IoT Integration Reviews and Ratings

If you are developing an multi-device access IoT Solution working over Internet AWS Greengrass feature is the one of best solution for your demand. Other very good thing with GreenGrass, it has abilities to be integrated with other micro services serviced by AWS. However it has very less documentation on internet about GreenGrass

Need more modules to enable more systems and sources data integration, scalability is needed, minimize bugs on UI and it could be more transparent and user friendly to end user.

My overall experience with AWS IoT Core has been exceptional. It has very robust security mechanisms such as encryption & identity management, which makes it safe to transfer information from & to the cloud between IoT devices. Businesses can easily scale by adding more IoT devices while maintaining performance, thanks to the fact that AWS IoT Core supports a high number of devices with ease. AWS IoT core offers the ability to collect & process data in a timely manner which is critical for performances-based application where action or insight is needed immediately.

Provide a good Platform to connect with your IOT devices. Very User Friendly User Interface Provided to deal with your devices.

The experience in general terms I have to recognize that it has been very good, it helps us to have our work teams integrated and have detailed information on their performance in real time. All this very well configured through a very simple and detailed access that allows us to see from a global perspective our teams, the resources they consume, the hours that are operational among many other things.

Stable service is good, but i expect that the price wii be more lower. I wish the vendor's improve.

Implementation was very good even though we had some initial glitches. Some devices have failed leading to customers sites being monitored.

One of the best data analysis services we use really fulfills what it offers. His innovation with the internet of things is amazing.

Very good API and overall customization capabilities of the product. Good documentation of all elements. Fast response on tickets. Good support with e.g. trainings.

Revolutionizing in the IT sector in the current decade is the IoT based applications and Oracle provides the best solution for the IoT application by easily building it on the internet is what i most liked about the product. Overall experience is much satisfied with this product. But it has some lag over the version up-gradation.

TIA Platform is up and running at our company. Being more than an ordinary IoT platform that acquires, stores distributes, and processes data, the platform is smart and has advanced AI capabilities for us to make quality decisions for predictive maintenance, energy minimization, production planning, and OEE optimization. We strongly recommend the TIA Platform to any process industry facility. The types of data collected contain sensors, PLC, ERP, X-ray images, environmental data, and more. TIA Platform is easy to deploy, easy to use, scalable, easy to customize, and has proven its impact with quantitative KPIs. Our experiences also provided evidence that the platform is seamlessly and successfully maintained by TEKNOPAR.

This software is complete package, it is open for all communications like OPC with any DCS. The data can be modulated in n number of modes. The cloud connectivity methods are provided with ample options. The data can be read from multiple file types or sources. The cost is also cheaper then the available products in the market. the pricing plans are good.

Quite satisfied with the ease of development and use as our usecase was development from scratch and we were open for any communication protocol. Application integration and data ingestion were very easy with well available configuration options. UI for platform is robust with wide options available for quick testing of telemetry data ingestion. Live graphing tool of telemetry data integrated with platform was very useful for quick customer demo. We used only basic stream analytics on platform for sanity checks and it was good. integration to other machine learning models required quite some effort with deployment of VMs since runtime for tensorflow was not readily available.

automation is very easy and friendly with this software. we can workout our own combination and get this done very easily which greatly improved our process capabilities and timeline.