- Documentation

- Prototyping to production transition support

- Particle console interface Review collected by and hosted on G2.com.

- Learning curve a bit steep at the beginning

- Not possible to use custom SIM cards on e-series and b-series modules

- Does't support out-of-the box all Arduino libraries

- CLoud IDE limited Review collected by and hosted on G2.com.

Particle io Internet of Things devices provides complete End to End integration and deployment in the cloud. And like the way, they perform analytics with Artificial intelligence and Machine learning. And multiple sensors embedded into a single board.

We can add our own required external sensors too with a female connector. Particle devices come with better rechargeable batteries and for recharge, we can use our smartphone adapter with a cable. I mean to say that we can charge devices with multiple cables. We can customize the functionality of sensors and devices with the build. particle io web Integrated development environment. And flash our customizable code into it. Review collected by and hosted on G2.com.

At present, I am using Tracker One it's not embedded with Temperature sensors that give environmental temperature. The size of the device is the big user can carry the device to give false data. I mean to say that when the device is in with the truck driver he may take it out and feed false data. Review collected by and hosted on G2.com.

The devices are low-cost, but very powerful. The cloud platform behind it is robust and easy to use. Review collected by and hosted on G2.com.

Some particle devices have not stayed on the market, which leads to concerns about long term investment Review collected by and hosted on G2.com.

Comprehensive tools for successful end to end development of the IoT Review collected by and hosted on G2.com.

Supply chain shortage is causing Boron LTE to be sparsely available. Review collected by and hosted on G2.com.

I can teach the basic concepts of microcontrollers with actual demonstration and actual over-the-air programming in an online or distance learning set-up. The programs or sketches are very similar to Arduino. You can upload sketches anywhere, anytime using the WebIDE. Review collected by and hosted on G2.com.

Sometimes the device disconnects or needs some resetting/re-flashing. It is also difficult to upload sketched locally or when you do not have an internet connection. I know that the devices are mainly created for IoT, but I do hope there is an easy way to upload sketched using a computer that is not internet connected. Review collected by and hosted on G2.com.

Particle cloud platform is clean, well designed. The API's are powerful and provide a good feature set to build some powerful applications. The devices are also extremely stable. Of the 400+ devices we used only couple were bricked. The 3rd Gen hardware is quite capable even though the devices are tiny.

Well designed device level security and platform flexibility, make it a good platform choice for a lot of IOT applications in real world.

The particle community has been pretty awesome. Easy to find help when faced with quirky issues. Review collected by and hosted on G2.com.

Abrupt discontinuation of Mesh support & Xenon devices hurt us badly. The application we built was heavily reliant on mesh. Cost us a lot of development hours to redesign and we still haven't been able to get the devices working reliably, as we are dependent on Wi-Fi or Cellular signal at each device (unlike a mesh network).

Lack of 900Mhz support makes is difficult as the devices only support 2.4Ghz, which tends to be a crowded spectrum in industrial environments.

Also, support only for AT&T networks limits the Boron devices capability. Our experience has been that there is better Verizon coverage in rural areas. The official support for Verizon has been delayed multiple times and is still 6 months away as of now.

I really hope they bring back mesh support. That will make the device extremely powerful and usable over a lot of industrial IOT applications. Once Particle is able to design greater reliability in "Internet" part of the IOT, I would be willing to endorse this IOT platform very strongly. Review collected by and hosted on G2.com.

- Particle gives you the tools to create a profesional IoT product: : a platform to to manage the entire IoT network having visibility of the devices, health and connectivity status and others.

- The hardware that connects straight to the cloud is an advantage. It provides a software abstraction that saves development efforts to handle all cloud connection issues. This gives you time to market.

- The availability of 3G and Wifi hardware options.

- The community is very active in terms of sharing experience and providing support. Review collected by and hosted on G2.com.

- The documentation in some topics lags a lot behind the speed of development so using some existing or new features is many times try and error which can be frustating.

- Many questions could be easily answered with better documentation and the community is flogged with question on "how to use xxx.. the documentation is not clear or does not say anything..."

-As we are in the manufacturing sector, we'd like to see more development into the wired Ethernet capabilities.

-There has been many firmware release lately so sometimes is difficult to keep up with your product. Review collected by and hosted on G2.com.

The support, developer community, technical documentation, and the scalability of the Particle platform. I have run into several issues with the compiling my code and the users on the particle forum have helped troubleshoot my issues. Review collected by and hosted on G2.com.

The only issue with Particle platform is that there seems to be a slightly larger learning curve for beginners in the Arduino world. I am mostly familiar with the Arduino IDE, so I had to do a little digging to see what I could and couldn't do with the Particle platform. Another thing is that some of the standard Arduino libraries may be fully supported on the particle platform. Review collected by and hosted on G2.com.

I don't want to pick just one best thing, there are several reasons that make the experience positive and are the reason why I recommend Particle to anyone who is building IoT projects.

1. Simple internet connectivity: Built-in and effortless internet connectivity that makes accessing the device simple yet secure, without having to develop special dashboards.

2. Documentation: Every API function is meticulously documented, explains the functionality in a simple manner and it's always kept up to date.

3. DeviceOS updates: The DeviceOS updates make the Photon faster with every version, and the nice thing is that I do not have to buy a new device to get the upgrade. I can do it on all the devices, regardless of the age, even my 5+ years old Photon. The VS Code plugin makes it very simple to pick the new deviceOS version and flash it to the device.

4. Cloud compile: With the cloud compile, I do not have to download and set up the toolchain, just click a button and the device is automagically updated in less than a minute. Tying that to point 3., this also works with DeviceOS updates, again allowing me to install a new version without having to wait for downloads and set up a new toolchain. Review collected by and hosted on G2.com.

Can't think of anything, for my use cases the experience was flawless. The only problem I had was in the transition to deviceOS@2-RC (Release Candidate). But that is kind of expected since it was not a stable release. The problems were resolved with the version of deviceOS@2.0.0. Review collected by and hosted on G2.com.

Particle allows my company to quickly build IOT solutions that are designed to exactly fit the needs of my customers. This enables them to do things that makes their jobs simpler and faster. Review collected by and hosted on G2.com.

Using particle over a platform like Arduino has large advantages in terms of ease of connectivity, but there isn't quite as much documentation all over the web, nor as many libraries built on the platform, so it at times excludes more novice programmers from being able to actualize a project. This in general adds some time to projects.

I personally would like to see some supported branching into machine learning inference on device. This is a huge opportunity. I have personally used random forests on device with much success and am in the process of getting Googles Tensorflow lite micro running on device. Having a library for this would make the process much simpler, and allow novices to leverage this powerful technology. Review collected by and hosted on G2.com.