Anywhere in the world, you look forward to you will find various IoT devices. Right from the healthcare to manufacturing unit even to the variable the IoT devices are quite of the funeral. Organizations changed to take the help of the IoT sensors in various equipment and vehicles to automate the back and process and collect data. This method helps to improve the customer experiences while creating new business models. However, it becomes challenging to deploy the connected device in order to get the needed value from the data. Therefore providers are helping their clients to address this challenge with the help of IoT app development companies.
The Concept of IoT
It happens to be providing a competitive age to all the Enterprise. It helps to collect invaluable data that helps to improve efficiency. Along with that one can also forecast the future with the help of the internet of things. With the advantages comes the complexities. The IoT becomes especially difficult during the adoption phase. The deployment related to it requires the necessary infrastructure. It must be different from that of the enterprise norms which even include the cloud. The security standards and the hardware in various IoT devices cannot be settled. Due to this reason, the problem of processing data that is close to the IoT device adds up expenses and complexities during its deployment process.
As you hire SaaS developers you tend to get the platform that offers services related to IoT architecture. They help to eliminate the need for deep investment in servers or gateways. Apart from that, you can also expect various are you to specific components including the fog nodes.
Challenges in Choosing IOT
One of the biggest challenges that one might face while choosing among the various IoT SaaS platform providers is the fact that they come with various pricing models. Though while you develop SaaS applications, you can notice similar features that include real-time data capture, scalability, and machine learning. But the different pricing model makes it one of the crucial bases for considering its purchase. Hence before any client wants to invest in the IoT SaaS platform, it becomes important to determine the various number of devices that the organization would be using. It also includes the data volume and different information like whether the organization would be taking the help of providers’ analytics or not.
8 prominent IoT SaaSprovider
In order to simplify the selection process of the IoT SaaS platform here are the 8 prominent providers that you can trust.
- Google Cloud IoT Core
Building on the multilayered architecture of the parent cloud the platform offers machine learning functionalities that help to accept real-time data. This helps to build smart city applications with the help of real-time monitoring of assets and equipment. The machine learning functionality offers insight into the performance and systems that happen to be disbursed over wide areas.
- IBM Watson IoT platform
The IoT platform offers a white range of business operation services, engineering applications, and management facilities. The analytics and AI could be configured as services that help to expand and simplify the deployment options for the functionalities. This particular approach emphasizes the optimization of operations while making the platform suitable for IoT in industrial communication.
- IRI voracity
It helps to manipulate the data rapidly with the help of strong analytics capabilities. Some of the key features include big and fast data-friendly extract with the help of centralized administration and transform and load. It also has strong encryption along with an anonymization utility. The embedded analytics functionality happens to be data-centric.
- Microsoft Azure
The Azure cloud environment is intricate and the most mature in the market. The IoT platform offers machine learning, built-in analytics, and a facility for constructing and handling structured data. With the help of this, the administrators can enable the work for deployment with the help of pre-existing resources of Azure. Due to this one can expect highly customized applications. The platform happens to integrate easily with the platforms including ERP and CRM systems. The combination of the features makes a broad spectrum of possible and potential applications.
- Oracle IoT
Oracle IO t helps to provide application-specific sets of pre-configured IoT SaaS offerings. Each of these services for this is on a particular application domain related to it. Some of these are production monitoring cloud services, asset monitoring cloud services, fleet monitoring cloud services, services monitoring for connected acid cloud services, and connected worker cloud services. The pricing of this platform varies from one service to another. You do not have to deal with any service subscription or upfront commitments as there happens to be no minimum service period.
- Particle
With this platform, you can expect 3 products including cellular, Wi-Fi, and a tracker for connectivity. The inclusion of the operating system in this software along with the cloud-based management provides the primary strength. With the help of API integration, one can work with data from either Microsoft cloud or Google. The developers can also monitor the IIT device in real-time which becomes helpful during the environmental monitoring and vehicle tracking. The best part is that the analytics for predictive maintenance of this platform happens to be quite strong.
- Salesforce IoT
This platform features high scalability that helps to keep up with overall cloud architecture. Its interface offers Rapid connectivity to a wide range of database platforms including CRM and ERP. However, the application development tools could be availed. The different salesforce cloud platforms that one can use for the development of IoT. Most of the users can implement new IoT applications on this platform even without using codes.
The best part is that you can also enable the import of data from different sources. It helps to accept the streaming of data where the user can create different profiles of IoT devices in the application. One can also contextualize the data with the help of resources provided by Salesforce’s CRM. For the more, the platform happens to work with a broad range of data formats.
- Thingworx
Focusing on the IoT concept, Thingworx happens to be ideal for both hybrid off-premises and on-premises environments. It is one of the flexible platforms that one can deploy rapidly with the help of minimum customization. It is also ideal for remote device monitoring, especially in hybrid and complex deployment. The strong utility of this platform helps in maintaining remote devices. You can even store data in this hybrid mix. Apart from that one can also easily access the cloud application and on-premise service making this platform to be ideal for both complex service environments and industrial applications.
In addition to that, the smooth integration of the device across the geography and environment helps to enable high system visibility and control. Besides, asset optimization and strong compliance are the plus points for relying on this platform. With the preservation of uptime, one can easily manage the cost with this platform.
Bottom line
The different platforms offer different features and advantages. For instance, if you are looking for something that is easy to use. You can choose the Google cloud platform, Salesforce IoT, or even the particle. You can also expect good community support from various platforms. Apart from that, there are various platforms that offer good industrial IoT solutions. In addition to that, you can also expect various platforms that offer good integration options but that comes with a lot of prices.
