Altair® Panopticon™

Stream Processing and Visualization for Real-Time and Time Series Data

Delays in decision-making are costly in time-critical businesses like electronic securities trading, process manufacturing, telecommunications, and energy.

Waiting for end-of-day reports means you’re likely to miss profitable opportunities or fail to respond to threats to smooth operations, regulatory compliance, or profitability until it’s much too late.

Panopticon lets business users and engineers — the people closest to the action — build, modify, and deploy sophisticated streaming analytics and data visualization applications using a fully drag-and-drop interface. They can connect to virtually any data source, including real-time streaming feeds and time series databases, develop complex stream processing programs, and design visual user interfaces that give them the perspectives they need to make insightful, fully-informed decisions based on massive amounts of fast-changing data.

Panopticon Overview Video

Why Panopticon?

Visualize Time-critical Data

Panopticon provides more than 50 high-density information visualizations designed to foster intuitive comprehension of complex, fast-changing data. Identify correlations, clusters, trends, exceptions, and anomalies in seconds.

Streaming Analytics in the Cloud

Deploy Panopticon on AWS, Azure, Google Cloud, and Oracle Cloud. It is also fully compatible with containerized cloud implementations using Docker.

Connect to Any Data Source

Panopticon lets business users connect to real-time message queues, time series databases, CEP engines, NoSQL sources, and any SQL database — with no coding or middleware needed.

Key Features

Built for Real-time Data

Panopticon is built from the ground up to handle high velocity and high volume data sources. Zoom in on the timeline down to the nanosecond timestamp if needed. Rewind and play back data streams at any speed.

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Code-free Development

Build stream processing applications and analytical dashboards using a point and click user interface. Respond quickly to changing business requirements, reduce risk and cost, and deploy new applications and dashboards in minutes.

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Build Kafka-enabled Stream Processing Applications

Panopticon’s stream processing engine is built on Apache Kafka and Kafka Streams and supports real-time data prep, aggregation, calculations, and alerting. Users can unlock Kafka’s enormous range of capabilities without writing any Java, Scala, or KSQL code.

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See Panopticon in Action

  1. Introduction to Panopticon 2020
  2. Monitor Performance of a Trucking Fleet in Real Time
  3. Visualize Real-time Telemetry Data from Formula 1 Cars
  4. Analyze Aggregated Client FX Flow
  5. Fast Analytics for Capital Markets

Example Use Cases


Real-time Risk Monitoring


Monitor IoT Sensors


Achieve Best Execution


Monitor Smart Meters


Analyze Futures Trading Profit and Loss


Monitor ATM Performance