Suppliers United States Amazon Web Services
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Amazon Web Services

Easily and Securely Connect Devices to the Cloud.
United States
2006
Public
NASDAQ: AMZN
> $10b
10,001 - 50,000
Open website

Amazon Web Services has developed the managed cloud platform AWS IoT to let connected devices easily and securely interact with cloud applications and other devices. AWS IoT can support billions of devices and trillions of messages, and can process and route those messages to AWS Endpoints and to other devices reliably and securely. With AWS IoT, your applications can keep track of and communicate with all your devices, all the time, even when they aren’t connected.

On top of this platform, AWS also offers a variety of analytics solutions by AWS or third-party suppliers that can help meet all kinds of needs related to data analysis.

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The AWS IoT Device Gateway enables devices to securely and efficiently communicate with AWS IoT. The Device Gateway can exchange messages using a publication/subscription model, which enables one-to-one and one-to-many communications. With this one-to-many communication pattern AWS IoT makes it possible for a connected device to broadcast data to multiple subscribers for a given topic. The Device Gateway supports MQTT and HTTP 1.1 protocols and you can easily implement support for proprietary or legacy protocols. The Device Gateway scales automatically to support over a billion devices without provisioning infrastructure.

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NASA JPL, Philips, Sonos

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Amazon Web Services is a provider of Industrial IoT infrastructure as a service (iaas), platform as a service (paas), application infrastructure and middleware, analytics and modeling, and cybersecurity and privacy technologies, and also active in the aerospace, education, electrical grids, electronics, food and beverage, pharmaceuticals, renewable energy, retail, telecommunications, transportation, and utilities industries.
Technologies
Analytics & Modeling
Big Data Analytics
Machine Learning
Computer Vision Software
Data-as-a-Service
Digital Twin / Simulation
Edge Analytics
Natural Language Processing (NLP)
Real Time Analytics
Robotic Process Automation (RPA)
Infrastructure as a Service (IaaS)
Cloud Computing
Cloud Databases
Cloud Middleware & Microservices
Cloud Storage Services
Hybrid Cloud
Public Cloud
Backup & Recovery
Private Cloud
Virtual Private Cloud
Platform as a Service (PaaS)
Application Development Platforms
Data Management Platforms
Edge Computing Platforms
Application Infrastructure & Middleware
Blockchain
Data Exchange & Integration
Database Management & Storage
Cybersecurity & Privacy
Cloud Security
Identity & Authentication Management
Use Cases
Cybersecurity
Remote Collaboration
Functions
Business Operation
Product Research & Development
Sales & Marketing
Industries
Aerospace
Education
Electrical Grids
Electronics
Food & Beverage
Pharmaceuticals
Renewable Energy
Retail
Telecommunications
Transportation
Utilities
Services
Cloud Planning, Design & Implementation Services
Cybersecurity Services
System Integration
Amazon Web Services’s Technology Stack maps Amazon Web Services’s participation in the infrastructure as a service (iaas), platform as a service (paas), application infrastructure and middleware, analytics and modeling, and cybersecurity and privacy IoT technology stack.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Supporting Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
None
Minor
Moderate
Strong
Number of Case Studies31
Case Study: Pfizer
Case Study: Pfizer
Pfizer’s high-performance computing software and systems for worldwide research and development support large-scale data analysis, research projects, clinical analytics, and modeling. Pfizer’s computing services are used across the spectrum of research and development efforts, from the deep biological understanding of disease to the design of safe, efficacious therapeutic agents.
The Kellogg Company
The Kellogg Company
Kellogg keeps a close eye on its trade spend, analyzing large volumes of data and running complex simulations to predict which promotional activities will be the most effective. Kellogg needed to decrease the trade spend but its traditional relational database on premises could not keep up with the pace of demand.
NASA/JPL's Mars Curiosity Mission
NASA/JPL's Mars Curiosity Mission
NASA's Jet Propulsion Laboratory wanted to share the launching of Curiosity with fans by providing up-to-the-minute details of the mission. Supporting hundreds of thousands of concurrent visitors to the website would have been very difficult since NASA did not have significant web and live video streaming infrastructure.
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