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Anaconda vs SAS Visual Analytics comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Anaconda
Average Rating
8.2
Reviews Sentiment
7.4
Number of Reviews
19
Ranking in other categories
Data Science Platforms (11th)
SAS Visual Analytics
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
40
Ranking in other categories
Data Visualization (7th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Anaconda is designed for Data Science Platforms and holds a mindshare of 2.1%, down 2.2% compared to last year.
SAS Visual Analytics, on the other hand, focuses on Data Visualization, holds 4.5% mindshare, down 6.1% since last year.
Data Science Platforms
Data Visualization
 

Featured Reviews

Rohan Sharma - PeerSpot reviewer
Provides all the frameworks and makes it easy to create environments for multiple projects
The best thing is that it provides all the frameworks and makes it easy to create environments for multiple projects using Anaconda. It is easy for a beginner to learn to use Anaconda. Comparatively, it is easier than using virtual environments or other environments because of the Conda environment. However, there are many things in Anaconda that people need to be aware of, so it can be challenging.
Renato Vazamin - PeerSpot reviewer
Single environment for multiple phases saves us time, and has good visualizations
We had that solution installed previously in another solution, Selvaya, but I don't think we used it at the time. We are now using SAS Detect Investigation as a complementary solution, in which we have part of the process, use a gene, SAS collects information and identifies some business situations, and the business guys use Visual Analytics to explore the results of the process. We previously used the FICO platform, but we switched because FICO's pricing was not scalable. Bringing more data or workloads to the platform required a significant investment in order to scale. We needed to change because we have a lot of data to process every day. FICO was also a little more complicated than SAS Visual Analytics.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The notebook feature is an improvement over RStudio."
"It provides a unified platform where you can install Jupyter, Python Spider, and other related tools without needing separate installations."
"The most valuable feature is the set of libraries that are used to support the functionality that we require."
"With Anaconda Navigator, we have been able to use multiple IDEs such as JupyterLab, Jupyter Notebook, Spyder, Visual Studio Code, and RStudio in one place. The platform-agnostic package manager, "Conda", makes life easy when it comes to managing and installing packages."
"Anaconda is an open-source platform that can integrate numerous other kits and models in one place."
"The solution is stable."
"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"It has a lot of functionality available, supports many libraries, and the developers are continually improving it."
"The tool's most valuable features are its ease of use and advanced data visualization capabilities."
"I would rate the overall solution a ten out of ten."
"It integrates well with SAS, making it simple and quick for developers."
"Simplifies report designs and quickly displays tables and graphs."
"The product is stable, reliable, and scalable."
"It provided the capability to visualize a bunch of data in an organized way."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"It is a very stable solution."
 

Cons

"Having a small guide or video on the tool would help learn how to use it and what the features are."
"It crashes once in a while. In case of a reboot or something unexpected, the unseen code part will get diminished, and it relatively takes longer than other applications when a reboot is happening. They can improve in these areas. They can also bring some database software. They have software for analytics and virtualization. However, they don't have any software for the database."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
"When you install Anaconda for the first time, it's really difficult to update it."
"One feature that I would like to see is being able to use a different language in a different cell, which would allow me to mix R and Python together."
"The interface could be improved. Other solutions, like Visual Studio, have much better UI."
"One thing that hurts the product is that the company is not doing more to advertise it as a solution and make it more well known."
"A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area."
"The integration aspects of the solution could be improved."
"The licensing ends up being more expensive than other options."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"A bit more flexibility in the temperatization will be helpful."
"The product is expensive and needs the integration of more languages."
"SAS Visual Analytics could be more user-friendly."
"There are a few little things that are predefined and can be done out of the box immediately. There is no business intelligence application that is predefined, which is something some customers or prospects would love to have. Small and mid-sized companies would struggle with it because they prefer something standard that has been predefined by somebody else."
"The installation process can be a bit complex."
 

Pricing and Cost Advice

"My company uses the free version of the tool. There is also a paid version of the tool available."
"The tool is open-source."
"Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks."
"The licensing costs for Anaconda are reasonable."
"The product is open-source and free to use."
"Licensing is simple."
"It was licensed for corporate use, and its licensing was on a yearly basis."
"The cost of the solution can be expensive. There is an additional cost for users."
"It's approximately $114,000 US dollars per year."
"The product is quite expensive."
"The product is expensive."
"I work with the tool's free version...The tool's corporate version is very expensive and requires a monthly hire."
"Visual Analytics is expensive for a small company like mine. You also need to deploy it on a server or cloud, so you pay for the license as well as the cost of the cloud or the server that you will deploy on."
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Computer Software Company
9%
Manufacturing Company
8%
University
8%
Financial Services Firm
21%
Government
12%
Computer Software Company
10%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Anaconda?
The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using Jupyter Notebook makes it easy to handle bugs and errors.
What is your experience regarding pricing and costs for Anaconda?
Anaconda does not require a pricing structure, and it is available as an open-source tool. The features of Python, Jupyter, and others are free to use.
What needs improvement with Anaconda?
Anaconda consumes a significant amount of processing memory when working on it. This is something that needs improvement as it can impact performance.
What do you like most about SAS Visual Analytics?
The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps w...
What is your experience regarding pricing and costs for SAS Visual Analytics?
It's about an average of five. It's easy to scale, but it comes with cost.
What needs improvement with SAS Visual Analytics?
Some capabilities are missing compared to Power BI, especially when working with spreadsheet types. Furthermore, Excel is more customizable compared to SAS Visual Analytics, which can be quite rigi...
 

Also Known As

No data available
SAS BI
 

Overview

 

Sample Customers

LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
Staples, Ausgrid, Scotiabank, the Australian Institute of Health and Welfare, the Blue Cross and Blue Shield of North Carolina, Oklahoma Gas & Electric, Xcel Energy, and Triad Analytics Solutions.
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