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AWS IoT Analytics VS Zatar

Compare AWS IoT Analytics VS Zatar and see what are their differences

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Turn SQL Data into Decisions. Build professional dashboards and data visualizations without technical expertise. Easily embed analytics anywhere, receive automated alerts, and discover AI-powered insights all through a straightforward interface. featured
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AWS IoT Analytics logo AWS IoT Analytics

IoT Management

Zatar logo Zatar

IoT Analytics
  • AWS IoT Analytics Landing page
    Landing page //
    2022-02-05
  • Zatar Landing page
    Landing page //
    2023-08-19

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.

Zatar features and specs

No features have been listed yet.

AWS IoT Analytics videos

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AWS IoT Analytics - How It Works

More videos:

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

Zatar videos

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Category Popularity

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

AWS IoT Analytics

Zatar

Analytics
67 67%
Analytics
33% 33
IoT Platform
65 65%
IoT Platform
35% 35
Data Dashboard
66 66%
Data Dashboard
34% 34
Product Analytics
100 100%
Product Analytics
0% 0

User comments

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What are some alternatives?

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

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

Apache iota - IoT Analytics

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.

Oracle Internet of Things Cloud - Securely connect, integrate, analyze, build, and deploy innovative IoT solutions to gain business process efficiencies and data-driven insights with Oracle Internet of Things (IoT) technology.

Axonize - Axonize IoT platform - the smarter way to truly realize your IoT potential and create smart, scalable IoT projects to increase profitability.

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