Connectivity
The 9 most useful IoT development tools
Compare IoT development tools for 2026, from cloud platforms to prototyping boards, plus the cellular connectivity layer developers can't skip.

Building an IoT product means juggling hardware, firmware, cloud services, and the connectivity that ties them together. The right IoT development tools shrink that work, letting you prototype faster, manage devices at scale, and ship with confidence.
This guide covers nine IoT development tools worth knowing in 2026, grouped by what they actually do. It moves from prototyping hardware to cloud platforms and the cellular connectivity layer many teams plan for too late.
Key takeaways
- IoT development tools fall into a few clear groups: prototyping hardware, IoT PaaS building blocks, ready-to-use IoT SaaS, open-source platforms, app and flow development, and the connectivity layer.
- An IoT PaaS gives you building blocks to code your own backend, while an IoT SaaS is a ready-to-use app you configure instead of build.
- Connectivity is its own layer, separate from your data platform. Cellular and eSIM let devices stay online wherever they deploy, and developers should plan for it early.
Types of IoT development tools
Most IoT development tools fit into one of six groups, and knowing the groups makes it easier to choose:
- Prototyping hardware and OS: single-board computers and their operating systems, such as Raspberry Pi OS, for early builds and edge devices.
- IoT PaaS (developer building blocks): managed cloud services like AWS IoT Core, Azure IoT Hub, and the Eclipse IoT projects that you assemble into a custom backend.
- Ready-to-use IoT SaaS: configurable applications like Azure IoT Central and Arduino Cloud that get you running with little to no code.
- Open-source platforms: self-hostable systems like ThingsBoard and OpenSCADA for teams that want full control.
- App and flow development: tools like Flutter and Node-RED for companion apps and wiring devices to services.
- Connectivity management: the cellular layer that keeps devices online, which we cover in detail below.
If the platform side is new to you, our overview of how IoT platforms work is a good starting point.
The 9 IoT development tools worth knowing in 2026
AWS IoT Core
AWS IoT Core is a managed cloud service that connects devices to AWS and routes their messages to other services. Developers use it to ingest device data over MQTT or HTTPS, apply rules, and trigger downstream workloads. It ships with device SDKs, fleet provisioning, and a device shadow that holds state while a device is offline.
Microsoft Azure IoT
Microsoft Azure IoT gives developers two paths. Azure IoT Hub is the PaaS layer of building blocks for device-to-cloud messaging, provisioning, and management. Azure IoT Central is a ready-to-use SaaS app you configure rather than code. Choose the Hub when you need control, and Central when you want speed.
Eclipse IoT
Eclipse IoT is a family of open-source projects for building IoT systems without vendor lock-in. It includes Kura for edge gateways, Paho for MQTT clients, and Ditto for digital twins. Teams use these pieces to assemble a stack they fully control.
Arduino Cloud
Arduino Cloud is an all-in-one platform for building, deploying, and monitoring IoT projects. It lets makers and developers connect boards, build dashboards, and push over-the-air updates from one place. It pairs naturally with Arduino hardware but also supports other boards.
Raspberry Pi OS
Raspberry Pi OS is the Debian-based operating system that runs on Raspberry Pi boards. Developers use it as the software foundation for prototypes and edge devices. Wide language support and a large community make it a common first stop for hands-on IoT work.
OpenSCADA
OpenSCADA is an open-source system for supervisory control and data acquisition. Developers use it to monitor and control industrial equipment, build operator interfaces, and log process data on self-hosted infrastructure. It suits teams that want an auditable, vendor-neutral stack for industrial monitoring.
Flutter
Flutter is Google's open-source framework for building cross-platform apps from a single codebase. IoT teams use it to ship companion apps, for example a control app for micromobility vehicles, that run on both iOS and Android. One codebase keeps mobile development lean.
ThingsBoard
ThingsBoard is an open-source IoT platform for collecting, visualizing, and managing device data. Developers use it to build dashboards, define rule chains, and manage devices, either self-hosted or in the cloud. It is a strong fit when you want an open platform you can extend.
Node-RED
Node-RED is a browser-based, flow programming tool that lets hardware and software communicate through a visual editor. Developers wire together devices, APIs, and online services by dragging nodes onto a canvas. That visual approach makes prototyping integrations fast.
IoT development tools compared at a glance
This table lines up the nine tools by category and best use, plus the connectivity layer that sits underneath them all.
| Tool | Category | Best for | Notes |
|---|---|---|---|
| AWS IoT Core | IoT PaaS (building blocks) | Custom cloud backends on AWS | Device SDKs, MQTT, rules engine, device shadow |
| Microsoft Azure IoT | IoT PaaS and IoT SaaS | Microsoft-based stacks | IoT Hub for building blocks, IoT Central ready-to-use |
| Eclipse IoT | Open-source frameworks | Vendor-neutral building blocks | Projects such as Kura, Paho, and Ditto |
| Arduino Cloud | Ready-to-use IoT SaaS | Makers and rapid prototyping | Dashboards, over-the-air updates, device management |
| Raspberry Pi OS | Prototyping hardware and OS | Single-board prototyping and edge | Debian-based OS with broad language support |
| OpenSCADA | Open-source platform | Industrial monitoring and control | Self-hosted supervisory control and data acquisition |
| Flutter | App development framework | Cross-platform companion app | Single codebase for iOS and Android |
| ThingsBoard | Open-source IoT platform | Device data visualization | Self-host or cloud, dashboards, and rule |
| Node-RED | Flow-based development | Wiring devices, APIs, and services | Visual, browser-based flows |
Connectivity for IoT development: cellular and eSIM
Every tool above assumes your devices are online. Connectivity is its own layer, and for devices that move or deploy far from Wi-Fi, cellular is often the most dependable choice. Cellular networks offer broad coverage, strong security, and the reach to deploy the same device almost anywhere.
eSIM for IoT, built on the eUICC standard, lets you provision SIMs over the air and switch carrier profiles remotely. That matters for hard-to-reach and outdoor deployments, where sending a technician to swap a physical SIM is slow and costly. For low-power devices, low-power wide-area network (LPWAN) options such as LTE-M and NB-IoT stretch battery life while keeping devices connected.
This is where Hologram fits. Hologram is a cellular connectivity management provider, not a data-hosting platform. It manages the connectivity layer, your SIMs, coverage, and uptime, through a SIM management dashboard and API, while your device data stays in whatever platform you choose. Developers can activate SIMs, pause or resume data, and manage fleets remotely through the same API.
Coverage spans over 550 carriers across more than 190 countries, backed by a contractual 99.95% uptime SLA. More than 6,000 businesses rely on Hologram, which ranked #1 in G2's Spring 2026 Implementation Index for IoT Management. For teams shipping worldwide, global IoT SIM cards remove the need to source a new carrier deal in every market.
FAQs
How do I add cellular connectivity to an IoT device?
Add a cellular modem or module to your device, then insert a SIM or provision an eSIM profile. A connectivity provider like Hologram activates the SIM, manages carrier access, and gives you a dashboard and API to monitor data usage and uptime.
Can I manage IoT devices remotely using APIs?
Yes. Most IoT platforms and connectivity providers expose REST APIs. With Hologram's API, for example, you can activate SIMs, pause or resume data, pull usage, and manage thousands of devices programmatically without touching each one.
What is the difference between an IoT PaaS and an IoT SaaS?
An IoT PaaS, such as AWS IoT Core or Azure IoT Hub, gives you building blocks to code your own backend. An IoT SaaS, such as Azure IoT Central, is a ready-to-use application you configure. A PaaS trades speed for control.
Which programming languages do IoT developers use?
Common choices include C and C++ for firmware, Python for prototyping and edge logic, JavaScript and Node.js for gateways and flows, and Dart with Flutter for companion apps. Most major platforms offer SDKs across these languages.
Is IBM Watson IoT Platform still available?
No. As The Register reported, IBM discontinued the Watson IoT Platform on IBM Cloud on December 1, 2023, with no direct replacement. Teams that used it have moved to alternatives such as AWS IoT Core, Azure IoT Hub, or ThingsBoard.
How do I choose the right IoT development tool?
Start with your use case and hardware, then match a platform to your need for control versus speed. Factor in language support, open-source versus managed hosting, and how you will connect devices in the field.
Choosing your stack
The best IoT development tools depend on what you are building, whether that is a quick prototype on a Raspberry Pi or a global fleet running on cellular. Pick the platform that fits your architecture, then plan the connectivity layer early so your devices stay online wherever they land. Get those two decisions right, and the rest of the build gets much easier.
Talk with an IoT expert to map the connectivity layer for your next IoT deployment.
