What users are saying about

Anaconda

Top Rated
33 Ratings

Microsoft R

10 Ratings

Anaconda

Top Rated
33 Ratings
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Score 8.8 out of 101

Microsoft R

10 Ratings
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Score 7.5 out of 101

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Likelihood to Recommend

Anaconda

If your organization is reliant on Machine Learning to solve real world business problems, Anaconda is very well suited for that need. It can be a bit of a pain to install all the necessary dependencies for Python to do Machine Learning. Anaconda takes care of all the installation of appropriate libraries. If you're organization is reliant on GitHub or other code repositories, it's a bit cumbersome to have that in Anaconda, so it might not be the solution for you.
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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

Pros

  • Anaconda (i.e. Python with lots of packages and the fabulous iPython/Jupyter Notebook) does analytics well. In analytics, or "data science" or whatever buzzword, you have to pick your poison: Python, R, or SAS. Python is the only one that's good at doing other things as well.
  • Like visualization...The quality of the built in types of scientific visualization in Python vs. R and their aesthetics is up for grabs. However, Python can do a whole lot of different kinds of visualization above and beyond R. Similarly, JavaScript probably can do more/better visualization than Python, but it's not meant for analytics. Anaconda has enough visualization packages to get you started.
Alexander Lubyansky 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

  • Sometimes it takes too much time to initialize
  • Some of the packages are not already charged so you need to upload them by hand.
Luciana Montivero 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

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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

Simple story. I tried both. Canopy felt somehow unintuitive to use.
Alexander Lubyansky profile photo
My understanding is Revolution Analytics Enterprise version is not cheap. Thus alternatives for the software could be Hadoop/HDFS level programming using Python and Mahout to achieve same distributed computing. Additionally, Cloudera is coming up with new data science tool called Oryx, which could be competitor to Rev-R. But, the tool selection at every organization would depend on the strategy and cost that is budgeted.
Shailesh Deshpande profile photo

Return on Investment

  • We save a lot of programming time, since all the add-ons are in the same environment.
  • Being multiplatform, Anaconda is perfect for work teams with many people, since it supports all operating systems.
  • The only negative thing that can happen is that at first, the way of working in Anaconda can be a bit confusing. Once passed the learning period, its daily use is very comfortable.
Alejandro Daniel Copati 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