Skip to content
Home » IoT data analytics platforms

IoT data analytics platforms

You’re looking for IoT data analytics platforms that can process and analyze IoT data, particularly from satellite-connected devices. These platforms help users make sense of the data, offering dashboards, AI-driven insights, and actionable outcomes. There are countless numbers of data platforms on the market each with it’s own capabilities and character from those targeted at specific sensor technologies, those targeting business verticals and big cross vertical platforms. Below are just a few of the top IoT data analytics platforms that can handle satellite IoT data and deliver value through analysis:

Key Considerations for Choosing a Satellite IoT Data Analytics Platform:

  • Real-Time Data Processing: Ensure the platform can process real-time satellite IoT data streams.
  • Integration Capabilities: Look for platforms that can seamlessly integrate with satellite networks and other IoT ecosystems.
  • Customizable Dashboards: A good analytics platform should offer customizable visualizations and dashboards to meet specific business needs.
  • Predictive Analytics: AI and machine learning capabilities are critical for predicting trends and optimizing operations based on satellite IoT data.
  • Scalability: The platform should be able to scale as your satellite IoT deployments grow.
  • Edge Computing: For real-time insights and reduced latency, platforms that offer edge analytics might be beneficial, especially in remote areas.

1. Rayven

  • Overview: Rayven is an end-to-end IoT and AI platform designed to provide predictive analytics, real-time monitoring, and data-driven decision-making.
  • Features:
    • Pre-built and customizable dashboards.
    • Predictive analytics powered by AI and machine learning.
    • Seamless integration with satellite IoT data sources.
    • Real-time monitoring of industrial equipment and assets.
    • No-code/low-code interface for rapid deployment and customization.
  • Industries: Smart cities, manufacturing, agriculture, energy, and utilities.

2. Bayer’s Climate FieldView

  • Overview: Climate FieldView is Bayer’s digital agriculture platform that leverages satellite data, IoT sensors, and predictive analytics for agricultural productivity.
  • Features:
    • Combines satellite imagery with real-time IoT data for insights into crop health.
    • Predictive analytics to forecast crop yields, detect diseases, and optimize planting.
    • Data visualizations through interactive maps and graphs.
    • Integration with various farm equipment and IoT sensors.
    • Tools for field data monitoring, planting optimization, and harvesting analytics.
  • Industries: Agriculture, farming, agritech.

3. ThingsBoard

  • Overview: ThingsBoard is an open-source IoT platform that integrates and visualizes IoT data from various sources, including satellite IoT networks.
  • Features:
    • Real-time IoT data collection and visualization via customizable dashboards.
    • Rule engine for real-time data processing, alerting, and automation.
    • Scalability for handling large IoT data sets.
    • Multi-protocol support for satellite and terrestrial IoT connectivity.
    • Device management and analytics for tracking performance, failures, and optimization.
  • Industries: Smart cities, logistics, industrial IoT, agriculture.

4. C3 AI IoT

  • Overview: C3 AI IoT is a comprehensive platform designed for large-scale IoT data processing, offering AI-driven analytics and data insights.
  • Features:
    • AI and machine learning models for predictive maintenance, anomaly detection, and optimization.
    • Scalable to handle vast amounts of IoT data from satellite networks.
    • Pre-built and customizable dashboards for real-time data insights.
    • Data integration across multiple sources, including satellite IoT devices.
    • Advanced analytics for asset tracking, logistics optimization, and remote monitoring.
  • Industries: Energy, oil & gas, aerospace, logistics, defense.

5. Kaa IoT Platform

  • Overview: Kaa is an enterprise-grade IoT platform that provides cloud-based IoT data management, device monitoring, and analytics.
  • Features:
    • Real-time and batch data processing from satellite IoT devices.
    • Customizable analytics dashboards for monitoring KPIs, trends, and asset performance.
    • Integration with multiple data sources, including satellite networks.
    • Rule-based automation for real-time event processing and decision-making.
    • Predictive analytics powered by AI/ML algorithms.
  • Industries: Agriculture, manufacturing, energy, smart homes, healthcare.

6. Ubidots

  • Overview: Ubidots is a cloud-based IoT platform offering data analytics, visualization, and device management for businesses.
  • Features:
    • Real-time dashboards with customizable widgets for visualizing IoT data.
    • API integration with satellite IoT data streams.
    • Advanced analytics for predictive maintenance, environmental monitoring, and more.
    • Trigger-based alerts and automations for immediate responses to IoT data.
    • Scalable architecture suitable for large IoT deployments.
  • Industries: Agriculture, healthcare, energy, environmental monitoring.

7. Azure IoT Central

  • Overview: Microsoft’s Azure IoT Central is a managed IoT platform that provides IoT data ingestion, visualization, and analytics using AI-driven insights.
  • Features:
    • Integration with satellite IoT networks for real-time data collection and monitoring.
    • Pre-configured dashboards and advanced data analytics tools.
    • Machine learning models for anomaly detection and predictive analytics.
    • Customizable rule engines for triggering actions based on data insights.
    • Seamless integration with Azure’s data services like Machine Learning and Time Series Insights.
  • Industries: Manufacturing, logistics, energy, smart buildings, transportation.

8. Losant

  • Overview: Losant provides an enterprise IoT platform with tools for IoT data collection, processing, and visualization, supporting various IoT devices including satellite-connected ones.
  • Features:
    • Real-time data collection and processing from IoT devices, including those connected via satellite.
    • Drag-and-drop workflow engine for data analysis and automation.
    • Data visualization through customizable dashboards.
    • Device management and integration with cloud services.
    • In-built support for predictive maintenance and anomaly detection.
  • Industries: Smart cities, industrial IoT, logistics, healthcare.

9. ClearBlade

  • Overview: ClearBlade is an IoT edge computing platform that integrates data from various sources, including satellite IoT, for real-time processing and analysis.
  • Features:
    • Real-time data analysis and edge computing capabilities.
    • Visualizations and dashboards for monitoring satellite IoT device data.
    • Secure, scalable platform for managing large IoT networks.
    • AI-driven insights for predictive maintenance and operational efficiency.
    • Integration with third-party services and custom APIs.
  • Industries: Railways, oil & gas, energy, smart cities.

10. Hologram

  • Overview: Hologram offers a cellular connectivity platform for IoT devices that can integrate with satellite data sources, providing data analytics and visualizations.
  • Features:
    • Integration of cellular and satellite IoT data for comprehensive analytics.
    • Real-time monitoring, visualization, and alerting.
    • IoT device management with extensive diagnostics tools.
    • APIs for integrating satellite IoT data into external analytics systems.
    • Scalability for handling massive IoT deployments.
  • Industries: Transportation, logistics, agriculture, environmental monitoring.

These platforms enable users to not only manage their satellite IoT devices but also derive actionable insights from the data through advanced analytics and AI-powered tools.