They developed top-quality open source tools, including the H2O-3 and AutoML families. I do not have a license for their Driverless AI, but my experience with it through tutorials and other demos has been superb. I should mention that their efforts to develop frameworks for ML interpretability are spot on, and their learning center is shaping up as a valuable resource to the community in general. The interfaces with R and Python enable a smooth transition of pre-existing workflows into the H2O framework. Review collected by and hosted on G2.com.
Somewhat cryptic debugging msgs in H2O-3. They support specific packages for manipulating data (data.table in R, datataable in Python) for the sake of speed and big data maneuverability, although many users may find this limiting. Driverless AI may not be affordable to the small fish in the pond. Review collected by and hosted on G2.com.
Excellent support for commercial product Driverless AI. Rapid iteration. Performance is generally better than one can be achieved in code. Review collected by and hosted on G2.com.
Actually nothing. The combination of proprietary and open source tools, Driverless AI and H2O, provide tools across a full range of use cases. Review collected by and hosted on G2.com.
Easy to use with good UI design and automated ML function. Driverless AI has strong capability on the auto feature engineering and system visualization. The auto feature engineering has supported different machine learning algorithm (Random Forest, Decision Tree, Neural Network, Deep Learning, etc.) and feature parameter tuning (accuracy, time, system computing etc.) The system also helps user to reduce time and efforts for hyparemeter tuning and compare the model with different settings. This will optimize the process and provide the most efficient model for prediction in classification or regression domain. Besides, Driverless AI also has good UI design and visualization. The UI also supports end user to quickly import data, visualize data in different categories, as well as check on the system running and performance during the Auto ML process. The end user could also observe experiment summary and accuracy matrix, as well as model comparison in term of accuracy.
In addition, Driverless AI also supports the AI Interpretation to explain on the model and performance. This function is very helpful to end user for understanding the Machine Learning blackbox, as well as management team for decision making based on extensive information. Review collected by and hosted on G2.com.
It is great if Driverless AI could support deployment for edge computing, which is common in IoT world. The edge computing will require efficient computing and good accuracy with AutoML algorithm. This will help much the customer for deployment. Review collected by and hosted on G2.com.
h2o offers a well validated, fully automated, rigorous machine learning pipeline including state of the art model interpretation allowing for prediction and inferences. Review collected by and hosted on G2.com.
i have nothing dislike about h2o's products. Review collected by and hosted on G2.com.
The ability to try out multiple models with a few lines of the code is the greatest benefit Review collected by and hosted on G2.com.
H20 does a good job in abstraction of underlying transformation and tuning steps, which could be a bit challenging Review collected by and hosted on G2.com.
I find it most helpful that it provides GUI for users to estimate how long the model will run as well as the water meter showing how the resources are used along the modeling process. Review collected by and hosted on G2.com.
H2O Frames have very limited data processing options compared to python pandas or pyspark dataframes. If we can have more data maneuverability, I think it would help a lot. Review collected by and hosted on G2.com.
The best part of H2O.ai is its ease of use and seamless UI. Review collected by and hosted on G2.com.
One downside of H2O.ai is, as with many services, its bugs which do not return human-readable debugging statements. Review collected by and hosted on G2.com.
This is a cross-platform, integrated framework for ML that is continuing to evolve with topics important to data scientists. Review collected by and hosted on G2.com.
Developing support for a wide range of NLP preprocessing Review collected by and hosted on G2.com.
Good integration between development and production. Simple and powerful visual interface to complex backend. Very rapid iteration of products, continuous improvement. Review collected by and hosted on G2.com.
Price is high for closed source product, Driverless AI. It's worth it if you have a serious application, but the cost is an impediment to early adoption. Review collected by and hosted on G2.com.
Being a user I really enjoyed the support and dedication that team shown to help us is really great! Review collected by and hosted on G2.com.
H2O should stay ahead of the curve to give support to new technology stacks like databricks. Review collected by and hosted on G2.com.
H2O provides DriverlessAI for an efficient AutoML platform and effective UI tools for data scientist and end-user. Review collected by and hosted on G2.com.
DriverlessAI could provide more use-cases in Manufacturing domain. Review collected by and hosted on G2.com.
the tool itself is very intuitive and easy to use.
installation is quick.
porting to R and Python options are nice to haves. Review collected by and hosted on G2.com.
there isn't much visibility into how h2o is better in using each algorithm. Review collected by and hosted on G2.com.
It's a great tool for really quick prototyping. Easy to build pretty complex models fast and test the results on datasets. It allows you to test various models before you decide which you want to fine tune. Good python support as well. Review collected by and hosted on G2.com.
Documentation can be improved especially with how to integrate with python. Review collected by and hosted on G2.com.
I met h2o.ai with Gartner Magic Quadrant. It's great ML platform with it's extensive built-in library. Review collected by and hosted on G2.com.
Price architecture is confusing a bit. Also we'd like to see more use cases and customer stories for marketing applications. Review collected by and hosted on G2.com.
Le moteur steam AI: une plate-forme de bout en bout qui rationalise l'ensemble du processus de création et de déploiement d'applications intelligentes il est rapide Review collected by and hosted on G2.com.
Certain beug et ralentissement qui sont tres gênent Review collected by and hosted on G2.com.