What users are saying about
9 Ratings
6 Ratings
9 Ratings
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Score 6.3 out of 100
6 Ratings
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Score 8.5 out of 100

Likelihood to Recommend

DataRobot

DataRobot is equipped to serve both cloud computing and on-premise work. Its comprehensive cloud module, channeled through Amazon sustains highly flexible machine learning programs. Lower than average costs are provided via cloud networking because there is no need to install hardware and the additional pricing that comes along with that. DataRobot assists in eliminating hassle by offering various methods of deployment in regard to predictive modeling. The program may not be appropriate for smaller startups of 20 or fewer employees, mainly because the exportable prediction code, and native batch scoring may not translate as well to a smaller firm.
Anonymous | TrustRadius Reviewer

H2O

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.
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

DataRobot
H2O
8.0
Connect to Multiple Data Sources
DataRobot
H2O
8.0
Automatic Data Format Detection
DataRobot
H2O
8.0

Data Exploration

DataRobot
H2O
8.5
Visualization
DataRobot
H2O
8.0
Interactive Data Analysis
DataRobot
H2O
9.0

Data Preparation

DataRobot
H2O
9.3
Interactive Data Cleaning and Enrichment
DataRobot
H2O
10.0
Data Transformations
DataRobot
H2O
9.0
Built-in Processors
DataRobot
H2O
9.0

Platform Data Modeling

DataRobot
H2O
10.0
Multiple Model Development Languages and Tools
DataRobot
H2O
10.0
Automated Machine Learning
DataRobot
H2O
10.0
Single platform for multiple model development
DataRobot
H2O
10.0
Self-Service Model Delivery
DataRobot
H2O
10.0

Model Deployment

DataRobot
H2O
9.0
Flexible Model Publishing Options
DataRobot
H2O
10.0
Security, Governance, and Cost Controls
DataRobot
H2O
8.0

Pros

DataRobot

  • The interface is easy to use and self-service, with intuitive design.
  • The product is easy to use for data analysts and business users without having to be a data scientist, but if you are one the product is robust, so data scientists can also get some use.
  • All of the screens have explanations of all data points, models, and this makes it easy to provide explanations at the executive level and can easily modify models on the fly.
Jerry Gage-Anderson | TrustRadius Reviewer

H2O

  • 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
Viktor Mulac | TrustRadius Reviewer

Cons

DataRobot

  • Oversold the capabilities.
  • Lack of strong signals in results.
  • Requires heavy engineering support for integration.
Shanna Tellerman | TrustRadius Reviewer

H2O

  • Better documentation
  • Improve the Visual presentations including charting etc
Anonymous | TrustRadius Reviewer

Likelihood to Renew

DataRobot

DataRobot 10.0
Based on 1 answer
DataRobot presents a machine-learning platform designed by data scientists from an array of backgrounds, to construct and develop precise predictive modeling in a fraction of the time previously taken. The tech invloved addresses the critical shortage of data scientists by changing the speed and economics of predictive analytics. DataRobot utilizes parallel processing to evaluate models in R, Python, Spark MLlib, H2O and other open source databases. It searches for possible permutations and algorithms, features, transformation, processes, steps and tuning to yield the best models for the dataset and predictive goal.
Anonymous | TrustRadius Reviewer

H2O

No score
No answers yet
No answers on this topic

Support Rating

DataRobot

DataRobot 5.3
Based on 2 answers
We were unable to make use of the software without a lot of investment on our side. While their team reaches out frequently the software is not designed for companies with smaller data sets and this should have been reviewed before the contract was signed and not after. Their team is available to support your existing team but they cannot make the software work if it's not applied to the right size data set or the right problems. I highly recommend uncovering these issues before signing a contract.
Shanna Tellerman | TrustRadius Reviewer

H2O

H2O 9.0
Based on 1 answer
The overall experience I have with H2O is really awesome, even with its cost effectiveness.
Anonymous | TrustRadius Reviewer

Alternatives Considered

DataRobot

No competition, especially with data enablement services offered through DataRobot. The self-service and intuitive screens with explanations can’t be beat in DataRobot.
Jerry Gage-Anderson | TrustRadius Reviewer

H2O

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.
Viktor Mulac | TrustRadius Reviewer

Return on Investment

DataRobot

  • DataRobot can run multiple experiments at the same time. This helps to minimize time spent on any given experiment.
  • DataRobot helps to get rid of bottlenecks by yielding various ways to enact completed models of prediction.
  • I consider the Return on Investment high. APIs for real-time scoring have saved us many dollars and time.
Anonymous | TrustRadius Reviewer

H2O

  • 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
Anonymous | TrustRadius Reviewer

Pricing Details

DataRobot

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

H2O

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Rating Summary

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