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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.
Smart filter representation

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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