What users are saying about
8 Ratings
5 Ratings
8 Ratings
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Score 9.3 out of 100
5 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>
Score 7.6 out of 100

Likelihood to Recommend

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

Paxata

Paxata can be highly useful to someone who doesn't like/have any experience with writing codes to treat data before using it as input into BI dashboards. Paxata can accelerate data cleaning in environments where a large amount of unclean data is generated and business decisions on the go are required. It performs really well while dealing with natural language.
Ipsit Pradhan | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

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

Data Exploration

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

Data Preparation

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

Platform Data Modeling

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

Model Deployment

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

Pros

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

Paxata

  • Visualize distributions in large data sets effectively which enable the user to quickly spot outliers and treat them appropriately
  • Provides recommendation to merge datasets based on matching column values
  • The cluster and edit feature in my opinion is its most powerful feature and reduces cardinality in column with text
Ipsit Pradhan | TrustRadius Reviewer

Cons

H2O

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

Paxata

  • Doesn't provide recommendation on how to impute values
  • There is a lag quite often
  • We can say whether a column has errors or quality issues in the first look
Ipsit Pradhan | TrustRadius Reviewer

Support Rating

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

Paxata

No score
No answers yet
No answers on this topic

Alternatives Considered

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

Paxata

Paxata is a much better tool when it comes to handling natural language but Talend provides recommendations on how to impute missing values and outliers. Paxata provides recommendations on dataset tie-ups and joins but Talend doesn't provide any such recommendations. In paxata you can visualize distribution of data in a column and filter them by dragging and selecting the section you'd like to retain
Ipsit Pradhan | TrustRadius Reviewer

Return on Investment

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

Paxata

  • It saves time to clean data
  • It reduces the requirement of too many data engineer/stewards and hence adds positive impact on the return of the business
Ipsit Pradhan | TrustRadius Reviewer

Pricing Details

H2O

General

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

Paxata

General

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

Rating Summary

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