What users are saying about
Top Rated
81 Ratings
Top Rated
81 Ratings
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Score 9 out of 100
20 Ratings
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Score 6.8 out of 100

Likelihood to Recommend

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

Azure Machine Learning Studio

For [a] data scientist require[d] to build a machine learning model, so he/she didn't worry about infrastructure to maintain it.
All kind of feature[s] such as train, build, deploy and monitor the machine learning model available in a single suite.
If someone has [their] own environment for ML studio, so there [it would] not [be] useful for them.
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

Anaconda
8.8
Azure Machine Learning Studio
Connect to Multiple Data Sources
Anaconda
9.1
Azure Machine Learning Studio
Extend Existing Data Sources
Anaconda
9.2
Azure Machine Learning Studio
Automatic Data Format Detection
Anaconda
8.6
Azure Machine Learning Studio
MDM Integration
Anaconda
8.3
Azure Machine Learning Studio

Data Exploration

Anaconda
8.6
Azure Machine Learning Studio
Visualization
Anaconda
8.7
Azure Machine Learning Studio
Interactive Data Analysis
Anaconda
8.5
Azure Machine Learning Studio

Data Preparation

Anaconda
8.5
Azure Machine Learning Studio
Interactive Data Cleaning and Enrichment
Anaconda
8.7
Azure Machine Learning Studio
Data Transformations
Anaconda
9.1
Azure Machine Learning Studio
Data Encryption
Anaconda
7.7
Azure Machine Learning Studio
Built-in Processors
Anaconda
8.6
Azure Machine Learning Studio

Platform Data Modeling

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

Model Deployment

Anaconda
9.0
Azure Machine Learning Studio
Flexible Model Publishing Options
Anaconda
8.9
Azure Machine Learning Studio
Security, Governance, and Cost Controls
Anaconda
9.2
Azure Machine Learning Studio

Pros

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

Azure Machine Learning Studio

  • User friendliness: This is by far the most user friendly tool I've seen in analytics. You don't need to know how to code at all! Just create a few blocks, connect a few lines and you are capable of running a boosted decision tree with a very high R squared!
  • Speed: Azure ML is a cloud based tool, so processing is not made with your computer, making the reliability and speed top notch!
  • Cost: If you don't know how to code, this is by far the cheapest machine learning tool out there. I believe it costs less than $15/month. If you know how to code, then R is free.
  • Connectivity: It is super easy to embed R or Python codes on Azure ML. So if you want to do more advanced stuff, or use a model that is not yet available on Azure ML, you can simply paste the code on R or Python there!
  • Microsoft environment: Many many companies rely on the Microsoft suite. And Azure ML connects perfectly with Excel, CSV and Access files.
Gabriel Chiararia | TrustRadius Reviewer

Cons

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

Azure Machine Learning Studio

  • It would be great to have text tips that could ease new users to the platform, especially if an error shows up
  • Scenario-based documentation
  • Pre-processing of modules that had been previously run. Sometimes they need to be re-run for no apparent reason
Anonymous | TrustRadius Reviewer

Likelihood to Renew

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

Azure Machine Learning Studio

Azure Machine Learning Studio 7.0
Based on 1 answer
No answer on this topic is available.

Usability

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

Azure Machine Learning Studio

Azure Machine Learning Studio 7.0
Based on 2 answers
Easy and fastest way to develop, test, deploy and monitor the machine learning model.
- Easy to load the data set
-Drag and drop the process of the Machine learning life cycle.
Anonymous | TrustRadius Reviewer

Support Rating

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

Azure Machine Learning Studio

Azure Machine Learning Studio 6.1
Based on 2 answers
Support is nonexistent. It's very frustrating to try and find someone to actually talk to. The robot chatbots are just not well trained.
Anonymous | TrustRadius Reviewer

Implementation Rating

Anaconda

No score
No answers yet
No answers on this topic

Azure Machine Learning Studio

Azure Machine Learning Studio 8.0
Based on 1 answer
Anonymous | TrustRadius Reviewer

Alternatives Considered

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

Azure Machine Learning Studio

It is easier to learn, it has a very cost effective license for use, it has native build and created for Azure cloud services, and that makes it perfect when compared against the alternatives. As a Microsoft tool, it has been built to contain many visual features and improved usability even for non-specialist users.
Anonymous | TrustRadius Reviewer

Return on Investment

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

Azure Machine Learning Studio

  • Productivity: Instead of coding and recoding, Azure ML helped my organization to get to meaningful results faster;
  • Cost: Azure ML can save hundreds (or even thousands) of dollars for an organization, since the license costs around $15/month per seat.
  • Focus on insights and not on statistics: Since running a model is so easy, analysts can focus more on recommendations and insights, rather than statistical details
Gabriel Chiararia | TrustRadius Reviewer

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

Azure Machine Learning Studio

General

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

Azure Machine Learning Studio Editions & Modules

Edition
Studio Pricing - Free$0.001
Studio Pricing - Standard$9.992
Production Web API - Dev/Test$0.003
Production Web API - Standard S1$100.133
Production Web API - Standard S2$1000.063
Production Web API - Standard S3$9999.983
  1. per month
  2. per ML studio workspace/per month
  3. per month
Additional Pricing Details

Rating Summary

Likelihood to Recommend

Anaconda
9.0
Azure Machine Learning Studio
6.7

Likelihood to Renew

Anaconda
7.0
Azure Machine Learning Studio
7.0

Usability

Anaconda
8.9
Azure Machine Learning Studio
7.0

Support Rating

Anaconda
8.9
Azure Machine Learning Studio
6.1

Implementation Rating

Anaconda
Azure Machine Learning Studio
8.0

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