What users are saying about
10 Ratings
6 Ratings
10 Ratings
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Score 7.7 out of 100
6 Ratings
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Score 8.5 out of 100

Likelihood to Recommend

Dataiku DSS

For team(s) with varying levels of coding skills, the platform offers a one size fit all for most data analytics and machine learning projects that are of practical use in industrial settings (e.g. time series forecasting, predictive maintenance and production optimization). In research and development work, where projects are cutting edge and no out of the box solutions are available, then platform is of minimal use, since custom data ingestion and manipulation may be required.
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

Dataiku DSS
8.5
H2O
8.0
Connect to Multiple Data Sources
Dataiku DSS
9.5
H2O
8.0
Extend Existing Data Sources
Dataiku DSS
9.0
H2O
Automatic Data Format Detection
Dataiku DSS
9.0
H2O
8.0
MDM Integration
Dataiku DSS
6.5
H2O

Data Exploration

Dataiku DSS
8.3
H2O
8.5
Visualization
Dataiku DSS
8.5
H2O
8.0
Interactive Data Analysis
Dataiku DSS
8.0
H2O
9.0

Data Preparation

Dataiku DSS
7.5
H2O
9.3
Interactive Data Cleaning and Enrichment
Dataiku DSS
8.5
H2O
10.0
Data Transformations
Dataiku DSS
8.5
H2O
9.0
Data Encryption
Dataiku DSS
6.0
H2O
Built-in Processors
Dataiku DSS
7.0
H2O
9.0

Platform Data Modeling

Dataiku DSS
6.6
H2O
10.0
Multiple Model Development Languages and Tools
Dataiku DSS
7.0
H2O
10.0
Automated Machine Learning
Dataiku DSS
6.5
H2O
10.0
Single platform for multiple model development
Dataiku DSS
6.5
H2O
10.0
Self-Service Model Delivery
Dataiku DSS
6.5
H2O
10.0

Model Deployment

Dataiku DSS
6.8
H2O
9.0
Flexible Model Publishing Options
Dataiku DSS
6.5
H2O
10.0
Security, Governance, and Cost Controls
Dataiku DSS
7.0
H2O
8.0

Pros

Dataiku DSS

  • Very intuitive and easy to use UI, making a lot of types of users can collaborate with each other easily, by visualizing the same workflow.
  • Many building blocks can be reused immediately, avoid a lot of non-standard boiler plate implementation.
  • Data pre-analysis and feature engineering assistance increase the productivity as well as the efficiency of data scientists.
  • Many data connectors support wide range of data storage, from SQL, TeraData, Hadoop Hive, etc.
  • Support from research till final MaaS solution deployment.
Anonymous | 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

Dataiku DSS

  • End product deployment.
Anonymous | TrustRadius Reviewer

H2O

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

Support Rating

Dataiku DSS

Dataiku DSS 8.5
Based on 2 answers
The support team is very helpful, and even when we discover the missing features, after providing enough rational reasons and requirements, they put into it their development pipeline for the future release.
Anonymous | 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

Dataiku DSS

Open source availability is a critical factor given licensing cost of other platforms and budget reasons. Secondly, the available features in the community version covers most of the use cases, thus making it comparable or even outdo commercial versions of other software. Finally, being able to install and deploy platform in a plug and play mode really accelerates its adoption across wider audience.
Anonymous | 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

Dataiku DSS

  • Dataiku provides a consistent platform, covering almost all needs from the data analytic till AI/ML areas.
  • This platform "glues" all departments and business flows and IT data source together, making the data more exploitative.
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

Dataiku DSS

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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