IoT devices are everywhere, from manufacturing to healthcare to wearables. Organizations use IoT sensor equipment or vehicles to collect data and automate back-end processes to improve customer experiences and create new business models. But deploying these connected devices to get value from data can be challenging. Vendors are helping companies address this challenge with IoT SaaS platforms.
For several years, IoT has been a competitive advantage for the company. When done right, organizations can collect invaluable data to improve efficiency and forecast the future. However, they must overcome difficulties in the adoption phase, also called pilot purgatory. IoT implementations require infrastructure other than the business norm, including the cloud. Hardware and security standards in IoT devices have yet to be established, and the issue of processing data near IoT devices, rather than in the enterprise cloud, adds to the complexity and cost of implementing IoT.
A growing number of IoT SaaS providers offer platforms that serve IoT architecture and processing needs directly, eliminating the need for large investments in gateways, edge servers, fog nodes, and other IoT-specific components.
One challenge when choosing between IoT SaaS providers is that while many have similar features, including scalability, real-time data capture, and machine learning, they have vastly different pricing models, so it’s a consideration. major purchase. Before investing in an IoT SaaS platform, it is important to determine the number of devices the organization will use, as well as the volume of data, and whether the organization will use vendor analytics.
To help simplify the process of selecting an IoT SaaS platform, here we look at eight leading vendors.
Google Cloud IoT Core
Building on the multi-layer architecture of its core cloud, Google’s IoT SaaS platform supports a wide range of operating systems, offers machine learning capabilities, and accepts real-time data, making it a contender for applications of buildings and smart cities, as well as for real-time monitoring of equipment and assets.
Real-time data capture and AI enable rapid system response in supply chain and transportation scenarios. Machine learning functionality provides insights into the behaviors and performance of systems that are spread over wide areas.
Security includes JSON web tokens that enable device-by-device public and private key authentication, and keys can rotate, as well as role-based permission and signature verification algorithms for API access.
Pricing is per minute and scales by volume. A free version offers up to 250 MB per month.
IBM Watson IoT Platform
Watson IoT Platform includes a range of IoT business operations services, bundled to focus on enterprise asset management, facilities management, or engineering applications. Each of these offerings provides security and enhanced data capture features, including in real time. This approach emphasizes the optimization of operations, which makes it well suited for Industrial IoT (IIoT). Two-way communication increases the potential intelligence of the application.
Its AI and analytics can be configured as a service, a convenience that simplifies and broadens deployment options for that functionality.
Pricing starts at $500 per instance, per month and is based on three metrics: data traffic, data analytics, and edge data analytics. The first 100 MB per month are free.
Innovative Routines International (IRI) Voracity is a data manipulation engine that can rapidly aggregate data in edge environments, with robust analytics capabilities that can run on a wide range of platforms: Windows, Linux, Unix, and even Raspberry Pi.
Its key features include fast, big data-friendly extraction, transformation, and loading; centralized administration; and a data governance portal that you can search across silos. It also has strong encryption and anonymization utility and can integrate log data from many sources. Its built-in analytics functionality is focused on big data.
Prices vary considerably, depending on the components used, from less than $1,000 a year.
Microsoft Azure IoT Center
The Azure cloud environment is one of the most mature and complex on the market. Its IoT SaaS platform provides built-in analytics, machine learning, and a facility to handle structured and unstructured data in the same context. Administrators can enable the deployment of applications and workflows through pre-existing Azure resources, providing highly customizable applications. The platform can be easily integrated with other platforms, including many CRM and ERP systems, as it inherits all connectivity from Azure’s own cloud environment. There is also a REST API for custom integrations.
This combination of features enables a broad spectrum of potential applications, from smart buildings and cities to advanced industrial robotic process automation and large-scale predictive maintenance. The platform is designed for both beginners and experts.
Microsoft offers a four-tier pricing schedule that is based on the volume of incoming data. Less than 8000 messages per unit, per day are free.
Oracle IoT provides a set of preconfigured, application-specific IoT SaaS offerings, based on its modular cloud architecture. Each one of Oracle IoT Cloud Services focuses on a particular IoT application domain:
- Production Monitoring Cloud Service tracks equipment performance and predicts machine failures, enabling preventative maintenance.
- Asset Monitoring Cloud Service facilitates real-time visibility and predictive intervention automatically.
- Fleet Monitoring Cloud Service offers real-time vehicle location, geographic tracking and cost auditing. You can also monitor the actions and behaviors of the unit.
- Cloud service for connected workers tracks worker movement and environmental monitoring to improve safety conditions.
- Service Monitoring for Connected Asset Cloud Service offers service channel monitoring with root cause diagnosis; this is good for tracking and locating assets as well as preventing theft.
Pricing is calculated per device using a pay-as-you-go model based on resource consumption. There are no initial commitments or service subscriptions, and there is no minimum service period.
Particle’s IoT platform includes three products (Wi-Fi, Cellular and Tracker) for connectivity. Its software includes an operating system, cloud-based management and rules engine for IoT message management, as well as an SDK. The main strength of the platform is that it requires no experience to implement and is backed by an extensive support team of IoT experts, as well as a strong community of users.
Its API integration is through REST and it can work with data from Google or Microsoft clouds. IoT devices can be monitored in real time (useful for vehicle tracking and environmental monitoring) and their analytics for predictive maintenance They’re strong.
The cost is per blocks of service and ranges from $99 to $599 per month, per block. One block includes 720,000 data operations per month and support for an additional 100 devices. Data operations are user-initiated activities, such as sending, receiving, or storing data.
Salesforce Internet of Things
Salesforce IoT is highly scalable, consistent with its overall cloud architecture. Its interfaces offer fast connectivity to a wide range of ERP, CRM and database platforms. The application development tools available in the general Salesforce cloud platform can be used for IoT development, and many users can implement new IoT applications without having to code.
Salesforce IoT The REST API enables data to be imported from any source. It accepts streaming data and users can create IoT device profiles in apps to contextualize data, using Salesforce CRM capabilities. The platform works with a wide range of data formats.
Contact Salesforce for pricing information.
Focused on IIoT, Thingworx is ideal for hybrid environments on and off premises. It is flexible and can be implemented quickly with minimal customization. It is ideal for remote device monitoring in complex hybrid deployments and has great utility for remote device maintenance. In this hybrid combination, data can also be easily accessed from on-premises servers and cloud applications, making it ideal not only for industrial applications, but also for complex service environments.
Its seamless integration of devices across environments and geography enables high system visibility and control, strong compliance and asset optimization. Uptime is preserved and costs are more easily managed.
Contact Thingworx for pricing.