What users are saying about
Top Rated
41 Ratings
14 Ratings
Top Rated
41 Ratings
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Score 8.7 out of 101
14 Ratings
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Score 7.9 out of 101

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Likelihood to Recommend

Anaconda

It eats everything and everything has a wrapper or API for it. Python is lingua franca by now, more than Java.
Ayush Choukse profile photo

Microsoft R

Revolution Analytics is a very compelling product for Big Data Analytics. It allows distributed computing over multiple hadoop nodes thus allowing HDFS to do its role cleanly i.e. cheap massive storage and it does good job of running algorithms using R or similar programming language on Hadoop. It would be definitely advantage for the organization who uses either R or SAS as their statistical model development tool as Rev-R support both the platforms. Overall, very positive experience with Rev-R.
Shailesh Deshpande profile photo

Feature Rating Comparison

Data Exploration

Anaconda
7.5
Microsoft R
7.5
Visualization
Anaconda
7.0
Microsoft R
8.0
Interactive Data Analysis
Anaconda
8.0
Microsoft R
7.0

Data Preparation

Anaconda
7.0
Microsoft R
8.0
Interactive Data Cleaning and Enrichment
Anaconda
7.0
Microsoft R
8.0
Data Transformations
Anaconda
8.0
Microsoft R
8.0
Data Encryption
Anaconda
6.0
Microsoft R
Built-in Processors
Anaconda
7.0
Microsoft R
8.0

Platform Data Modeling

Anaconda
5.7
Microsoft R
8.3
Automated Machine Learning
Anaconda
4.0
Microsoft R
Single platform for multiple model development
Anaconda
7.0
Microsoft R
8.0
Self-Service Model Delivery
Anaconda
6.0
Microsoft R
8.0
Multiple Model Development Languages and Tools
Anaconda
Microsoft R
9.0

Model Deployment

Anaconda
4.5
Microsoft R
Flexible Model Publishing Options
Anaconda
5.0
Microsoft R
Security, Governance, and Cost Controls
Anaconda
4.0
Microsoft R

Platform Connectivity

Anaconda
Microsoft R
8.0
Connect to Multiple Data Sources
Anaconda
Microsoft R
8.0
Extend Existing Data Sources
Anaconda
Microsoft R
8.0
Automatic Data Format Detection
Anaconda
Microsoft R
8.0

Pros

  • Anaconda has iPython- Notebook that facilitates code writing in Python
  • It's very easy to install tour preferred the Python version
  • The risk of messing up the libraries is completely eliminated
Mauricio Quiroga-Pascal Ortega profile photo
  • It allows distributed algorithm runs on Hadoop HDFS cluster
  • It allows using different file formats such as SAS7BAT files or complex files in tab or comma delimited making data munging easier
  • It provides scalable solutions by allowing users to re-use R scripts and distributing the computing over nodes through RHadoop
Shailesh Deshpande profile photo

Cons

  • It's hard to get security updates when you leave the system packages
  • There're some PyPI packages that Anaconda doesn't have. This obligates the user to package it by herself or using pip
  • Anaconda isn't as fast as PyPI publications
Mauricio Quiroga-Pascal Ortega profile photo
  • When I reviewed the product - release D, at that time, "decision forest algorithm" was not available.
  • The tool needs to be more integrated with other data infrastructure tools such as Teradata, Informatica etc. as well as may be with new Hadoop distribution platforms such as Cloudera or Hortonworks so the users don't have to install the tool from scratch
  • I would also like to see improved capability around GUI and integration with other ecosystem. As the Big Data ecosystem would evolve in next 2-3 years, I would like to see Rev-R becoming more compatible with start-ups as well.
Shailesh Deshpande profile photo

Likelihood to Renew

No score
No answers yet
No answers on this topic
Microsoft R7.0
Based on 1 answer
In general, Revolution Analytics brings a lot of value to the organization. The renewal decision would be based on return on investment in terms of quantified actionable insights that are getting generated against the cost of the product. Additionally, market brand of the tool and reputation risk in terms of possible acquisition and its impact to overall organizational analytic strategy would be considered as well.
Shailesh Deshpande profile photo

Alternatives Considered

I have experience using RStudio oustide of Anaconda. RStudio can be installed via anaconda, but I like to use RStudio separate from Anaconda when I am worin in R. I tend to use Anaconda for python and RStudio for working in R. Although installing libraries and packages can sometimes be tricky with both RStudio and Anaconda, I like installing R packages via RStudio. However, for anything python-related, Anaconda is my go to!
Maike Holthuijzen profile photo
The two are different products for different purposes. But for someone who has little or no experience in R programming, Power BI would be better for starting with. Having said that, Microsoft R is built on R, thus allowing for customization of complex calculations not typically available otherwise.
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Return on Investment

  • It has helped our organization to work collectively faster by using Anaconda's collaborative capabilities and adding other collaboration tools over.
  • By having an easy access and immediate use of libraries, developing times has decreased more than 20 %
  • There's an enormous data scientist shortage. Since Anaconda is very easy to use, we have to be able to convert several professionals into the data scientist. This is especially true for an economist, and this my case. I convert myself to Data Scientist thanks to my econometrics knowledge applied with Anaconda.
Mauricio Quiroga-Pascal Ortega profile photo
  • Faster time-to-market on analytics and insights
  • Reduction on Level of Effort in terms of running complex algorithmm thus increased job satisfaction
  • Improved job empowerment and skills/competency re-use.
Shailesh Deshpande profile photo

Pricing Details

Anaconda

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

Microsoft R

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