What users are saying about
7 Ratings
6 Ratings
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Score 8.3 out of 100
7 Ratings
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Score 9.1 out of 100

Likelihood to Recommend

Amazon Tensor Flow

A well-suited scenario for using AWS Tensor Flow is when having a project with a geographically dispersed team, a client overseas and large data to use for training. AWS Tensor Flow is less appropriate when working for clients in regions where it hasn't been allowed yet for use. Since smaller clients are in regions where AWS Tensor Flow hasn't been allowed for use, and those clients traditionally don't have enough hardware, this situation deters a wider use of the tool.
Mauricio Quiroga-Pascal Ortega | 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

Amazon Tensor Flow
H2O
8.0
Connect to Multiple Data Sources
Amazon Tensor Flow
H2O
8.0
Automatic Data Format Detection
Amazon Tensor Flow
H2O
8.0

Data Exploration

Amazon Tensor Flow
H2O
8.5
Visualization
Amazon Tensor Flow
H2O
8.0
Interactive Data Analysis
Amazon Tensor Flow
H2O
9.0

Data Preparation

Amazon Tensor Flow
H2O
9.3
Interactive Data Cleaning and Enrichment
Amazon Tensor Flow
H2O
10.0
Data Transformations
Amazon Tensor Flow
H2O
9.0
Built-in Processors
Amazon Tensor Flow
H2O
9.0

Platform Data Modeling

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

Model Deployment

Amazon Tensor Flow
H2O
9.0
Flexible Model Publishing Options
Amazon Tensor Flow
H2O
10.0
Security, Governance, and Cost Controls
Amazon Tensor Flow
H2O
8.0

Pros

Amazon Tensor Flow

  • Amazon Elastic Compute Cloud (EC2) allows resizable compute capacity in the cloud, providing the necessary elasticity to provide services for both, small and medium-sized businesses.
  • Tensor Flow allows us to train our models much faster than in our on-premise equipment.
  • Most of the pre-trained models are easy to adapt to our clients' needs.
Mauricio Quiroga-Pascal Ortega | 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

Amazon Tensor Flow

  • SageMaker isn't available in all regions. This is complicated for some clients overseas.
  • For larger instances, when using a GPU, it takes a while to talk to a customer service representative to ask for a limit increase. Given this, it's recommendable to ask in advance for a limit increase in more expensive and larger cases; otherwise, SageMaker will set the limit to zero by default.
  • Since the data has to be stored in S3 and copied to training, it doesn't allow to test and debug locally. Therefore, we have to wait a lot to check everything after every trail.
Mauricio Quiroga-Pascal Ortega | TrustRadius Reviewer

H2O

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

Support Rating

Amazon Tensor Flow

No score
No answers yet
No answers on this topic

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

Amazon Tensor Flow

Microsoft Azure is better than Amazon Tensor Flow because it provides easier and pre-built capabilities such as Anomaly Detection, Recommendation, and Ranking.AWS is better than IBM Watson ML Studio because it has direct and prebuilt clustering capabilities AWS, like IBM Watson ML Studio, has powerful built-in algorithms, providing a stronger platform when comparing it with MS Azure ML Services and Google ML Engine.
Mauricio Quiroga-Pascal Ortega | 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

Amazon Tensor Flow

  • Positive: It has allowed us to work with our overseas teams without any large hardware investing.
  • Positive: Pre-trained models significantly reduce the time to develop solutions for our clients.
  • Negative: Since it's a relatively new tool, you have to be careful about not paying for large errors while learning to use the tool.
Mauricio Quiroga-Pascal Ortega | 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

Amazon Tensor Flow

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

Likelihood to Recommend

Amazon Tensor Flow
9.0
H2O
8.2

Support Rating

Amazon Tensor Flow
H2O
9.0

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