D3.js vs. Particle

D3.js is great for visualizing with medium and small size datasets. It's also great for prototyping visualizations quickly and sharing on the web so others can view it without having to install any software on their machines

Incentivized

Particle is suitable for any company that needs to configure multiple devices and have better control over them.

The benefits are many, from computer integration, integration with DBA, also integrable with RPA.

Incentivized

• Wide variety of visualization collections.
• Easy to customize existing visualization collections and add extended functionality.
• It takes some learning curve, but after that, it's easy to reuse across multiple similar problems with little changes.

Incentivized

• Particle is simple to use and accessible to any user.
• The servers housed in the data center allow us to respond to any problem
• Through the interface the data is analyzed in a very simple way.
• Ideal interface for the exploitation of our devices, computers and mobile phones.
• The interface for iOTs allows us to interact with the system in a few steps.
• It allows, among other things, the display of information calculated from the data collected from different iOTs, in an understandable way.

Incentivized

• Has a steep initial learning curve.
• It is slow when dealing with really large datasets.
• Not great for making maps.

Incentivized

• For Advanced programs, a bit complicated to programme.
• Pin Limitations (Photon DevKit).
• Pricing is high compared to others.

Incentivized

Support can be improved by providing more educational videos.

Incentivized

Efficient integration of multiple devices very well integrated and with a minimum implementation time.

Incentivized

D3.js gives a better aesthetic feel on the charts and as a developer, it gives more options to customize on the charts.

Incentivized

I have used other IoT Development Modules like Arduino, Raspberry Pi, and others. Most of all starter kit doesn't come with WiFi or Cellular built-in. Arduino is a basic module where you have to add WiFi or Cellular manually in it. Raspberry Pi has WiFi but it cannot be used for small or medium use cases, it can be used in advanced and complex systems building and it is costlier.

Incentivized

• Rapid Development using templates helps faster delivery of the project.
• Documentation requires a lot of time to study.
• D3 creates high-quality visual effects which can be used over large screens.

Incentivized

• Sometimes Cloud Analytics fails due to less network.
• Can't check properly in Cloud Editor it's connected to network or not.
• It uses more power in WiFi Module.

Incentivized