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

—

SAS Visual Analytics

7.0

Pixel Perfect reports

—

7.1

Customizable dashboards

—

7.5

Report Formatting Templates

—

6.3

Anaconda

—

SAS Visual Analytics

8.3

Drill-down analysis

—

8.9

Formatting capabilities

—

9.0

Integration with R or other statistical packages

—

8.5

Report sharing and collaboration

—

7.0

Anaconda

—

SAS Visual Analytics

8.4

Publish to Web

—

8.1

Publish to PDF

—

7.6

Report Versioning

—

8.5

Report Delivery Scheduling

—

8.8

Delivery to Remote Servers

—

8.9

Anaconda

—

SAS Visual Analytics

8.4

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

—

9.0

Location Analytics / Geographic Visualization

—

8.0

Predictive Analytics

—

8.3

Anaconda

—

SAS Visual Analytics

7.6

Multi-User Support (named login)

—

7.6

Role-Based Security Model

—

8.1

Multiple Access Permission Levels (Create, Read, Delete)

—

7.2

Single Sign-On (SSO)

—

7.7

Anaconda

—

SAS Visual Analytics

8.4

Responsive Design for Web Access

—

7.8

Dedicated iOS Application

—

8.2

Dedicated Android Application

—

8.6

Dashboard / Report / Visualization Interactivity on Mobile

—

9.0

Anaconda

—

SAS Visual Analytics

8.0

REST API

—

8.2

Javascript API

—

8.2

iFrames

—

8.2

Java API

—

8.2

Themeable User Interface (UI)

—

7.1

Customizable Platform (Open Source)

—

8.2

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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Stock market analysis.
Resource utilization and optimization.
Pivot table analysis.

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Banbhalang Kharpuri

Area Manager

EYInformation Technology and Services, 201-500 employees

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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

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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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Customizing a report as per the user requirement.
Adding more color and font styles. Presenting data in a more colorful way.
The website has a lot of tutorials which is more inclined to the technical side. Maybe add more to the presentation side as well.

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Banbhalang Kharpuri

Area Manager

EYInformation Technology and Services, 201-500 employees

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Support

No score

No answers yet

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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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Price and features we looked at seemed consistent. We chose this product because our staff already knew the product, plus users at the state had recommended it as it is what they use.

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Mike Narumiya

Director, Data and Information Systems

North Central Texas Trauma Regional Advisory CouncilHospital & Health Care, 11-50 employees

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No score

No answers yet

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SAS Visual Analytics6.7

Based on 6 answers

The product has been flexible and been able to meet all of our needs.