10 mejores plataformas de nube IoT revisadas en 2026

Nutanix is a versatile cloud platform designed for businesses needing multi-cloud management solutions. It serves IT teams by integrating cloud infrastructure, virtualization, and disaster recovery to enhance operational efficiency.

Why I picked Nutanix: The platform excels in multi-cloud management, allowing you to manage different cloud environments seamlessly. Nutanix Central and Cloud Manager are key features that provide centralized control and monitoring. Its Unified Storage offers scalable storage solutions, ensuring your data is always accessible. The platform's ability to integrate with various hybrid cloud solutions makes it ideal for businesses looking to expand their cloud capabilities.

Standout features & integrations:

Features include cloud infrastructure management that simplifies your team's operations, virtualization capabilities that enhance resource utilization, and disaster recovery solutions that safeguard your critical data.

Integrations include AWS, Microsoft Azure, Google Cloud, VMware, Kubernetes, Citrix, Red Hat, Oracle, SAP, and ServiceNow.

Blynk is an IoT platform that caters to developers and businesses looking to build IoT applications with a focus on mobile app integration. It enables users to create and manage IoT solutions that enhance connectivity and control through mobile devices.

Why I picked Blynk: It offers a user-friendly interface for building custom mobile apps, making it ideal for those who prioritize mobile integration. The drag-and-drop app builder allows you to design apps without extensive coding knowledge. It supports a variety of hardware platforms, providing flexibility for your IoT projects. Its cloud-based platform ensures you can manage devices and data efficiently.

Standout features & integrations:

Features include real-time data monitoring, which keeps you informed about your devices' status. The event-driven architecture lets your team automate responses to specific triggers. Customizable dashboards allow you to tailor data visualization to meet your specific needs.

Integrations include Arduino, Raspberry Pi, ESP8266, ESP32, Particle, NodeMCU, Intel, Micro:bit, and Linux.

Panoptica is a cloud-native security platform designed for IT professionals and businesses focused on enhancing their security posture. It provides tools to secure applications and manage vulnerabilities across cloud environments.

Why I picked Panoptica: It specializes in cloud-native security, offering in-depth vulnerability management and threat detection. The platform supports automated security checks, ensuring your applications remain secure without needing constant manual oversight. Its comprehensive dashboard gives you a clear overview of your security status. Panoptica's integration with multiple cloud services helps your team maintain consistent security policies across various platforms.

Standout features & integrations:

Features include automated compliance checks that simplify regulatory adherence. The threat intelligence feature helps your team stay informed about emerging security risks. A centralized management interface allows you to oversee security measures across all your cloud deployments.

Integrations include AWS, Google Cloud Platform, Microsoft Azure, Kubernetes, Docker, GitHub, GitLab, Jenkins, and Bitbucket.

Google Cloud IoT Core is a fully managed service designed for organizations that need to connect, manage, and ingest data from globally dispersed devices. It provides a secure and scalable infrastructure to handle IoT data efficiently for analytics and insights.

Why I picked Google Cloud IoT Core: It offers scalable infrastructure, which is crucial for businesses expecting rapid growth in IoT device connections. The platform ensures secure device connectivity with features like device authentication. Its ability to integrate with other Google Cloud services allows your team to perform complex data analytics. The managed service aspect reduces the burden on your IT resources, letting you focus on business operations.

Standout features & integrations:

Features include automatic device provisioning, which simplifies device onboarding. The data ingestion capabilities allow you to handle large volumes of IoT data seamlessly. Its real-time data processing supports immediate data analysis and decision-making.

Integrations include Google BigQuery, Google Cloud Pub/Sub, Google Cloud Dataflow, Google Cloud Functions, Google Cloud Storage, Google Cloud Machine Learning Engine, Google App Engine, Google Kubernetes Engine, Google Cloud IoT Edge, and Firebase.

Azure IoT Hub is a cloud-based service that lets companies connect, monitor, and manage IoT devices at scale. It’s built for teams that need secure, bidirectional communication between devices and the cloud.

Why I picked Azure IoT Hub: It gives your team the tools to manage millions of devices with fine-grained control over security, identity, and device states. You can set up automatic device provisioning and keep everything in sync using built-in message routing. It includes role-based access and per-device authentication to help meet strict security needs. The system supports both real-time and batch data flow, making it a fit for large-scale setups. It’s made for when you’ve got thousands of devices and need tight control from one place.

Standout features & integrations:

Features include device twins for tracking device conditions, automatic failover across regions, and support for multiple protocols like MQTT and AMQP. These tools help you keep devices responsive and reduce manual monitoring. You also get built-in metrics and diagnostics to keep an eye on device health.

Integrations include Microsoft Power BI, Azure Stream Analytics, Azure Machine Learning, Azure Event Grid, Azure Data Lake, Azure Functions, Azure Monitor, Azure Logic Apps, Azure Synapse Analytics, and Microsoft Defender for IoT.

AWS IoT Core is a cloud platform designed for businesses and developers needing efficient device management and data processing. It facilitates secure communication between IoT devices and the cloud, ensuring reliable data transfer and storage.

Why I picked AWS IoT Core: It excels in device management, offering features like secure device connectivity and real-time data processing. You can manage a vast number of devices without compromising security. The platform's rules engine allows you to process and route data efficiently. With its scalable infrastructure, AWS IoT Core supports your team's growing IoT needs.

Standout features & integrations:

Features include a device shadow service that lets you store the current state of each device. The message broker ensures low-latency communication between devices and the cloud. Its security features include mutual authentication and encryption, safeguarding your data.

Integrations include AWS Lambda, Amazon S3, Amazon DynamoDB, AWS Greengrass, Amazon Kinesis, Amazon SageMaker, Amazon CloudWatch, AWS CloudTrail, Amazon SNS, and Amazon SQS.

influxdata is a time series database platform designed for developers and businesses that need to handle large volumes of time-stamped data. It offers tools to collect, store, and analyze data, making it a valuable asset for IoT projects where timing is crucial.

Why I picked influxdata: The platform excels in managing time series data, which is essential for IoT applications. It features a high-performance engine that efficiently processes time-stamped data. The ability to handle real-time analytics allows your team to make informed decisions quickly. With its intuitive query language, influxdata simplifies data retrieval and analysis, making it a top choice for time-sensitive projects.

Standout features & integrations:

Features include a powerful data ingestion engine that supports high-speed data collection. The retention policy management helps you maintain control over your data storage. Its visualization tools enable you to create insightful dashboards that enhance data analysis.

Integrations include Grafana, Telegraf, Kapacitor, Chronograf, Prometheus, Kubernetes, Docker, AWS, Microsoft Azure, and Google Cloud.

IBM Watson IoT Platform is a cloud-based solution tailored for enterprises and developers who need to harness IoT data with AI capabilities. It offers data collection, analysis, and visualization tools to improve decision-making processes.

Why I picked IBM Watson IoT Platform (IBM Cloud): It excels in providing AI-driven insights, making it a top choice for advanced data analytics. The platform's AI capabilities help you identify patterns and trends that might otherwise go unnoticed. Its integration with Watson AI enables predictive maintenance and anomaly detection. The ability to process vast amounts of IoT data quickly is a key advantage for your team.

Standout features & integrations:

Features include real-time data processing that helps you react quickly to changes. The platform's analytics capabilities allow you to derive meaningful insights from complex datasets. Its user-friendly dashboards make data visualization straightforward and accessible.

Integrations include SAP, Salesforce, Microsoft Dynamics, Oracle, Cisco, Siemens, Honeywell, Intel, ARM, and Ericsson.

Particle is a platform that combines IoT hardware, connectivity, and cloud tools in one system. It’s built for teams that need to develop, deploy, and manage connected products with direct control over hardware and software.

Why I picked Particle: It gives your team a single platform for both device management and firmware development. You can connect cellular, Wi-Fi, or mesh devices using Particle’s pre-certified hardware. It comes with over-the-air updates and remote diagnostics built in, which makes managing fleets easier. The cloud dashboard helps you keep tabs on device status, events, and performance. If you’re working with custom hardware, it’s useful to have cloud and connectivity features built to fit with it from day one.

Standout features & integrations:

Features include built-in SIM management for cellular devices, automatic firmware updates across device fleets, and real-time device diagnostics. These tools help your team maintain uptime and cut down on support time. You also get a web-based console to view events, logs, and device health in one place.

Integrations include Google Cloud, Microsoft Azure, Amazon Web Services, Zapier, IFTTT, Slack, Webhooks, Microsoft Teams, Google Sheets, and MongoDB.

ThingsBoard is an open-source IoT platform aimed at developers and businesses seeking customizable IoT solutions. It enables you to collect, process, and visualize data from connected devices.

Why I picked ThingsBoard Open-source IoT Platform: Its open-source nature offers unparalleled flexibility for customization. You can tailor the platform to fit specific project needs, making it ideal for developers. The rule engine allows you to define complex data processing workflows with ease. With its ability to handle multiple devices, it suits teams looking for scalable solutions.

Standout features & integrations:

Features include data visualization tools that let you create custom dashboards. The telemetry data storage feature ensures your team can keep detailed records of device data. Built-in device management tools allow you to efficiently oversee all connected devices.

Integrations include MQTT, HTTP, CoAP, OPC-UA, Sigfox, LoRaWAN, AWS IoT, Azure IoT Hub, IBM Watson IoT, and Google Cloud IoT.