Best IoT Analytics Platforms - Page 2

Bijou Barry
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Researched and written by Bijou Barry

IoT analytics platforms allows businesses to analyze and visualize sensor data from internet-connected devices. IoT analytics platofrms are used to understand the continuous stream of structured, unstructured, and time series data produced by connected devices, so that businesses can understand historical data and predict future outcomes. Companies may utilize IoT analytics solutions to track the performance of machinery, provide predictive maintenance recommendations, and better understand unique data related to their devices such as temperature, motion, and sound. Data analysts can use IoT analytics platforms to prepare, filter, transform, and drill into sensor data, the same way they would analyze structured data with a business intelligence platform.

To qualify for inclusion in the IoT Analytics Platforms category, a product must:

Consume data directly from internet-connected devices, sensors, and time series databases
Support data modeling, blending, and discovery
Allow users to drill down into the data with interactive visualization
Create reports and visualizations based on the data
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Best IoT Analytics Platforms At A Glance

Highest Performer:
Easiest to Use:
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Easiest to Use:
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G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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137 Listings in IoT Analytics Platforms Available
(18)3.9 out of 5
8th Easiest To Use in IoT Analytics Platforms software
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