Cuber VS DUMMY DATABASE

• Lightweight and simple
  Cuber is a lightweight CSS-only 3D cube component that doesn't require JavaScript, making it easy to integrate into projects without adding significant overhead or dependencies.
• Pure CSS implementation
  Built entirely with CSS, Cuber leverages CSS transforms and animations to create 3D cube effects, which means it works without any JavaScript framework requirements.
• Easy to customize
  The cube can be easily customized with different content on each face, colors, sizes, and animation speeds using straightforward CSS properties.
• Cross-browser compatible
  As a CSS-based solution, Cuber works across modern browsers that support CSS 3D transforms, providing broad compatibility without polyfills.
• Interactive and visually appealing
  Cuber provides an engaging 3D visual effect that can enhance user interfaces, portfolios, or presentations with interactive cube rotations and transitions.

Possible disadvantages

• Limited documentation
  Being a smaller, niche project, Cuber may lack comprehensive documentation, tutorials, or examples compared to more established UI libraries, making it harder for newcomers to get started.
• Limited community and support
  As a lesser-known project, Cuber has a small community, which means fewer resources, Stack Overflow answers, and third-party tutorials are available for troubleshooting.
• Restricted to cube layouts
  Cuber is specifically designed for cube-shaped 3D presentations, limiting its versatility compared to more general-purpose 3D CSS libraries or animation frameworks.
• Performance on mobile devices
  CSS 3D transforms can be resource-intensive on lower-end mobile devices, potentially leading to janky animations or poor performance on older hardware.
• Limited interactivity without JavaScript
  While the pure CSS approach is a strength, it also limits the level of interactivity and dynamic behavior that can be achieved without adding custom JavaScript on top of the library.

• Relations Datasets Generation
  Automatically create realistic, interlinked datasets that preserve relational integrity between tables — perfect for simulating multi-table databases for testing, analytics, and demos.
• Sequence of Events
  Define and generate realistic event chains with time dependencies, probabilities, and conditional paths — ideal for modeling user journeys, workflows, or process mining scenarios.
• Built-in SQL Editor
  Instantly query, filter, and transform generated datasets without leaving the platform — no need for external tools or database setup.