision would be based on return on investment in terms of quantified actionable insights that are getting generated against the cost of the product. Additionally, market brand of the tool and reputation risk in terms of possible acquisition and its impact to overall organizational analytic strategy would be considered as well.
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Usability
H2O.ai
No answers on this topic
Microsoft
It is good, easy to use, improvements are being made to the product and more info being shared in the community. It just needs some more time to become more integrated to other platforms and tools/data out there.
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Support Rating
H2O.ai
The overall experience I have with H2O is really awesome, even with its cost effectiveness.
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Microsoft
Generally support comes through the forums and user generated channels which are helpful, easy to access, quickly turned around and provided by knowledgeable users. However the support channels are not employees and the channels are often used as a way to learn quick difficult elements of R. Better design, users interface and tutorial options would alleviate the need for this sort of interaction.
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Alternatives Considered
H2O.ai
Both are open source (though H2O only up to some level). Both comprise of deep learning, but H2O is not focused directly on deep learning, while Tensor Flow has a "laser" focus on deep learning. H2O is also more focused on scalability. H2O should be looked at not as a competitor but rather a complementary tool. The use case is usually not only about the algorithms, but also about the data model and data logistics and accessibility. H2O is more accessible due to its UI. Also, both can be accessed from Python. The community around TensorFlow seems larger than that of H2O.
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Microsoft
The two are different products for different purposes. But for someone who has little or no experience in R programming, Power BI would be better for starting with. Having said that, Microsoft R is built on R, thus allowing for customization of complex calculations not typically available otherwise.
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Return on Investment
H2O.ai
  • Positive impact: saving in infrastructure expenses - compared to other bulky tools this costs a fraction
  • Positive impact: ability to get quick fixes from H2O when problems arise - compared to waiting for several months/years for new releases from other vendors
  • Positive impact: Access to H2O core team and able to get features that are needed for our business quickly added to the core H2O product
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Microsoft
  • Helped save company money versus buying other stat software
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ScreenShots