Altair Panopticon 2020.0: An Introduction

Panopticon Real Time and Panopticon Streams 2022.0 include usability and performance improvements as well as coding enhancements. Click here to learn more about Altair Panopticon.

The Panopticon 2021.2 release incorporates several important new analytics capabilities, including the ability to exclude individual points in time and define multiple non-business hour timespans when analyzing time series data. We have improved several key data visualizations and reporting functions, including easy upload of custom fonts to the server for use in dashboards and PDF reports. Changes to our Streams event processing engine include a new expression builder that makes writing complex expressions for stream processing easier and faster and pluggable Java® transforms that enable use of custom Java code in Streams data pipelines. We have also provided new options to support enterprise deployments, including user session token synchronization across server clusters and the ability to deploy Panopticon in containers on Kubernetes.

Explore how Altair enables enterprises to leverage operational data throughout the complete data lifecycle - from shop floor to top floor - with self-service data analytics and machine learning solutions.

Panopticon Streams, a stream processing engine built on the popular Apache Kafka platform, enables business users to build sophisticated Kafka data flows with no coding. Streams connects directly to a wide range of streaming and historic information sources, including Kafka, Kx kdb+, Solace, Hadoop and NoSQL sources. Streams supports critical data functions including: - Streaming Data Prep: Combines multiple real-time streams with historic data sources - Calculation Engine: Calculates performance metrics based on business needs - Aggregation Driver: Combines data as needed - Alerting Engine: Highlights anomalies against user-defined thresholds - Integration with the Confluent Enterprise Control Center - Expanded support for IoT environments, including manufacturing, energy/utilities, and transportation/logistics The engine is designed to be used by people who understand their business problems. They can create their own data flows utilizing data from any number of sources and incorporate joins, aggregations, conflations, calculations, unions, merges, and alerts into their stream processing applications. They can then visualize processed data using Panopticon Visual Analytics and/or output it to Kafka, Kx kdb+, InfluxDb, or any SQL database.

Managing critical IoT, telecommunications, and energy infrastructures requires real-time insight into massive amounts of information. Business analysts and engineers can’t wait for end-of-day reports to make decisions that directly affect their operations. They must be able to see and understand what is happening in real time – as it happens. They must also be able to examine all the events leading up a problem in fantastic detail. Altair Panopticon provides people working for the world’s largest corporations with the tools they need to build and deploy their own real-time analytics applications. With Panopticon, engineers and analysts can spot emerging trends, clusters, and outliers in seconds. They can also rewind and look at every single step in a series of events with nanosecond accuracy. Panopticon handles data directly from any data source you’re likely to use, including real-time message buses, time series database, CEP engines, SQL databases, and Big Data repositories.

Altair Panopticon Streams is a sophisticated stream processing engine that leverages the agility, speed, and power of the Kafka Streams framework and Apache Kafka. Streams enables business users to design and deploy new data flows using a standard web browser. Simply point and click to draw the data flow. Subscribe to streaming data inputs, including Kafka topics, plus non-Kafka streaming sources like message buses, web sockets, CEP engines, ticker plants, and market data feeds. Retrieve historical data from tick databases, time series databases, SQL row stores, column stores, NoSQL, New SQL, and restful web services. Create alerts based on performance metrics against defined thresholds and output processed data to Kafka topics, to email, or write to databases like kdb+, InfluxDb, or any SQL database. Streams supports key data operations, including: - Join and Union data streams and tables - Aggregate and conflate streams of data - Perform calculations - Filter and Branch streams Panopticon Streams works beautifully with Panopticon Visual Analytics to create a flexible and highly capable streaming analytics platform.