Edge Filtering and Analytics for IoT

Devices generate more data in a day than people do in a year. Find the wheat and throw away the chaff to focus real-time edge analytics on key data.

Overview

Real-time edge analytics

Use standing queries to detect patterns as they occur and take action
Filter huge data sets down to key information automatically
Join data from multiple sources at scale
Resolve entities across sources
Mitigate out-of-order data arrival
De-duplicate data
Generate new events from data as it streams, in real-time
Integrates with existing Apache Kafka, AWS Kinesis, data lake, and API event sources.

Learn more about Log Analysis and Stateful Digital Twin.

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