Anaconda vs SAS Visual Analytics

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.

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Maike Holthuijzen

Ph.D student

University of VermontHigher Education, 5001-10,000 employees

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SAS Visual Analytics

It is particularly well suited to big data collections that have good structure. It is not really designed for unstructured datasets (documents, etc). Its strength is the processing speed (particularly when implemented on Hadoop). It is not cheap but it is worth it!

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Ian Macintosh

Manager ICT Operations

Australian Institute of Health and WelfareGovernment Administration, 201-500 employees

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Feature Rating Comparison

Anaconda

7.5

SAS Visual Analytics

—

Visualization

7.0

—

Interactive Data Analysis

8.0

—

Anaconda

7.0

SAS Visual Analytics

—

Interactive Data Cleaning and Enrichment

7.0

—

Data Transformations

8.0

—

Data Encryption

6.0

—

Built-in Processors

7.0

—

Anaconda

5.7

SAS Visual Analytics

—

Automated Machine Learning

4.0

—

Single platform for multiple model development

7.0

—

Self-Service Model Delivery

6.0

—

Anaconda

4.5

SAS Visual Analytics

—

Flexible Model Publishing Options

5.0

—

Security, Governance, and Cost Controls

4.0

—

Anaconda

—

SAS Visual Analytics

8.9

Pixel Perfect reports

—

9.0

Customizable dashboards

—

9.0

Report Formatting Templates

—

8.7

Anaconda

—

SAS Visual Analytics

9.0

Drill-down analysis

—

9.4

Formatting capabilities

—

9.5

Integration with R or other statistical packages

—

9.0

Report sharing and collaboration

—

8.3

Anaconda

—

SAS Visual Analytics

9.1

Publish to Web

—

8.8

Publish to PDF

—

8.7

Report Versioning

—

9.2

Report Delivery Scheduling

—

9.4

Delivery to Remote Servers

—

9.4

Anaconda

—

SAS Visual Analytics

9.4

Pre-built visualization formats (heatmaps, scatter plots etc.)

—

9.7

Location Analytics / Geographic Visualization

—

9.1

Predictive Analytics

—

9.4

Anaconda

—

SAS Visual Analytics

8.5

Multi-User Support (named login)

—

8.7

Role-Based Security Model

—

8.7

Multiple Access Permission Levels (Create, Read, Delete)

—

8.1

Single Sign-On (SSO)

—

8.6

Anaconda

—

SAS Visual Analytics

9.1

Responsive Design for Web Access

—

8.5

Dedicated iOS Application

—

9.2

Dedicated Android Application

—

9.2

Dashboard / Report / Visualization Interactivity on Mobile

—

9.5

Anaconda

—

SAS Visual Analytics

9.1

REST API

—

9.2

Javascript API

—

9.2

iFrames

—

9.2

Java API

—

9.2

Themeable User Interface (UI)

—

8.4

Customizable Platform (Open Source)

—

9.2

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

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Mauricio Quiroga-Pascal Ortega

Senior Cognitive Solutions Consultant

Cognitiva IBM Watson Strategic PartnerComputer Software, 51-200 employees

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Predictive modelling.
Data and statistical analysis.
Dashboard development.
Data mining.

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Verified User

Analyst in Research & Development

Insurance Company, 501-1000 employees

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Cons

Although some other users mentioned the installation is "simple", we did encounter some challenge in a highly controlled environment (due to security reasons).
Jupyter Notebook is extremely slow when the client/server side of the network's speed/bandwidth is not balanced.
Bootstrapping Anaconda takes too long, sometimes I even started doubting it would respond any more.
If there are extra python packages you need but are not by default installed by Anaconda, then some efforts will be required to figure out how to put them in the right place.

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Verified User

Strategist in Information Technology

Package/Freight Delivery Company, 10,001+ employees

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Can't find any yet.

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Verified User

Analyst in Research & Development

Insurance Company, 501-1000 employees

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Support

No score

No answers yet

No answers on this topic

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SAS Visual Analytics10.0

Based on 1 answer

Excellent and fast support

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suva sahu

Project Lead

Tech MahindraInformation Technology and Services, 10,001+ employees

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Alternatives Considered

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

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Mauricio Quiroga-Pascal Ortega

Senior Cognitive Solutions Consultant

Cognitiva IBM Watson Strategic PartnerComputer Software, 51-200 employees

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SAS Visual Analytics stuck against IBM SPSS Modeler and Tableau in the sense that, it is far more accurate and reliable in the aspect of data and statistical analyses than others. Also, it is not just globally recognized as the leader in the field of statistical and data analysis, but also the most used statistical software worldwide. In addition, it combines the functionality of both IBM SPSS Modeler and Tableau which implies, it is comprehensive and has the widest coverage.

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Verified User

Analyst in Research & Development

Insurance Company, 501-1000 employees

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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.

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Mauricio Quiroga-Pascal Ortega

Senior Cognitive Solutions Consultant

Cognitiva IBM Watson Strategic PartnerComputer Software, 51-200 employees

View all 12 answers on this topic

Expensive in dollars (but worth it)
Significant establishment effort but once set up easy to manage
good user feedback

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Ian Macintosh

Manager ICT Operations

Australian Institute of Health and WelfareGovernment Administration, 201-500 employees

View all 9 answers on this topic

Pricing Details

Anaconda

General

Free Trial

—

Free/Freemium Version

—

Premium Consulting/Integration Services

—

Entry-level set up fee?

No

Anaconda Editions & Modules

Anaconda

—

Additional Pricing Details

—

SAS Visual Analytics

General

Free Trial

Yes

Free/Freemium Version

—

Premium Consulting/Integration Services

Yes

Entry-level set up fee?

No

SAS Visual Analytics Editions & Modules

SAS Visual Analytics

Edition

SAS Visual Analytics for SAS Cloud

1

1. Annual By Users: 5, 10, 20

Additional Pricing Details

SAS Visual Statistics and SAS Office Analytics are also available as add-ons.

Rating Summary

Anaconda vs SAS Visual Analytics

Add comparison

Likelihood to Recommend

Anaconda

SAS Visual Analytics

Feature Rating Comparison

Visualization

Interactive Data Analysis

Interactive Data Cleaning and Enrichment

Data Transformations

Data Encryption

Built-in Processors

Automated Machine Learning

Single platform for multiple model development

Self-Service Model Delivery

Flexible Model Publishing Options

Security, Governance, and Cost Controls

Pixel Perfect reports

Customizable dashboards

Report Formatting Templates

Drill-down analysis

Formatting capabilities

Integration with R or other statistical packages

Report sharing and collaboration

Publish to Web

Publish to PDF

Report Versioning

Report Delivery Scheduling

Delivery to Remote Servers

Pre-built visualization formats (heatmaps, scatter plots etc.)

Location Analytics / Geographic Visualization

Predictive Analytics

Multi-User Support (named login)

Role-Based Security Model

Multiple Access Permission Levels (Create, Read, Delete)

Single Sign-On (SSO)

Responsive Design for Web Access

Dedicated iOS Application

Dedicated Android Application

Dashboard / Report / Visualization Interactivity on Mobile

REST API

Javascript API

iFrames

Java API

Themeable User Interface (UI)

Customizable Platform (Open Source)

Pros

Cons

Support

Alternatives Considered

Return on Investment

Screenshots

Pricing Details

Anaconda

General

Free Trial

Free/Freemium Version

Premium Consulting/Integration Services

Entry-level set up fee?

Anaconda Editions & Modules

Additional Pricing Details

SAS Visual Analytics

General

Free Trial

Free/Freemium Version

Premium Consulting/Integration Services

Entry-level set up fee?

SAS Visual Analytics Editions & Modules

Edition

Additional Pricing Details

Rating Summary