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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

The Code Ocean Computational Workbench enhances usability, coding, data tool integration, and DevOps lifecycle processes by bridging technology gaps with a user-friendly, ready-to-use interface. It provides readily accessible tools like RStudio, Jupyter, Shiny, Terminal, and Git, while allowing users to select from a variety of popular programming languages. Users can access diverse data sizes and storage types, configure, and generate Docker environments with ease. Furthermore, it offers one-click access to AWS compute resources, streamlining workflows significantly. Through the app panel of the Code Ocean Computational Workbench, researchers can effortlessly share findings by creating and publishing user-friendly web analysis applications for teams of scientists, all without needing IT support, coding skills, or command-line proficiency. This platform allows for the creation and deployment of interactive analyses that operate seamlessly in standard web browsers. Collaboration and sharing of results are simplified, and resources can be reused and managed with minimal effort. By providing a straightforward application and repository, researchers can efficiently organize, publish, and safeguard project-based Compute Capsules, data assets, and their research outcomes, ultimately promoting a more collaborative and productive research environment. The versatility and ease of use of this workbench make it an invaluable tool for scientists looking to enhance their research capabilities.

Description

SAS Enterprise Guide provides users with a streamlined way to harness the analytical capabilities of SAS via a user-friendly point-and-click interface designed for Windows. This tool enables users to independently conduct analyses by merging a vast selection of analytical options with SAS software's robust features, all within an intuitive graphical interface. Consequently, business analysts can generate their own insights and disseminate reports, allowing IT departments to concentrate on more strategic initiatives. Furthermore, SAS Enterprise Guide seamlessly integrates with SAS Viya, enabling teams to utilize their existing workflows while executing SAS programs in the cloud without the need for recoding, thus leveraging the advantages of a modern, cloud-based environment that offers increased efficiency, scalability, and enhanced analytical capabilities. Additionally, it assists users in quickly accessing data for their analyses, scheduling projects, sharing outcomes, and embedding outputs for recurring use, which includes leveraging advanced analytics and various other functionalities provided by SAS. This combination of features not only enhances productivity but also fosters a more collaborative approach to data analysis within organizations.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon EC2 Yes 
Amazon S3 Yes 
Amazon Web Services (AWS) Yes 
Docker Yes 
Git Yes 
GitHub Yes 
Jupyter Notebook Yes 
SAS Viya No 
Terminal Yes 

Integrations

Amazon EC2 No 
Amazon S3 No 
Amazon Web Services (AWS) No 
Docker No 
Git No 
GitHub No 
Jupyter Notebook No 
SAS Viya Yes 
Terminal No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Code Ocean

Country

United States

Website

codeocean.com/product/

Vendor Details

Company Name

SAS

Founded

1976

Country

United States

Website

www.sas.com/en_us/software/enterprise-guide.html

Product Features

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Product Features

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

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