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Top Rated
41 Ratings
Top Rated
41 Ratings
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Score 8.7 out of 101
41 Ratings
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Score 8.2 out of 101

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Likelihood to Recommend

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.
Maike Holthuijzen profile photo

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!
Ian Macintosh profile photo

Feature Rating Comparison

Data Exploration

Anaconda
7.5
SAS Visual Analytics
Visualization
Anaconda
7.0
SAS Visual Analytics
Interactive Data Analysis
Anaconda
8.0
SAS Visual Analytics

Data Preparation

Anaconda
7.0
SAS Visual Analytics
Interactive Data Cleaning and Enrichment
Anaconda
7.0
SAS Visual Analytics
Data Transformations
Anaconda
8.0
SAS Visual Analytics
Data Encryption
Anaconda
6.0
SAS Visual Analytics
Built-in Processors
Anaconda
7.0
SAS Visual Analytics

Platform Data Modeling

Anaconda
5.7
SAS Visual Analytics
Automated Machine Learning
Anaconda
4.0
SAS Visual Analytics
Single platform for multiple model development
Anaconda
7.0
SAS Visual Analytics
Self-Service Model Delivery
Anaconda
6.0
SAS Visual Analytics

Model Deployment

Anaconda
4.5
SAS Visual Analytics
Flexible Model Publishing Options
Anaconda
5.0
SAS Visual Analytics
Security, Governance, and Cost Controls
Anaconda
4.0
SAS Visual Analytics

BI Standard Reporting

Anaconda
SAS Visual Analytics
8.9
Pixel Perfect reports
Anaconda
SAS Visual Analytics
9.0
Customizable dashboards
Anaconda
SAS Visual Analytics
9.0
Report Formatting Templates
Anaconda
SAS Visual Analytics
8.7

Ad-hoc Reporting

Anaconda
SAS Visual Analytics
9.0
Drill-down analysis
Anaconda
SAS Visual Analytics
9.4
Formatting capabilities
Anaconda
SAS Visual Analytics
9.5
Integration with R or other statistical packages
Anaconda
SAS Visual Analytics
9.0
Report sharing and collaboration
Anaconda
SAS Visual Analytics
8.3

Report Output and Scheduling

Anaconda
SAS Visual Analytics
9.1
Publish to Web
Anaconda
SAS Visual Analytics
8.8
Publish to PDF
Anaconda
SAS Visual Analytics
8.7
Report Versioning
Anaconda
SAS Visual Analytics
9.2
Report Delivery Scheduling
Anaconda
SAS Visual Analytics
9.4
Delivery to Remote Servers
Anaconda
SAS Visual Analytics
9.4

Data Discovery and Visualization

Anaconda
SAS Visual Analytics
9.4
Pre-built visualization formats (heatmaps, scatter plots etc.)
Anaconda
SAS Visual Analytics
9.7
Location Analytics / Geographic Visualization
Anaconda
SAS Visual Analytics
9.1
Predictive Analytics
Anaconda
SAS Visual Analytics
9.4

Access Control and Security

Anaconda
SAS Visual Analytics
8.5
Multi-User Support (named login)
Anaconda
SAS Visual Analytics
8.7
Role-Based Security Model
Anaconda
SAS Visual Analytics
8.7
Multiple Access Permission Levels (Create, Read, Delete)
Anaconda
SAS Visual Analytics
8.1
Single Sign-On (SSO)
Anaconda
SAS Visual Analytics
8.6

Mobile Capabilities

Anaconda
SAS Visual Analytics
9.1
Responsive Design for Web Access
Anaconda
SAS Visual Analytics
8.5
Dedicated iOS Application
Anaconda
SAS Visual Analytics
9.2
Dedicated Android Application
Anaconda
SAS Visual Analytics
9.2
Dashboard / Report / Visualization Interactivity on Mobile
Anaconda
SAS Visual Analytics
9.5

Application Program Interfaces (APIs) / Embedding

Anaconda
SAS Visual Analytics
9.1
REST API
Anaconda
SAS Visual Analytics
9.2
Javascript API
Anaconda
SAS Visual Analytics
9.2
iFrames
Anaconda
SAS Visual Analytics
9.2
Java API
Anaconda
SAS Visual Analytics
9.2
Themeable User Interface (UI)
Anaconda
SAS Visual Analytics
8.4
Customizable Platform (Open Source)
Anaconda
SAS Visual Analytics
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
Mauricio Quiroga-Pascal Ortega profile photo
  • Predictive modelling.
  • Data and statistical analysis.
  • Dashboard development.
  • Data mining.
No photo available

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.
No photo available
  • Can't find any yet.
No photo available

Support

No score
No answers yet
No answers on this topic
SAS Visual Analytics10.0
Based on 1 answer
Excellent and fast support
suva sahu profile photo

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
Mauricio Quiroga-Pascal Ortega profile photo
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.
No photo available

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.
Mauricio Quiroga-Pascal Ortega profile photo
  • Expensive in dollars (but worth it)
  • Significant establishment effort but once set up easy to manage
  • good user feedback
Ian Macintosh profile photo

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.