Anaconda vs. SAS Enterprise Guide

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Anaconda
Score 8.6 out of 10
N/A
Anaconda provides access to the foundational open-source Python and R packages used in modern AI, data science, and machine learning. These enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness open-source for competitive advantage and research. Anaconda also provides enterprise-grade security to open-source software through the Premium Repository.
$0
per month
SAS Enterprise Guide
Score 9.6 out of 10
N/A
SAS Enterprise Guide is a menu-driven, Windows GUI tool for SAS.N/A
Pricing
AnacondaSAS Enterprise Guide
Editions & Modules
Free Tier
$0
per month
Starter Tier
$9
per month
Business Tier
$50
per month per user
Enterprise Tier
60.00+
per month per user
No answers on this topic
Offerings
Pricing Offerings
AnacondaSAS Enterprise Guide
Free Trial
NoNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
AnacondaSAS Enterprise Guide
Considered Both Products
Anaconda

No answer on this topic

SAS Enterprise Guide
Chose SAS Enterprise Guide
Although not used in the enterprise, I have used Anaconda Python to shape and cleanse data from Excel reports that was too difficult for SAS to complete. The object oriented nature and the Pandas package made ingestion of the data and reshaping more useful in this use case. Anac…
Chose SAS Enterprise Guide
Of the software tools I have tried, SAS Enterprise Guide is my preferred choice because of the efficiency of processing, the line-by-line processing, the ease of writing code, and the customer support. SAS appears to have put lots of effort into making SAS Enterprise Guide one …
Top Pros
Top Cons
Features
AnacondaSAS Enterprise Guide
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Anaconda
9.4
24 Ratings
11% above category average
SAS Enterprise Guide
-
Ratings
Connect to Multiple Data Sources9.722 Ratings00 Ratings
Extend Existing Data Sources8.923 Ratings00 Ratings
Automatic Data Format Detection9.621 Ratings00 Ratings
MDM Integration9.514 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Anaconda
9.2
24 Ratings
9% above category average
SAS Enterprise Guide
-
Ratings
Visualization9.624 Ratings00 Ratings
Interactive Data Analysis8.923 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Anaconda
9.4
25 Ratings
13% above category average
SAS Enterprise Guide
-
Ratings
Interactive Data Cleaning and Enrichment8.823 Ratings00 Ratings
Data Transformations9.625 Ratings00 Ratings
Data Encryption9.719 Ratings00 Ratings
Built-in Processors9.520 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Anaconda
9.3
23 Ratings
9% above category average
SAS Enterprise Guide
-
Ratings
Multiple Model Development Languages and Tools9.622 Ratings00 Ratings
Automated Machine Learning8.821 Ratings00 Ratings
Single platform for multiple model development8.923 Ratings00 Ratings
Self-Service Model Delivery9.618 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Anaconda
9.5
20 Ratings
10% above category average
SAS Enterprise Guide
-
Ratings
Flexible Model Publishing Options9.520 Ratings00 Ratings
Security, Governance, and Cost Controls9.519 Ratings00 Ratings
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User Ratings
AnacondaSAS Enterprise Guide
Likelihood to Recommend
9.5
(37 ratings)
5.3
(9 ratings)
Likelihood to Renew
7.0
(1 ratings)
8.0
(1 ratings)
Usability
9.0
(2 ratings)
5.0
(2 ratings)
Support Rating
8.9
(9 ratings)
5.3
(5 ratings)
Implementation Rating
-
(0 ratings)
7.0
(1 ratings)
User Testimonials
AnacondaSAS Enterprise Guide
Likelihood to Recommend
Anaconda
As a Data Analyst, it is my job to analyze large datasets using complex mathematical models. Anaconda provides a one-stop destination with tools like PyCharm, Jupyter, Spyder, and RStudio. One case where it is well suited is for someone who has just started his/her career in this field. The ability to install Anaconda requires zero to little skills and its UI is a lot easier for a beginner to try. On the other hand, for a professional, its ability to handle large data sets could be improved. From my experience, it has happened a lot that the system would crash with big files.
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SAS
SAS Enterprise Guide is good at taking various datasets and giving analyst/user ability to do some transformations without substantial amounts of code. Once the data is inside SAS, the memory of it is very efficient. Using SAS for data analysis can be helpful. It will give good statistics for you, and it has a robust set of functions that aid analysis.
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Pros
Anaconda
  • It provides easy access to software like Jupyter, Spyder, R and QT Console etc.
  • Easy installation of Anaconda even without much technical knowledge.
  • Easy to navigate through files in Jupyter and also to install new libraries.
  • R Studio in Anaconda is easy to use for complex machine learning algorithms.
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SAS
  • I think the most useful aspect of SAS Enterprise Guide is the ability to use a point-and-click interface to create graphics, transform data, and perform statistics. The best part is that SAS Enterprise Guide creates base SAS code from the process, making it easy to reproduce analyses.
  • SAS Enterprise Guide makes creating summary statistics about as easy as it gets. If one doesn't know proc means or proc tabulate, one can use SAS Enterprise Guide instead.
  • The time-series forecasting procedures within SAS Enterprise Guide produce fairly good results. SAS Enterprise Guide makes time-series model comparisons relatively straight-forward.
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Cons
Anaconda
  • Although I have generally had positive experiences with Anaconda, I have had trouble installing specific python libraries. I tried to remedy the solution by updating other packages, but in the end, things got really messed up, and I ended up having to uninstall and reinstall a total of about 4 times over the past 2 years.
  • If you have the free version of Anaconda, there is not much support. Googling questions and error messages are helpful, but there were times when I wished I would have been able to ask technical support to help me troubleshoot issues.
  • There were a few times when I tried to install tensorflow and tensorboard via Anaconda on a PC, but I could not get them to install properly. Anaconda allows you to create 'environments' , which allow you to install specific versions of python and associated libraries. You can keep your environments separate so they do not conflict with one another. Anyway, I ended up having to create several 'conda envrionments' just so I could use tensforflow/tensorboard and a few other utilities to avoid errors. This was somewhat annoying, because every time I wanted to run a specific model, I'd have to open up the specific conda environment with the appropriate python libraries.
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SAS
  • SAS Studio has some great examples that can be implemented. Adding a filter to the output datasets for one.
  • Some issues around having to enter my password every time I open it up. Some people are having this issue and others aren't. SAS admin is at a loss to work out why it's occurring.
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Likelihood to Renew
Anaconda
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.
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SAS
On account of current user experience and the organization-wide acceptance.
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Usability
Anaconda
The interface is an easy to use command-line interface, or a GUI for launching and/or discovering different parts of the system.
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SAS
It's not all bad, but I don't believe that an enterprise purchase of SAS is worth the expense considering the widely available set of tools in the data analytics space at the moment. In my company, it's a good tool because others use it. Otherwise, I wouldn't purchase a new set of it because it doesn't have some of the better analytical functions in it.
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Support Rating
Anaconda
Anaconda provides fast support, and a large number of users moderate its online community. This enables any questions you may have to be answered in a timely fashion, regardless of the topic. The fact that it is based in a Python environment only adds to the size of the online community.
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SAS
I did not use the technical support of SAS EG. I can say that I have had hard time to find online tutorials or projects for SAS EG. For instance, it is hard to find completed researches or designed algorithms used with SAS EG. Sometimes it just depends on user's skill set and experience with databases and programming.
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Implementation Rating
Anaconda
No answers on this topic
SAS
I've not worked hands-on with the implementation team, but there were no escalations barring a few hiccups in the deployment due to change in requirement & adoption to our company's remote servers.
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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-intuitive Anaconda 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
Read full review
SAS
Why I prefer SAS EG: Data processing speed is much faster than that R Studio. It can load any amount of data and any type of data like structured or unstructured or semi-structured. Its output delivery system by which we have the output in PDF file makes it very comfortable to use and share that file to clients very easily. Inbuilt functions are very powerful and plentiful. Facility of writing macros makes it far away from its competitors.
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Return on Investment
Anaconda
  • Positive: Lower maintenance cost compared to other tools on the market
  • Positive: Ease in hiring professionals already accustomed to the tool in the job market
  • Positive: Projects are portable, allowing you to share projects with others and execute projects on different platforms, reducing deployment costs
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SAS
  • Positive (cost): SAS made a bundle that include unlimited usage of SAS/Enterprise Guide with a server solution. That by itself made the company save a lot of money by not having to pay individual licences anymore.
  • Positive (insight): Data analysts in business units often need to crunch data and they don't have access to ETL tools to do it. Having access to SAS/EG gives them that power.
  • Positive (time to market): Having the users develop components with SAS/EG allows for easier integration in a production environment (SAS batch job) as no code rework is required.
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