AWS IoT Greengrass

AWS IoT Greengrass

Amazon Web Services (AWS) From United States

AWS IoT Greengrass empowers developers to build and manage software for edge devices, enabling intelligent local data processing and machine learning applications. It supports diverse programming languages and packaging technologies, allowing seamless deployment across device fleets. Greengrass facilitates secure communication, data filtering, and optimized cloud integration, enhancing operational efficiency.

Top AWS IoT Greengrass Alternatives

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1 Balena

Balena

Balena empowers users to effortlessly manage and scale fleets of devices with robust remote capabilities. With support for over 80 device types and a Custom Device Support program, users benefit from reliable updates, powerful APIs, and dedicated technical assistance, ensuring smooth operations and rapid deployment across global installations.

balena From United States
1 vote
2 Intel oneAPI Base & IoT Toolkit

Intel oneAPI Base & IoT Toolkit

The Intelยฎ oneAPI Base & IoT Toolkit provides enhanced build and analysis tools tailored for IoT system design and development. It supports multiple architectures, including CPU, GPU, and FPGA, facilitating rapid integration and optimizing performance and power efficiency, ultimately accelerating time to market for innovative IoT solutions.

Intel Corporation From United States
3 SAS Analytics for IoT

SAS Analytics for IoT

SAS Analytics for IoT delivers a robust solution for managing and analyzing Internet of Things data. It features an AI-embedded framework that efficiently organizes, transforms, and analyzes high-velocity data streams. Built on the SASยฎ Viyaยฎ platform, it employs a sensor-centric data model and advanced analytics to drive real-time insights across industries.

SAS Institute From United States
1 vote
4 AT&T IoT

AT&T IoT

AT&T IoT provides organizations with secure, reliable connectivity and tailored IoT solutions designed to accelerate deployment across the globe. Leveraging advanced technologies, it ensures seamless integration with cloud and edge computing, while robust AI-driven security safeguards data. Professional services, consulting, and device certification further enhance organizational success in the IoT landscape.

AT&T Business From United States
5 KMC Commander

KMC Commander

KMC Commander revolutionizes building management by seamlessly integrating with existing systems to collect and analyze data in real-time. This IoT platform enables users to monitor energy consumption, track CO2 emissions, and manage schedules from any device. Enhanced with custom dashboards and secure cloud access, it empowers efficient operations and tenant comfort across multiple locations.

KMC Controls From United States
1 vote
6 ThingSpace IoT Platform

ThingSpace IoT Platform

The ThingSpace IoT Platform streamlines the entire IoT lifecycle, from prototype to enterprise. It offers a self-service portal for effortless device management, robust tools for connectivity and analytics, and an IoT Marketplace for easy procurement. With advanced security features and white-glove support, it simplifies complex implementations, ensuring scalable and efficient IoT solutions.

Verizon From United States
7 Ayla IoT Platform

Ayla IoT Platform

The Ayla IoT Platform empowers ISPs to seamlessly integrate and manage smart home services. By supporting diverse connectivity protocols and devices, it enhances customer relationships and drives recurring revenue. With features like the Virtualization Engine, rules engine, and application enablement tools, it simplifies device management and accelerates application development.

Ayla Networks From United States
1 vote
8 HPE Edgeline

HPE Edgeline

HPE Edgeline integrates operational technology with enterprise-grade IT in a robust system designed for diverse environments like factories, oil rigs, and cafes. It enables real-time, localized decision-making, ensuring swift actions amid unreliable connectivity. With high security and compliance, it seamlessly connects OT data acquisition to IT analytics for efficient operations.

Hewlett Packard Enterprise From United States
9 Particle Mesh IoT Network

Particle Mesh IoT Network

The Particle Mesh IoT Network offers a robust platform for seamless device management and intelligent application deployment. With embedded intelligence, it transforms data into actionable insights while maintaining secure, reliable connectivity across various environments. Developers can easily write, compile, and flash code over-the-air, facilitating rapid prototyping and scalable edge solutions for diverse applications.

Particle From United States
1 vote
10 Eclipse Kura

Eclipse Kura

Eclipse Kura is an open-source IoT edge framework that streamlines the development and management of IoT applications. Built on the OSGi framework, it allows for modular enhancements and local data processing, reducing latency and bandwidth use. With support for various industrial protocols and cloud services, it facilitates seamless integration across diverse devices. The platformโ€™s robust device management tools, including monitoring and firmware updates, are accessible via a user-friendly web interface. Eclipse Kura is versatile, running on various hardware platforms like Raspberry Pi and Intel gateways, making it an ideal solution for both smart home and industrial IoT projects.

Eclipse Foundation From United States
11 AWS IoT Events

AWS IoT Events

AWS IoT Events enables users to ingest data from diverse sources, allowing for the detection of process or device states while facilitating proactive maintenance management. It empowers the creation of custom rules with straightforward "if-then-else" logic to pinpoint critical events and attributes, integrating sensor and application data for enhanced operational insights and automated actions. Additionally, it supports defining specific detectors for various device types, ensuring scalability and efficient management across entire fleets.

AWS From United States
1 vote
12 ThingSpeak

ThingSpeak

ThingSpeak facilitates efficient cloud-based data collection and advanced analysis through MATLAB, empowering rapid IoT project implementation. Users can monitor air quality, energy consumption, and agricultural metrics in real-time, leveraging MATLAB's modeling capabilities to enhance predictions and optimize resource use, all without the need for custom web software development.

MathWorks From United States
13 SkySpark

SkySpark

SkySpark is an advanced software platform designed to connect, store, analyze, and visualize data from smart devices and equipment systems. Its automated analytics and specialized applications for energy and greenhouse gas metrics transform raw data into actionable insights, enhancing operational efficiency and reducing downtime while delivering significant cost savings.

SkyFoundry From United States
2 votes
14 Enterprise IoT Security

Enterprise IoT Security

Enterprise IoT Security offers a robust solution for safeguarding all connected smart devices through a zero trust framework. Leveraging patented machine learning models and unique App-ID technology, it identifies 90% of devices within 48 hours. With real-time risk assessments and rapid policy creation, organizations can effectively manage vulnerabilities and prevent threats across their networks.

Palo Alto Networks From United States
15 Windows 10 IoT Core Services

Windows 10 IoT Core Services

Windows 10 IoT Core Services offers long-term support with a decade of security and reliability updates, ensuring device stability. It features cloud-based Device Health Attestation for network safety, customizable update management through the Device Update Center, and the ability to assess device trustworthiness, enabling efficient oversight and control for manufacturers.

Microsoft From United States
2 votes

Company Information

  • Company: Amazon Web Services (AWS)
  • Country: United States

Top AWS IoT Greengrass Features

  • Edge device intelligence
  • Anomaly detection capabilities
  • Support for legacy applications
  • Flexible programming languages
  • Local data processing
  • MQTT messaging support
  • Device fleet management
  • AWS Lambda integration
  • Docker container support
  • Machine learning predictions
  • Real-time data aggregation
  • Data lifecycle management
  • Optimized cloud data transmission
  • Secure device communication
  • Offline functionality
  • Third-party application connectivity
  • Management analytics in cloud
  • Customizable data filtering
  • Remote operation capabilities
  • Open-source edge runtime