Best IoT Software Tools

Jan 13, 2022
10 min read

The Internet of Things (IoT) retail software market is expected to experience significant growth over the next few years.

Organizations of all sizes increasingly use the IoT to communicate real-time data from device and sensor networks.

Today, billions of physical devices worldwide are connected to the Internet to collect and share data. Moreover, as the price of computer chips has taken a downtrend and wireless networks have become nearly ubiquitous, IoT adoption has increased dramatically across industries. Owing to this, the world has become "smarter" when merging the digital world with physical objects.

IoT software platforms help manage the networks of devices and sensors that many organizations use to communicate real-time data around supply chains, fabrication shops, security systems, and more.

Here are some examples of IoT-based solutions:

Smart bulbs controlled by the app
Smart and self-adjusting thermostats
Cargo temperature monitoring sensors
Smartwatches and fitness bracelets

The world is increasingly tuned in to the usefulness of the data insights acquired by the IoT, as computers have made their way into many aspects of daily life. For example, the Economist article reports that an economic forecast predicts that by 2035 the world will be using an estimated one trillion connected computers built into everything from food packaging to bridges and clothing.

Main Growth Drivers

The primary growth driver in the IoT software platform market is the increasing adoption of IoT technology across a wide range of institutions and entities. In addition, the increased personal use of the IoT, such as smart wearable devices, is also at stake here.

As the Internet becomes more accessible globally, especially with the advent of 5G, we can expect to see the adoption of IoT software increase in tandem.

Primary Industries

The use of IoT software is pervasive in these sectors:

Health care
Manufacturing
Transport
Supply Chain
Retail
Municipalities
Agriculture
Finance
Assurance

Features of IoT Software

IoT software helps organizations understand the massive amount of data transmitted between IoT devices and sensors.

Users can view real-time data from a centralized desktop interface and immediately apply data insights. For example, suppose an IoT temperature sensor signals that the temperature inside a product warehouse is not ideal. In that case, a company can make adjustments (often remotely, with innovative thermostat systems) and make the adjustments. HVAC repairs are needed.

IoT software includes centralized, cloud-accessible desktop interfaces that organizations can easily share data insights and collect data in the field. Other typical features include:

Data management tools
Data analysis tools
Device management
Security features to protect IoT endpoints
Application development assistance
Alarms and alerts

Notable benefits of IoT software platforms include:

Facilitate the process of collecting and using Big Data
Real-time information from sensors and other intelligent monitoring devices
Centralize and organize incoming and outgoing data from IoT device and sensor networks

IoT Software Use Case

Monitoring the quality of the indoor environment
Wireless IoT sensors transmit air quality and other indoor climate metrics to IoT software platforms, so building managers, service providers, and others can make necessary adjustments for health and comfort.

Energy consumption management
IoT software reduces energy costs by providing data insight from IoT sensors. Primarily, the systems can even integrate with automated HVAC controls to maintain predetermined energy settings. In addition, users can also opt for real-time notifications of significant changes in power consumption, which will reduce repair time for electrical and plumbing issues.

Consumables monitoring
Across the service industry, IoT software platforms help managers track the consumables their customers are using. For instance, a hotel can use IoT sensors to report data on the condition of consumables in guest rooms, a figure that can vary widely from room to room. So when supplies like hand soap or in-room coffeemaker run out, staff can target specific rooms, reducing time wasted checking rooms with plenty of supplies on hand.

Traffic control
Transportation engineers can use data from IoT sensors at intersections, traffic lights, and public transportation to analyze traffic patterns, which inform their decisions about transportation projects and repairs. For example, IoT sensors can count vehicles, monitor speed, and check road temperature conditions, allowing for more efficient weather preparation before traffic spikes in winter.

Predictive repairs and maintenance
Wireless IoT sensors can record data on the condition of devices, plant machines, fleet vehicles, tools, and all the equipment businesses need to stay in good working order. This data will reduce repair costs and improve maintenance programs, reducing downtime.

Smart cities
Regional IoT programs can help city planners and regional planners create cities and communities more efficiently at a large geographic scale. For example, sensors and mobile devices can provide data to IoT software platforms to help planners determine where to place traffic lights, improve infrastructure, and examine how residents use their community.

Supply chain improvements
When perishable goods, in particular, have to be transported, large sums are at stake. If goods arrive damaged, money is lost throughout the supply chains, from producer to consumer. IoT sensor data on shipping conditions provides valuable insight into how supplies hold up under current shipping conditions, allowing carriers to make adjustments on the fly.

IoT software vendors
These ten companies account for the majority of the IoT software market share globally:

Amazon Web Services (AWS)
AT&T
Robert bosch
Cisco Systems
IBM
Oracle
SAP
Siemens
Broadcom
Texas instruments

Zetta

https://www.zettajs.org/

Zetta is an API-based IoT platform based on Node.js. It is considered a complete toolkit for building HTTP APIs for devices. Zetta combines REST APIs and WebSockets to build data-intensive, real-time applications. Here are some notable features.

  • It can run in the cloud, on a PC, or even on modest development boards.
  • Easy interface and programming are needed to control sensors, actuators, controllers to begin with.
  • Concedes developers to assemble smartphone apps, device apps, and cloud apps.
  • It is developed for real-time and data-intensive applications.
  • Turn any machine into a PLC.

Arduino

https://www.arduino.cc/

If you are looking to create a computer that can perceive and exert more robust control over the real world when linked to your ordinary stand-alone computer, then Arduino maybe your wise preference.

Offering an appropriate mix of IoT hardware and software, Arduino is an easy-to-use IoT platform. It works through a range of hardware specifications that can be given to interactive electronics. In addition, Arduino software fits into the blueprint of the Arduino programming language and integrated development environment (IDE).

Open Remote has introduced a new open-source IoT platform to build professional energy management, crowd management, or generic asset management applications.

Summarizing the most important features:

Generic asset and attribute model with different types of assets
Protocol agents like HTTP REST or MQTT connect your IoT devices, gateways, or data services or create a missing vendor-specific API.
Stream editor for data processing and a WHEN-THEN and Groovy interface for event-based protocols.
Standard CMS for automating, controlling, and monitoring your application and web UI components for building project-specific applications.
Android and iOS consoles allow you to connect to your phone services, such as geographic fences and push notifications.
Edge Gateway solution to connect multiple instances to a central management instance.
The multi-tenant multi-domain solution, combined with account management and identity service.

Open Remote

Open Remote has introduced a new open-source IoT platform to build professional energy management, crowd management, or generic asset management applications.

Summarizing the most important features:

Generic asset and attribute model with different types of assets
Protocol agents like HTTP REST or MQTT connect your IoT devices, gateways, or data services or create a missing vendor-specific API.
Stream editor for data processing and a WHEN-THEN and Groovy interface for event-based rules.
Standard dashboard for provisioning, automating, controlling, and monitoring your application, as well as web UI components for building project-specific applications.
Android and iOS consoles allow you to connect to your phone services, such as geographic fences and push notifications.
Edge Gateway solution to connect multiple instances to a central management instance.
The multi-tenant multi-domain solution, combined with account management and identity service.

Node-RED

https://nodered.org/

Node-RED is a visual tool for aligning the Internet of Things - connecting hardware devices, APIs, and online services innovatively. Assembled on Node.js, Node-RED describes itself as "a visual way to wire the Internet of Things."

It concedes developers to connect devices, services, and APIs using a browser-based flow editor. It can run on Raspberry Pi, and 60,000 additional modules are accessible to increase its installations.

Flutter

https://flutter.dev/

Flutter is a programmable processor for electronics projects designed for students and engineers. The glory of Flutter is its long reach. The Arduino-based board comprises a wireless transmitter that can display up to over half a mile. Plus, you don't need a router; the floating panels can quickly interact with each other.

It consists of 256-bit AES encryption and is easy to use. Some of the other features are below.

Fast performance
Expressive and flexible user interface
Native performance
Visual finish and functionality of existing widgets.

M2MLabs Mainspring

http://www.m2mlabs.com/

Mainspring M2MLabs is an application framework for developing machine-to-machine (M2M) applications such as remote control, fleet administration, or intelligent terminal. Its facilities include flexible device design, structure, the connection between machines and applications, data validation and standardization, long-term data repository, and data recovery functions.

It is deployed on Java and Apache Cassandra NoSQL databases.
M2M applications can be customized in hours rather than weeks and then delivered to a high-performance runtime environment built on a standard J2EE server and the highly-scalable Apache Cassandra database.

ThingsBoard

https://thingsboard.io/

It is for device collection, processing, visualization, and management. It follows all standard IoT protocols such as CoAP, MQTT, and HTTP as quickly as cloud and on-premises deployments. In addition, it creates workflows based on design lifecycle events, REST API events, and RPC requests.

Let's take a look at the below ThigsBoard features.

A stable platform that combines scalability, production, and fault tolerance.
Effortless control of all connected devices in an exceptionally secure system
Transforms and normalizes device inputs and facilitates alarms to generate alerts on telemetry events, restores, and inactivity.
Activate usage state-specific functionality using customizable rule groups.
Govern millions of devices at the same time.
No single point of failure because every node in the bundle is exact.
Ready-to-use multi-tenant installations.
Thirty highly personalized dashboard widgets for successful user access.

Kinoma


Kinoma is a Marvell Semiconductor hardware prototyping platform involving three open-source projects:

  1. Kimona Create is a DIY construction kit for prototyping electronic devices.
  2. Kimona Studio is the development environment that commissions with Set up and the Kinoma Platform Runtime.
  3. Kimona Connect is a free iOS and Android app connecting smartphones and media with IoT devices.

Kaa IoT Platform

https://www.kaaiot.com/

KKaa is a versatile, flexible, and production-ready middleware platform for building end-to-end IoT solutions, connected applications, and intelligent devices. It comprehensively performs efficient communication, process, and interoperate capabilities in connected and intelligent machines.

It mounts from small startups to large enterprises and contains advanced deployment models for multi-cloud IoT solutions. It is based chiefly on flexible microservices and easily conforms to pretty much any need and application - a few other features as below.

Facilitates interoperability between devices.
Perform real-time device control, provisioning, and structure of remote devices.
Build cloud services for innovative products
It consists of thematic alert systems to enable end-users to deliver messages of any predefined format to subscribed endpoints.
Perform real-time device monitoring
Manage an infinite amount of connected devices
Collect and analyze sensor data
Perform real-time device monitoring
Manage an infinite amount of connected devices
Collect and analyze sensor data

SiteWhere

https://sitewhere.io/

SiteWhere platform offers ingestion, repository, processing, and assimilation of device entries. It runs on Apache Tomcat and provides highly tuned MongoDB and HBase implementations. You can deploy SiteWhere on cloud platforms like AWS, Azure, GCP, or on-premises. It also supports Kubernetes cluster provisioning.

Here are some of the other features.

  • Run any estimate of IoT applications on a single SiteWhere instance
  • Spring brings the root config framework.
  • Add widgets through auto-registration, REST services, or in batches.
  • InfluxDB for storing event data
  • Connect devices with MQTT, Stomp, AMQP, and other protocols
  • Integrates third-party integration frameworks
  • Eclipse Californium for CoAP messaging
  • HBase for the non-relational database
  • Grafana to visualize SiteWhere data

Distributed Services Architecture (DSA)

https://iot-dsa.org/

DSA is intended to implement cross-device communication, logic, and efforts at every stage of the IoT infrastructure. It enables cooperation between devices in a distributed fashion and sets up a network engineer to share functionality between discrete computer systems.

You can manage node attributes, permissions, and links from DSLinks.

Thinger

Thinger.io provides a scalable cloud base for connecting devices. You can process them quickly by running the Admin Console or combining them into your project logic using their REST API. It supports all types of hacker boards such as Raspberry Pi, Intel Edison, ESP8266.

Thinger can be integrated with IFTT and provides real-time data on a beautiful dashboard.

Conclusion

IoT software platforms will continue to play a critical role in how businesses apply information to IoT data. However, without a reliable analytics engine at the operations center, IoT data cannot be replaced to aid teams in making informed decisions that impact everything from customer comfort to building safer, more user-friendly communities.