What users are saying about
Top Rated
81 Ratings
6 Ratings
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Score 8.3 out of 100
Top Rated
81 Ratings
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Score 9 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

Anaconda

Anaconda is great for academic and private organizations that cannot afford more expensive Python/R package managers. Also, it is more appropriate for intermediate to advanced Python users--Anaconda can be somewhat frustrating for beginners, as it takes some practice to get comfortable with the workflow. I find it particularly useful for working in teams, because if everyone uses the same package manager, it is easier to troubleshoot issues and makes for reproducible research. For wealthier organizations, a premium package management system (with tech support) would be ideal. Anaconda is also great for people working independently on code development.
Maike Holthuijzen | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

Amazon Tensor Flow
Anaconda
8.8
Connect to Multiple Data Sources
Amazon Tensor Flow
Anaconda
9.1
Extend Existing Data Sources
Amazon Tensor Flow
Anaconda
9.2
Automatic Data Format Detection
Amazon Tensor Flow
Anaconda
8.6
MDM Integration
Amazon Tensor Flow
Anaconda
8.3

Data Exploration

Amazon Tensor Flow
Anaconda
8.6
Visualization
Amazon Tensor Flow
Anaconda
8.7
Interactive Data Analysis
Amazon Tensor Flow
Anaconda
8.5

Data Preparation

Amazon Tensor Flow
Anaconda
8.5
Interactive Data Cleaning and Enrichment
Amazon Tensor Flow
Anaconda
8.7
Data Transformations
Amazon Tensor Flow
Anaconda
9.1
Data Encryption
Amazon Tensor Flow
Anaconda
7.7
Built-in Processors
Amazon Tensor Flow
Anaconda
8.6

Platform Data Modeling

Amazon Tensor Flow
Anaconda
8.8
Multiple Model Development Languages and Tools
Amazon Tensor Flow
Anaconda
9.4
Automated Machine Learning
Amazon Tensor Flow
Anaconda
8.3
Single platform for multiple model development
Amazon Tensor Flow
Anaconda
8.9
Self-Service Model Delivery
Amazon Tensor Flow
Anaconda
8.6

Model Deployment

Amazon Tensor Flow
Anaconda
9.1
Flexible Model Publishing Options
Amazon Tensor Flow
Anaconda
8.9
Security, Governance, and Cost Controls
Amazon Tensor Flow
Anaconda
9.2

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

Anaconda

  • First of all it is very easy to install and it is user friendly. You just download a Anaconda from its official site and you can start using it for coding (I usually code using Jupiter Notebook) Compared to Pycharm it is easier navigate in Anaconda(Jupiter Notebook)
  • For me it is a best environment to use if I have small projects. Jupiter Notebook is running tasks much faster compared to Pycharm and other IDE's.
  • In my work I usually need different scientific packages that are not commonly used. As Anaconda have thousands of libraries it helps me making my job easier
Tigran Petrosyan | 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

Anaconda

  • Anaconda could greatly benefit by integrating with Git and other versioning software.
  • The software's default installation is relatively bloated, slower on older machines, and could be improved by allowing for a lean default installation environment.
  • Anaconda has an issue with supporting the current version of Computer-Vision, a commonly used machine learning package.
Ryan McGarry | TrustRadius Reviewer

Likelihood to Renew

Amazon Tensor Flow

No score
No answers yet
No answers on this topic

Anaconda

Anaconda 7.0
Based on 1 answer
It's really good at data processing, but needs to grow more in publishing in a way that a non-programmer can interact with. It also introduces confusion for programmers that are familiar with normal Python processes which are slightly different in Anaconda such as virtualenvs.
Matthew Deakyne | TrustRadius Reviewer

Usability

Amazon Tensor Flow

No score
No answers yet
No answers on this topic

Anaconda

Anaconda 8.9
Based on 2 answers
The interface is an easy to use command-line interface, or a GUI for launching and/or discovering different parts of the system.
Juande Santander-Vela | TrustRadius Reviewer

Support Rating

Amazon Tensor Flow

No score
No answers yet
No answers on this topic

Anaconda

Anaconda 8.9
Based on 16 answers
There is a lot of sources to get support for Anaconda based on the large data scientist or data engineer user community. Whenever you need something, you can type it in Google search, and you can find out people who had a similar problem and the solution for it.
Xiaotong Song | 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

Anaconda

ANACONDA VS Alteryx Analytics: Even though I find Alteryx to be an excellent tool for managing extremely massive data, Anaconda is much better and easy for analytics.Anaconda VS. MicroStrategy Analytics: Compared with Anaconda, MicroStrategy Analytics is very difficult to use and counter-intuitiveAnaconda VS. Power BI For Office 365: One of the main advantages of BI for Office 364 is its capacity to data connectivity. However, it's very hard to edit data connections, once BI for Office is deployed in other platforms
Mauricio Quiroga-Pascal Ortega | 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

Anaconda

  • We can get any new employee set-up on Python for Machine learning in minutes, without any assistance from IT. That's real $ savings.
  • We started to experiment with Machine Learning a lot more, which leads to creating new projects which can have a tremendous impact on the business.
Anonymous | TrustRadius Reviewer

Pricing Details

Amazon Tensor Flow

General

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

Amazon Tensor Flow Editions & Modules

Additional Pricing Details

Anaconda

General

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

Anaconda Editions & Modules

Edition
Commercial Edition14.951
Team Edition$10,000
Enterprise EditionContact for quote
  1. per month
Additional Pricing Details

Rating Summary

Likelihood to Recommend

Amazon Tensor Flow
9.0
Anaconda
9.0

Likelihood to Renew

Amazon Tensor Flow
Anaconda
7.0

Usability

Amazon Tensor Flow
Anaconda
8.9

Support Rating

Amazon Tensor Flow
Anaconda
8.9

Add comparison