Altair Panopticon

Stream processing and visualization for real-time and time series data

Panopticon Streams

Panopticon Streams is the stream processing engine that enables users to program sophisticated business logic and data functions using a fully visual interface in Panopticon Visual Analytics.

 


Built on Apache Kafka

Panopticon Streams is built on Apache Kafka and Kafka Streams, but it requires no coding — not even in KSQL — to build sophisticated stream processing applications.

With Panopticon Streams, business users who understand business problems create data flows. They see a visual representation of their logic on the screen. Within minutes of receiving the software, they can be up and running – designing and deploying their own real-time processes.

The underlying platform for Panopticon Streams is Kafka, and it supports all the benefits of Kafka, but without its complexity.

Similarly, firms don’t need to deploy a proprietary, legacy event processing platform. They can leverage their existing investment in Kafka and get started immediately.

Build complex data flows in a web browser

Panopticon Streams allows users to build stream processing applications that:

  • Subscribe to streaming data inputs, including Kafka streams and others
  • Retrieve from historic and reference data sources
  • Join data streams and tables
  • Aggregate streams within defined time windows
  • Conflate streams
  • Create calculated performance metrics
  • Filter streams
  • Branch streams
  • Union and merge streams
  • Pulse output
  • Create alerts based on performance metrics against defined thresholds
  • Output to Kafka or to email, or write to databases such as kdb+, InfluxDb, or any SQL database

Build event processing applications in minutes using only a web browser – and without writing a line of code. With Panopticon Streams, business users who understand business problems create data flows. They see a visual representation of their logic on the screen.

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