10 Best IoT Platforms Tools in 2026

K3s is lightweight Kubernetes that runs anywhere. Certified Kubernetes with minimal resources—container orchestration for edge, IoT, and development. The installation is trivial. The resource usage is small. The compatibility is full. Teams needing Kubernetes without heavy infrastructure choose K3s for lightweight orchestration.

Node-RED connects IoT and APIs visually. Flow-based programming for automation—wiring things together without deep coding. The visual approach is accessible. The IoT integration is strong. The use cases span devices and services. IoT projects and automation enthusiasts use Node-RED for flow-based integration.

Losant is an Enterprise IoT Platform designed to accelerate the creation of IoT products and solutions. It provides a comprehensive suite of tools for connecting, visualizing, and automating devices and data, enabling businesses to gain real-time insights and actionable intelligence. The platform features a low-code workflow engine that collects, centralizes, and integrates data from various connected devices and systems, facilitating seamless data orchestration and visualization. Losant is ideal for enterprises looking to transform their operations, manage asset inventory and conditions, and turn products into intelligent assets. It offers custom branding, API integration, multi-tenancy, and an edge agent for integrating with PLCs, CRMs, and cloud services like Azure/AWS. The platform emphasizes agility, flexibility, and scalability, handling millions of data points per second, and supports the creation of custom end-user experiences from real-time data.

OctoPrint is a free and open-source web interface that allows users to remotely control and monitor their 3D printers. It runs on a small, dedicated computer like a Raspberry Pi, connecting directly to the printer. This setup enables users to manage print jobs, view live webcam feeds, and adjust printer settings from any device with a web browser, eliminating the need to be physically present at the printer. The software provides comprehensive control over the 3D printing process, including starting, pausing, and stopping prints, monitoring temperature, and controlling printer axes. It is designed for 3D printer enthusiasts, hobbyists, and professionals who want greater flexibility and convenience in managing their print operations, especially for long or numerous print jobs. Key benefits include enhanced workflow, remote access, and the ability to detect and address issues early, reducing failed prints and material waste.

Ubidots is an Industrial IoT platform designed to help businesses maximize machine uptime, improve efficiency, and drive digital transformation. It provides tools to swiftly connect machines, visualize data, and trigger custom actions based on real-time insights. The platform enables data-driven decisions through codeless visualizations, smart alerts, scheduled reports, and data analytics. It supports various IoT integrations and connectors, allowing for quick deployment of Industry 4.0 solutions. Ubidots also offers cloud-based SCADA enhancements, interoperability with existing CMMS and MES software, and granular user permissions with custom branding to ensure organizational adoption. Ubidots caters to a wide range of industries including manufacturing, oil & gas, mining, energy management, water management, agriculture, healthcare, smart cities, and building management. It aims to accelerate the IoT journey for companies looking to turn ideas into digital transformation, offering flexible plans from professional use to enterprise-level deployments with custom capacities and dedicated support.

Arduino Cloud is a comprehensive IoT platform designed to help individuals, schools, and businesses quickly bring their connected projects to life. It provides an intuitive environment to create, visualize, and control sensor data from anywhere, supporting a wide range of Arduino and ESP-based boards, as well as third-party devices that speak Python, MicroPython, Javascript, or Node-RED. The platform offers features like customizable dashboards for real-time monitoring and control, over-the-air (OTA) updates for devices, and effortless device-to-device communication. Users can manage their projects on the go with the free IoT Remote app. Arduino Cloud aims to simplify complex IoT tasks, making it accessible for both beginners and experienced makers to develop and deploy their IoT solutions efficiently.

ThingsBoard is an open-source Internet of Things (IoT) platform designed for comprehensive management of IoT solutions. It facilitates device connectivity using industry-standard protocols like MQTT, CoAP, and HTTP, and supports both cloud and on-premises deployments. The platform offers robust capabilities for provisioning, monitoring, and controlling IoT entities, defining relationships between devices, assets, and customers, and collecting and visualizing telemetry data in a scalable and fault-tolerant manner. ThingsBoard caters to a wide range of IoT use cases, including smart energy, smart farming, fleet tracking, smart metering, environment monitoring, smart office, and water metering. It provides a powerful rule engine for data processing, transformation, and normalization, enabling users to raise alarms based on various events. The platform is built with a microservices architecture, ensuring scalability and fault-tolerance, and offers different editions including a Community Edition, a Professional Edition with advanced features like white-labeling and advanced RBAC, and a fully managed Cloud service.

Blues provides a comprehensive device-to-cloud system designed to simplify the integration of wireless connectivity into IoT applications. It offers plug-and-play hardware, global cellular connectivity, cloud infrastructure, and fleet management capabilities, enabling businesses to get their connected products to market faster and with less complexity. The platform is built for various industries including transportation and logistics, commercial equipment manufacturing, commercial buildings and facilities, environmental monitoring, agriculture technology, energy monitoring, and construction. It handles the technical heavy lifting, allowing developers and businesses to focus on product innovation and growth. Key benefits include accelerated development cycles, enterprise-grade security, predictable costs, and the flexibility to integrate with existing development tools and cloud providers.

TagoIO is an Internet of Things (IoT) cloud platform designed to simplify the development, deployment, and management of IoT applications. It provides tools for connecting various IoT devices, processing their data, and building custom dashboards and analytics. The platform aims to make IoT accessible and efficient for businesses by offering templates, connectors, and an emulator for validation. This platform is ideal for businesses and developers looking to quickly build and scale IoT solutions without extensive coding or infrastructure management. It supports a wide range of connectivity options and device types, enabling users to transform raw sensor data into valuable insights and create powerful applications for various use cases, such as asset tracking, renewable energy monitoring, and smart city initiatives. TagoIO focuses on ease of use, allowing users to build, customize, and deploy IoT solutions with a streamlined workflow. It offers features like device management, real-time data analysis, customizable dashboards, and access control, all within a scalable cloud environment.

Golioth provides a complete device-to-cloud foundation specifically designed for hardware teams building IoT products. It eliminates the need for extensive custom cloud infrastructure development, allowing teams to focus on their core product. The platform supports a wide range of hardware and RTOS, enabling rapid prototyping and deployment of connected devices. Golioth offers robust device management capabilities, including secure over-the-air (OTA) updates, remote configuration, and comprehensive logging. Its 'Pipelines' feature simplifies data routing and transformation, allowing raw device data to be easily sent to various cloud services, analytics platforms, or AI models. The platform also integrates hybrid AI orchestration, enabling edge inference and continuous model improvement using real-world data from deployed devices. Security is built-in from the ground up with end-to-end encryption and certificate authentication.