What is better H2O Driverless AI or Cloud Machine Learning Engine? The ideal AI Software is a product that can address your company’s unique demands. It is possible to determine which choice is best suited for your business if you assess numerous products before you decide which one is the best.
For instance, H2O Driverless AI and Cloud Machine Learning Engine are scored at 8.7 and 9.6, respectively, for total quality and performance. Similarly, H2O Driverless AI and Cloud Machine Learning Engine have a user satisfaction rating of 100% and 90%, respectively, which indicates the general satisfaction they get from customers. Moreover, talk to an existing customer of the software and ask for their feedback concerning the solution in question.
As of now, the most significant services in our AI Software category are: Azure Machine Learning Studio, Salesforce Einstein, Google Vertex AI.
Driverless AI is a commercially licensed product. More information about enterprise pricing plans and advanced solutions are available from the official support.
Cloud Machine Learning Engine is available in a free-to-use edition and a paid edition. The following is a summary of enterprise pricing plans for the paid version. Give the details a look, and select the best plan for your business.
Cloud Machine Learning Engine integrates with the following business systems and applications.
Google Cloud Storage
Google BigQuery
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Airbus Defense & Space
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
email
phone
live support
training
tickets
General Info
A cloud-based predictive analytics modeling platform for data of all sizes. Its deep learning capabilities enables it to run any type of TensorFlow model and design machine learning models. Cloud Machine Learning Engine is also integrated with Google Dataflow, thus allowing access to Google BigQuery and Google Storage.
In case you are still having second thoughts about which software will be best for your business it might be a sound idea to analyze each service’s social metrics. These metrics are frequently an indicator of how popular every software is and how big is its online presence.For instance, if you check H2O Driverless AI LinkedIn account you’ll find out that they are followed by 5129 users. In case of Cloud Machine Learning Engine the amount of followers on their LinkedIn page is 103067.
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