H2O AutoML superb!!
September 18, 2019

H2O AutoML superb!!

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with H2O

We use H2O.ai for building End to End auto pipelines for machine learning models. It has massively good support with big data. For that we use H2O's Sparkling Water. As far as I have experienced, H2O gives the highest accuracy among all other autoML tools. I have used it in our one of the projects and I had to deliver in just 1 week. Building an ML model with H2O, as well as fast training and auto tuning, helped me a lot.
  • AutoML
  • Bigdata support with H2O's Sparkling Water
  • more state of the art algorithm can be added
  • Containerization facilities like Docker should be given
I have used Knime, RapidMiner, and Weka before I heard about H2O, but amongst all I really liked H2O. However, nowadays Googles AutoML and AWS SageMaker AutoML platform are really competitive, but more costly than H2O.
The overall experience I have with H2O is really awesome, even with its cost effectiveness.

Do you think H2O delivers good value for the price?

Yes

Are you happy with H2O's feature set?

Yes

Did H2O live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of H2O go as expected?

Yes

Would you buy H2O again?

Yes

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.

H2O Feature Ratings

Connect to Multiple Data Sources
8
Automatic Data Format Detection
8
Visualization
8
Interactive Data Analysis
9
Interactive Data Cleaning and Enrichment
10
Data Transformations
9
Built-in Processors
9
Multiple Model Development Languages and Tools
10
Automated Machine Learning
10
Single platform for multiple model development
10
Self-Service Model Delivery
10
Flexible Model Publishing Options
10
Security, Governance, and Cost Controls
8