Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Harmoni Reviews & Ratings
    16 Ratings
  • Wave Browser Reviews & Ratings
    52 Ratings
    Company Website
  • Google Cloud BigQuery Reviews & Ratings
    2,027 Ratings
    Company Website
  • SiteKiosk Reviews & Ratings
    29 Ratings
    Company Website
  • DbVisualizer Reviews & Ratings
    585 Ratings
    Company Website
  • TIMi Reviews & Ratings
    68 Ratings
    Company Website
  • SciSure Reviews & Ratings
    299 Ratings
    Company Website
  • Dragonfly Reviews & Ratings
    16 Ratings
    Company Website
  • SurveyLegend Reviews & Ratings
    1,884 Ratings
    Company Website
  • Google Cloud Run Reviews & Ratings
    349 Ratings
    Company Website

What is Code Ocean?

The Code Ocean Computational Workbench significantly improves usability, coding, data tool integration, and DevOps lifecycle processes by effectively closing technology gaps with an intuitive, ready-to-use interface. Users have immediate access to essential tools such as RStudio, Jupyter, Shiny, Terminal, and Git, while also having the flexibility to choose from a range of widely-used programming languages. This platform accommodates various data sizes and storage types, allowing users to configure and easily generate Docker environments. Additionally, it facilitates one-click access to AWS compute resources, greatly enhancing workflow efficiency. Through the app panel, researchers can seamlessly share their findings by creating and publishing user-friendly web analysis applications for collaborative teams of scientists, all without requiring IT support, programming skills, or command-line expertise. The platform enables the development and deployment of interactive analyses that run effortlessly in standard web browsers. Collaboration is streamlined, and the management of resources is simplified, allowing for easy reuse. By offering an organized application and repository, researchers can efficiently manage, publish, and protect project-based Compute Capsules, data assets, and their findings, fostering a more collaborative and productive research environment. The Code Ocean Computational Workbench’s adaptability and user-friendly nature make it an essential resource for scientists aiming to expand their research capabilities, ultimately paving the way for innovative discoveries. With its powerful features and ease of use, this tool not only enhances research productivity but also encourages interdisciplinary collaboration among researchers.

What is Cloudera Data Science Workbench?

Facilitate the transition of machine learning from conceptual frameworks to real-world applications with an intuitive experience designed for your traditional platform. Cloudera Data Science Workbench (CDSW) offers a convenient environment for data scientists, enabling them to utilize Python, R, and Scala directly from their web browsers. Users can easily download and investigate the latest libraries and frameworks within adaptable project configurations that replicate the capabilities of their local setups. CDSW guarantees solid connectivity not only to CDH and HDP but also to critical systems that bolster your data science teams in their analytical tasks. In addition, Cloudera Data Science Workbench allows data scientists to manage their analytics pipelines autonomously, incorporating built-in scheduling, monitoring, and email notifications. This platform not only fosters the rapid development and prototyping of cutting-edge machine learning projects but also streamlines the deployment process into a production setting. With these workflows made more efficient, teams can prioritize delivering meaningful outcomes while enhancing their collaborative efforts. Ultimately, this shift encourages a more productive environment for innovation in data science.

Media

Media

Integrations Supported

Amazon EC2
Amazon S3
Amazon Web Services (AWS)
Docker
Git
GitHub
Jupyter Notebook
Terminal

Integrations Supported

Cloudera
Cloudera Data Platform
IBM Db2 Big SQL

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Code Ocean

Company Location

United States

Company Website

codeocean.com/product/

Company Facts

Organization Name

Cloudera

Date Founded

2008

Company Location

United States

Company Website

www.cloudera.com/products/data-science-and-engineering/data-science-workbench.html

Categories and Features

Data Analysis

Not specified

Categories and Features

Data Science

Not specified

Popular Alternatives

R Markdown Reviews & Ratings

R Markdown

RStudio PBC

Popular Alternatives

Metaflow Reviews & Ratings

Metaflow

Netflix