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AWS IoT Analytics VS AWS IoT Device Management

Compare AWS IoT Analytics VS AWS IoT Device Management and see what are their differences

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AWS IoT Analytics logo AWS IoT Analytics

IoT Management

AWS IoT Device Management logo AWS IoT Device Management

Onboard, organize, monitor, and remotely manage connected devices at scale
  • AWS IoT Analytics Landing page
    Landing page //
    2022-02-05
  • AWS IoT Device Management Landing page
    Landing page //
    2023-05-02

AWS IoT Analytics features and specs

  • Scalable
    AWS IoT Analytics automatically scales to support large volumes of IoT data, accommodating billions of messages from millions of devices without the need for extensive infrastructure management.
  • Integration
    Seamlessly integrates with other AWS services like AWS Lambda, Amazon S3, and Amazon QuickSight for extended functionality and complete data processing and visualization workflows.
  • Time-series analysis
    Designed specifically to handle time-series data, providing tools and pre-built functions to analyze and visualize trends over time, which is crucial for monitoring IoT devices.
  • Data Enrichment
    Enables the enrichment of IoT data by integrating external data sources and using metadata, allowing for more contextual and meaningful data insights.
  • Machine Learning Support
    Supports integration with AWS's machine learning services, allowing users to build, train, and deploy models for predictive analysis directly on their IoT data.

Possible disadvantages of AWS IoT Analytics

  • Complexity
    The broad feature set and integration options can lead to a steep learning curve for users unfamiliar with AWS services and IoT analytics workflows.
  • Cost
    While offering extensive capabilities, the cost of using AWS IoT Analytics can become significant, especially as data volumes and processing needs increase.
  • Dependency on AWS Ecosystem
    Requires reliance on the AWS ecosystem, which can be a limitation for organizations using multi-cloud strategies or those wanting to maintain vendor neutrality.
  • Latency
    Although designed for handling IoT data, there can be latency issues in data processing and analysis, especially with high-frequency data ingestion.
  • Security Complexity
    Managing security and ensuring compliance can be complex due to the sensitive nature of IoT data and the need to configure various AWS security settings properly.

AWS IoT Device Management features and specs

No features have been listed yet.

AWS IoT Analytics videos

+ Add

AWS IoT Analytics - How It Works

More videos:

  • Review - Learn Step by Step How iDevices Uses AWS IoT Analytics - AWS Online Tech Talks

AWS IoT Device Management videos

+ Add

AWS Tutorials - Using Jobs in AWS IoT Device Management

Category Popularity

0-100% (relative to AWS IoT Analytics and AWS IoT Device Management)

AWS IoT Analytics

AWS IoT Device Management

Analytics
100 100%
Analytics
0% 0
IoT Platform
77 77%
IoT Platform
23% 23
Data Dashboard
100 100%
Data Dashboard
0% 0
Testing
0 0%
Testing
100% 100

User comments

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What are some alternatives?

When comparing AWS IoT Analytics and AWS IoT Device Management, you can also consider the following products

ThingSpeak - Open source data platform for the Internet of Things. ThingSpeak Features

SocketXP - Raspberry Pi and IoT device remote access, monitoring, control and management at scale.

AWS IoT - Easily and securely connect devices to the cloud.

Azure IoT Hub - Manage billions of IoT devices with Azure IoT Hub, a cloud platform that lets you easily connect, monitor, provision, and configure IoT devices.

Countly - Product Analytics and Innovation. Build better customer journeys.

ngrok - ngrok enables secure introspectable tunnels to localhost webhook development tool and debugging tool.

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