H2O.ai vs. JarviX

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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JarviX is very good at data integration, creating charts and reports for data visualization. It is really impressive that Jarvix can let our marketing team know the number of members living in a specific area in seconds. In addition, the product manager from Synergies is willing to help us with all problems we encounter. I accidentally changed one of the settings in a data table which threw the existing dashboard into chaos. However, after assistance from the product manager, we were able to successfully bring the data back to normal.

• 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

Incentivized

Independently Invited by TrustRadius

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• The algorithm platform is handy
• Time-saving
• Real-time data update
• Database docking

• Better documentation
• Improve the Visual presentations including charting etc

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Independently Invited by TrustRadius

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• There should be more flexibility in changing the data tables uploaded into JarviX. For example, it should enable users to edit the syntax of the table or change the data format of the columns without affecting the existing dashboard and charts already created using that data table.

JarviX is very easy to use, once everyone learns how to use JarviX to produce their own data reports, it reduces IT’s workload.

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Invited by the Vendor

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The overall experience I have with H2O is really awesome, even with its cost effectiveness.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

JarviX is very easy to use, once everyone learns how to use JarviX to produce their own data reports, it reduces IT’s workload.

Incentivized

Invited by the Vendor

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

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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Independently Invited by TrustRadius

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Tableau and Power BI. Obviously, they are not in the same category. Tableau and Power BI only provide data visualizations plus a little bit of analytics. JarviX not only provides data exploration, so you can find out what the problem is, as well as model management and App builder. If you only look for a dashboard, yes BI is probably enough, but if you constantly feel lacking actionable insights for actual implementations of improvements, JarviX is the choice for you.

Incentivized

Invited by the Vendor

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• 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

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• I think the best part of JarviX is that we can get the analysis results in several minutes. We spent lots of time making reports and managing our data in the past. All in all, it helps us save the time, cost, and labor of managing data.