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What is Red Hat OpenShift Dev Spaces?

Red Hat OpenShift Dev Spaces, which is founded on the open-source Eclipse Che initiative, utilizes Kubernetes and containerization to deliver a unified, secure, and zero-setup development atmosphere suitable for every member of a development or IT group. This platform offers an experience that rivals the speed and simplicity of a local integrated development environment. Available with each OpenShift subscription and through the Operator Hub, OpenShift Dev Spaces provides teams with a more effective and reliable foundation for their projects, while also granting operations teams centralized oversight and confidence. You can begin coding immediately with the free Developer Sandbox for Red Hat OpenShift, allowing users to try out OpenShift Dev Spaces without any cost. With applications and their development environments packaged in containers running on OpenShift, developers can focus exclusively on coding, eliminating the need to navigate the complexities of Kubernetes. Additionally, administrators can easily manage and supervise workspaces just like any other Kubernetes resource, ensuring a seamless workflow. This integration of intuitive tools and robust management features positions OpenShift Dev Spaces as a superior option for contemporary development teams, fostering both productivity and collaboration among users. Ultimately, it empowers teams to innovate and deliver high-quality software efficiently.

What is JetBrains Datalore?

Datalore serves as a collaborative data science and analytics platform designed to enhance the analytics workflow, making data interaction more enjoyable for both data scientists and business teams with analytical skills. This platform prioritizes the efficiency of data teams, enabling technically skilled business users to engage with data teams through no-code and low-code solutions alongside the robust capabilities of Jupyter Notebooks. With Datalore, business users can enjoy analytic self-service by utilizing SQL or no-code cells, generating reports, and exploring data in depth. This functionality also allows core data teams to concentrate on more complex tasks, thus streamlining their workflow. Moreover, Datalore facilitates seamless collaboration between data scientists and analysts, enabling them to share their findings with ML Engineers. Users can effortlessly share their code with ML Engineers who have access to powerful CPUs and GPUs, all while collaborating in real time with colleagues for improved productivity and creativity. Ultimately, Datalore seeks to bridge the gap between technical and non-technical users, fostering a truly collaborative environment in the data science field.

Media

Media

Integrations Supported

Python
GitHub
Java
JavaScript
Jira Work Management
PHP
Rambox

Integrations Supported

Python
Amazon S3
Amazon SageMaker
Code With Me
EDB Postgres Advanced Server
Goose
JetBrains Gateway
Kotlin
MySQL
PostgreSQL
PyCharm
SQL
Scala
Supermaven

API Availability

API Availability

Has API

Pricing Information

$30 per month
Free Version
Free Trial Offered?

Pricing Information

$19.90 per month
Datalore Enterprise on-prem is free for teams of up to four. Contact vendors for larger teams.
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Windows
Mac

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Red Hat

Date Founded

1993

Company Location

United States

Company Website

developers.redhat.com/products/openshift-dev-spaces/overview

Company Facts

Organization Name

JetBrains

Date Founded

2000

Company Location

Czech Republic

Company Website

www.jetbrains.com/datalore/

Categories and Features

Application Development

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control

Code Collaboration

Not specified

Configuration Management

Access Control / Permissions
Application Deployment
Automated Provisioning
Infrastructure Automation
Node Management
Orchestration
Reporting Analytics / Visualization
Task Management

IDE

Not specified

Categories and Features

AI Coding Assistants

Not specified

AI Tools

Not specified

Code Collaboration

Not specified

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Visualization
Model Deployment
Reports

IDE

Code Completion
Drag and Drop UI
Text Editor / Code Editor

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