Kasm Workspaces vs RavadaVDI

Struggling to choose between Kasm Workspaces and RavadaVDI? Both products offer unique advantages, making it a tough decision.

Kasm Workspaces is a Remote Work & Education solution with tags like container, browserbased, workspace, development, data-science, devops.

It boasts features such as Browser-based container workspaces, Prebuilt container images for development, data science, DevOps, etc, Open source and self-hosted option, Workspace collaboration and sharing, Access controls and user management, Optimized streaming for web applications, Integration with Kubernetes and Docker and pros including Easily launch preconfigured dev environments, Access your tools and workflows from any browser, Share workspaces for collaboration, Open source allows customization and self-hosting, More lightweight than full VDI solutions.

On the other hand, RavadaVDI is a Remote Work & Education product tagged with opensource, vdi, virtual-desktop, remote-access.

Its standout features include Allows access to remote virtualized desktops and applications, Supports multiple hypervisors like KVM, VirtualBox, VMware, Provides a web-based management interface, Offers client software for Windows, Linux, macOS, Android, iOS, Includes RDP and SPICE protocols for connectivity, Has load balancing and autoscaling capabilities, Enables setting user permissions and policies, Allows taking snapshots of virtual machines, and it shines with pros like Open source and free, Easy to install and configure, Good performance and scalability, Supports many platforms and devices, Active development community, Feature-rich compared to alternatives.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Kasm Workspaces

Kasm Workspaces

Kasm Workspaces is an open-source container management platform that allows users to easily deploy browser-based workspaces. It supports launching multiple containers with different tools preconfigured for development, data science, DevOps, and more.

Categories:
container browserbased workspace development data-science devops

Kasm Workspaces Features

  1. Browser-based container workspaces
  2. Prebuilt container images for development, data science, DevOps, etc
  3. Open source and self-hosted option
  4. Workspace collaboration and sharing
  5. Access controls and user management
  6. Optimized streaming for web applications
  7. Integration with Kubernetes and Docker

Pricing

  • Open Source
  • Freemium
  • Subscription-Based

Pros

Easily launch preconfigured dev environments

Access your tools and workflows from any browser

Share workspaces for collaboration

Open source allows customization and self-hosting

More lightweight than full VDI solutions

Cons

Less mature than some competing solutions

Limited native integrations compared to VDI

Requires more IT skills to self-host and manage

Not ideal for graphics/video-intensive workloads


RavadaVDI

RavadaVDI

RavadaVDI is an open-source VDI (Virtual Desktop Infrastructure) solution that allows users to access remote virtualized desktops and applications. It enables IT administrators to deploy virtual desktop pools and make them available from any device over the network.

Categories:
opensource vdi virtual-desktop remote-access

RavadaVDI Features

  1. Allows access to remote virtualized desktops and applications
  2. Supports multiple hypervisors like KVM, VirtualBox, VMware
  3. Provides a web-based management interface
  4. Offers client software for Windows, Linux, macOS, Android, iOS
  5. Includes RDP and SPICE protocols for connectivity
  6. Has load balancing and autoscaling capabilities
  7. Enables setting user permissions and policies
  8. Allows taking snapshots of virtual machines

Pricing

  • Open Source
  • Free

Pros

Open source and free

Easy to install and configure

Good performance and scalability

Supports many platforms and devices

Active development community

Feature-rich compared to alternatives

Cons

Limited documentation

Steep learning curve

Not as polished as commercial options

Lacks some advanced management features

Can be resource intensive

Not ideal for large deployments