AWS IoT Analytics is a fully-managed service that makes it easy to run sophisticated analytics on massive volumes of IoT data without having to worry about all the cost and complexity typically required to build your own IoT analytics platform. It is the easiest way to run analytics on IoT data and get insights to make better and more accurate decisions for IoT applications and machine learning use cases.
IoT data is highly unstructured which makes it difficult to analyze with traditional analytics and business intelligence tools that are designed to process structured data. IoT data comes from devices that often record fairly noisy processes (such as temperature, motion, or sound), and as a result the data from these devices can frequently have significant gaps, corrupted messages, and false readings that must be cleaned up before analysis can occur. Also, IoT data is often only meaningful in the context of other data from external sources. For example, to determine when to water their crops, vineyard irrigation systems often enrich humidity sensor data with data on rainfall at the vineyard, allowing them to be more efficient with water usage while maximizing their harvest yield.
AWS IoT Analytics automates each of the difficult steps that are required to analyze data from IoT devices. IoT Analytics filters, transforms, and enriches IoT data before storing it in a time-series data store for analysis. You can setup the service to collect only the data you need from your devices, apply mathematical transforms to process the data, and enrich the data with device-specific metadata such as device type and location before storing the processed data. Then, you can analyze your data by running ad hoc or scheduled queries using the built-in SQL query engine, or perform more complex analytics and machine learning inference. IoT Analytics makes it easy to get started with machine learning by including pre-built models for common IoT use cases so you can quickly answer questions like which devices are about to fail or which customers are at risk of abandoning their wearable devices.
AWS IoT Analytics is fully managed and scales automatically to support up to petabytes of IoT data. With IoT Analytics, you can analyze data from millions of devices and build fast, responsive IoT applications without managing hardware or infrastructure.
For more information, visit the AWS IoT Analytics documentation page.
AWS IoT Analytics Benefits
Easily Run Queries on IoT Data
Run Time-Series Analytics
Data Storage Optimized for IoT
Prepares Your IoT Data for Analysis
Tools for Machine Learning
Automated Scaling with Pay-As-You Go Pricing
How it works
Proactive Replenishing of Supplies
Process Efficiency Scoring
Mini User Guides
AWS IoT Analytics Mini User Guide: Channels
AWS IoT Analytics Mini User Guide: Pipelines
AWS IoT Analytics Mini User Guide: Data stores & Datasets
AWS IoT Analytics Mini User Guide: Analytics & Visualization