What users are saying about
6 Ratings
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Score 8.3 out of 100
34 Ratings
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Score 8.6 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

Jupyter Notebook

Jupyter Notebook is well suited if you want to do exploratory data analysis, draw observations and visualizations from it. Based on your analysis and visualization it can help you make better business decisions.It is less appropriate for any kind of python development as I have mainly used it for documentation, data handling, cleaning or visualizations.
Rahul Kapoor | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

Amazon Tensor Flow
Jupyter Notebook
7.2
Connect to Multiple Data Sources
Amazon Tensor Flow
Jupyter Notebook
7.4
Extend Existing Data Sources
Amazon Tensor Flow
Jupyter Notebook
7.4
Automatic Data Format Detection
Amazon Tensor Flow
Jupyter Notebook
8.0
MDM Integration
Amazon Tensor Flow
Jupyter Notebook
6.0

Data Exploration

Amazon Tensor Flow
Jupyter Notebook
8.0
Visualization
Amazon Tensor Flow
Jupyter Notebook
8.0
Interactive Data Analysis
Amazon Tensor Flow
Jupyter Notebook
8.0

Data Preparation

Amazon Tensor Flow
Jupyter Notebook
7.0
Interactive Data Cleaning and Enrichment
Amazon Tensor Flow
Jupyter Notebook
7.2
Data Transformations
Amazon Tensor Flow
Jupyter Notebook
7.2
Data Encryption
Amazon Tensor Flow
Jupyter Notebook
6.8
Built-in Processors
Amazon Tensor Flow
Jupyter Notebook
6.7

Platform Data Modeling

Amazon Tensor Flow
Jupyter Notebook
7.8
Multiple Model Development Languages and Tools
Amazon Tensor Flow
Jupyter Notebook
8.4
Automated Machine Learning
Amazon Tensor Flow
Jupyter Notebook
7.8
Single platform for multiple model development
Amazon Tensor Flow
Jupyter Notebook
7.8
Self-Service Model Delivery
Amazon Tensor Flow
Jupyter Notebook
7.3

Model Deployment

Amazon Tensor Flow
Jupyter Notebook
7.2
Flexible Model Publishing Options
Amazon Tensor Flow
Jupyter Notebook
7.6
Security, Governance, and Cost Controls
Amazon Tensor Flow
Jupyter Notebook
6.8

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

Jupyter Notebook

  • Python
  • Markdown presentation
  • Easy to learn
  • Good organization
Jewon Ju | 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

Jupyter Notebook

  • Nicer output format for explanatory analysis.
  • Easy update on packages.
  • Better compatibility with AWS tools.
Yaxian Xie | TrustRadius Reviewer

Usability

Amazon Tensor Flow

No score
No answers yet
No answers on this topic

Jupyter Notebook

Jupyter Notebook 10.0
Based on 1 answer
Jupyter is highly simplistic. It took me about 5 mins to install and create my first "hello world" without having to look for help. The UI has minimalist options and is quite intuitive for anyone to become a pro in no time. The lightweight nature makes it even more likeable.
Anonymous | TrustRadius Reviewer

Support Rating

Amazon Tensor Flow

No score
No answers yet
No answers on this topic

Jupyter Notebook

Jupyter Notebook 9.0
Based on 1 answer
I haven't had a need to contact support. However, all required help is out there in public forums.
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

Jupyter Notebook

Anaconda uses Jupyter Notebook to run Python programs. Anaconda is a heavy IDE and installation takes time. Jupyter Notebook, being an open-source tool, allows you to edit documents with Python. Also, most online data science learning platforms use Jupyter Notebook to teach Python. It is convenient to use and embed Jupyter Notebook in websites.
Sridevi Patil | 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

Jupyter Notebook

  • It is open-source so completely free to use with regular updates
  • Helps to draw analysis, visualizations to make better decisions
  • Helped in making good business banking decisions
Rahul Kapoor | TrustRadius Reviewer

Pricing Details

Amazon Tensor Flow

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Jupyter Notebook

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
Jupyter Notebook
8.8

Usability

Amazon Tensor Flow
Jupyter Notebook
10.0

Support Rating

Amazon Tensor Flow
Jupyter Notebook
9.0

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