AWS IoT Analytics Reviews & Product Details

Amazon Web Services IoT
Washington, USA
$10BN to $50BN
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Amazon Web Services IoT USP

AWS IoT analytics solutions helps users to connect devices to cloud and each other through device gateways and AoT device SDK. AWS IoT Analytics enables the users to constantly ingest, filter, process, and route streaming data coming from connected devices. The solution enables the users to configure the data in usage with other devices using AWS Lambda, Amazon Kinesis, DynamoDB, Amazon Elasticsearch Service, and Amazon Machine Learning. Request Amazon Web Services IoT Pricing to get more information.


AWS IoT Analytics is a fully managed service that operationalizes analyses and scales automatically to support up to petabytes of IoT data. It can analyze data from millions of devices and build fast, responsive IoT applications without managing hardware or infrastructure.


  • Operationalize analytical workflows: AWS IoT Analytics mechanizes the execution of analysis. AWS IoT Analytics import custom authored code containers, built in external tools such as Matlab, Octave, etc, and execute them on schedule to generate operational insights.
  • Easily run queries on IoT data: AWS IoT Analytics can simply run ad hoc queries by using SQL query engine. It also provides a series of non-overlapping, contiguous time windows to perform analysis on new, incremental data.
  • Data storage optimized for IoT: AWS IoT Analytics stores the processed device data in a time-series data store that is optimized to deliver fast response times on IoT queries. The raw data is also automatically stored for later processing or reprocessing for another use case.
  • Prepares IoT data for analysis: It uses data preparation techniques that streamline the data for analysis. It also supports the time series analysis that helps in analysing performance of devices overtime and understand how and where they are being used. It continuously monitor device data to predict maintenance issues, and monitor sensors to predict and react to environmental conditions.
  • Tools for machine learning: AWS IoT Analytics makes it easy to apply machine learning to IoT data with hosted Jupyter notebooks. It can directly connect IoT data to the notebook and build, train, and execute models right from the AWS IoT Analytics console without having to manage any of the underlying infrastructure.
  • Automated scaling with pay as you go pricing: AWS IoT Analytics is a fully managed and pay-as-you go service that scales automatically to support up to petabytes of IoT data. It can analyze entire fleet of connected devices without managing hardware or infrastructure.

360 Quadrants

Strengths and Weaknesses
  • +12 Directly
  • +11 Real-time Streaming Data Processing (Data-in-Motion)
  • +7 Unstructured Data
  • +8 Hosted / On-Cloud
  • +12 Predictive Analytics
  • +7 Programming Language (such as R, Python, Java)
  • +12 Remote Support
  • +10 Servers (such as Hadoop, Apache)
  • +5 Marketing
  • +8 Operations/Production
  • +9 Product Development
  • +14 Sales
  • +10 Subscription / Licensing
  • +8 Charts and Graphs
  • +9 Data Profiling
  • +14 Data Visualization
  • +13 Image
  • +12 Protocols for Data Collection (such as LAN, DNP3, SCADA, etc.)
  • +5 Robust Reporting
  • +12 Text
  • -6 Slow processing
  • -5 Dashboard needs improvements
  • -10 Batch Data Processing
  • -13 Through Partners / Third-Party Vendors
  • -6 Semi-Structured Data
  • -5 Structured Data
  • -7 On-Premise
  • -10 Descriptive Analytics
  • -11 Diagnostics Analytics
  • -13 Prescriptive Analytics
  • -9 Databases
  • -8 Microsoft Corporation Office (including Spreadsheet)
  • -11 On-Site Support
  • -11 Any other Integration type
  • -11 Customer Service
  • -6 Finance
  • -9 Full Time Equivalent
  • -7 Human Resources (HR)
  • -11 Per User Basis
  • -10 Supply Chain
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Amazon Web Services IoT presence in IoT Analytics Software

AWS has expanded its presence to more than 190 countries with operations across 42 availability zones in major markets, such as North America, South America, Europe, and APAC. The company is expanding its presence in new markets through data centers. In addition, AWS serves its solutions through channel partners. AWS Partner Network (APN) includes APN consulting partners and APN technology partners. The consulting partners associated with APN include VARs, strategic consultants, system integrators, and Managed Service Providers (MSPs). AWS offers its cloud services to diverse set of customers including enterprises, startups or public-sector entities. In the recent past, the company has adopted major growth strategies, such as new product launches, expansions, and partnerships with other technology companies. This has helped AWS to expand its customer base in the IoT analytics marketplace. For instance, in December 2016, AWS partnered with to integrate’s platform with Amazon Redshift, Amazon AppStream 2.0, and AWS IoT Amazon Virtual Private Networks.

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