What users are saying about

Anaconda

Top Rated
33 Ratings

H2O

5 Ratings

Anaconda

Top Rated
33 Ratings
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Score 8.8 out of 101

H2O

5 Ratings
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Score 9.4 out of 101

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Likelihood to Recommend

Anaconda

Anaconda is a very good choice for all the beginners who are new to analytics.
SURA SREENIVASULU profile photo

H2O

Use H2O.ai whenever you need easy to use tool, when you must be cost efficient (you can not charge the client extra money for software licenses used), need a tool with lots of algorithms that are normally used in data analytics, or need to work on one machine (it is either not allowed to move data to cloud storage or simply not necessary to connect to Hadoop, etc.). Also, you can call H2O directly from Python which makes analysis more efficient.
Viktor Mulac profile photo

Pros

  • It's really easy to use and implement, something that is not always usual with this kind of software
  • One of the best things Anaconda does is managing Python libraries and packages
  • You can easily install your preferred Python version, something handy considering the differences between the diverse versions of Python
Luciana Montivero profile photo
  • 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 profile photo

Cons

  • Sometimes it takes too much time to initialize
  • Some of the packages are not already charged so you need to upload them by hand.
Luciana Montivero profile photo
  • No weaknesses found yet
  • This is not really a drawback, but rather a warning - the Drivereless AI is not a replacement for a data scientist yet, and will not replace data scientists in the next decade neither. The Driverless AI feature delivers reliable results only if the analyst is sure about the meaning of input data. The data quality is usually a major issue and no tool can detect the meaning of data in the input. Data scientists are also required for business interpretation of the findings. So be careful, and do not rely on this feature without a good understanding of what it really does in each step.
Viktor Mulac profile photo

Alternatives Considered

I have experience using RStudio oustide of Anaconda. RStudio can be installed via anaconda, but I like to use RStudio separate from Anaconda when I am worin in R. I tend to use Anaconda for python and RStudio for working in R. Although installing libraries and packages can sometimes be tricky with both RStudio and Anaconda, I like installing R packages via RStudio. However, for anything python-related, Anaconda is my go to!
Maike Holthuijzen profile photo
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 profile photo

Return on Investment

  • Centralized repository for all notebooks and analysis projects.
  • Solved for some security concerns from IT.
  • Saves money by avoiding ad-hoc computer resources for analysts.
No photo available
  • By using H2O the analyst can focus on analysis itself, not spend too much time with coding etc.
  • Reuse of algorithms and easy model sharing saves time and money
  • An easy learning curve assures low training costs
  • By moving to a paid version, even the Driverless AI, you will still need data scientists and analysts, but maybe not so many!
Viktor Mulac profile photo

Pricing Details

Anaconda

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

H2O

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