Kafka in the Cloud: Why it’s 10x better with Confluent | Find out more

Altair Panopticon™ and Confluent Platform

Comprehensive Streaming Analytics Platform for Visualizing Real-time Data

Customers today are dealing with huge amounts of fast changing data requiring immediate, real-time decisions, particularly in financial markets and Internet of Things (IoT) applications. With Panopticon and Confluent Platform, business users are enabled to build sophisticated stream processing data flows using a standard web browser, start their analytical models, and begin visualizing output in minutes. With Panopticon, users don’t need to know how to write any Java or Scala scripts to make full use of Confluent Platform’s wide range of event streaming capabilities. Panopticon supports a comprehensive set of real-time and time series data visualization and data handling capabilities and works directly with Kafka and Confluent Platform for a complete solution.

Hero image

Why Altair Panopticon and Confluent Platform?

Real-time Views

Fast insight to improve performance

Detect Anomalies

Program alerts to help identify fraud

React Immediately

Turn raw events to actions – optimize performance or change behaviors

No Coding

Reduce development time for new analytics dashboards to minutes

Panopticon Integration with Confluent Platform

Confluent provides a robust and performant platform for Panopticon’s analytics processing, required by markets such as financial and IoT. Kafka Streams enables partitioning, load-balancing, fail-over and security while schema registry and Avro form the foundation for data manipulation that is essential for modeling. Together, customers enjoy a faster time-to-market and easier user adoption.

Resources

Using Kafka Streams to Analyze Live Trading Activity for Crypto Exchanges

Financial Market - Electronic Trading use case

Using Kafka to Optimize Real-time Analytics in Financial Services and IoT Applications, a Technical Deep Dive

Visualization of Real Time Analytics to Improve Trading Performance