Datawatch Panopticon Empowers Business Users with New Stream Processing Engine

Datawatch (NASDAQCM:DWCH) announced the general availability of Panopticon Streams that is built on the Apache Kafka platform.

The company said that users can create sophisticated Kafka data flows quickly and easily with no coding through its solution.

As quoted in the press release:
Whether used as a stand-alone solution or in conjunction with Panopticon’s Visual Analytics platform, enterprises benefit from comprehensive monitoring and analysis of real-time streaming and time series data. Panopticon’s unique solutions enable business users who deployed web-based solution to build sophisticated Kafka data flows with no coding.

With Panopticon Streams, users connect directly to a wide range of streaming and historic information sources, including Kafka, Kx kdb+, Solace, Hadoop and NoSQL sources. The platform 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 introduction of Panopticon Streams gives our customers a true streaming analytics platform optimized for businesses working with continuously changing operational data,” said Peter Simpson, vice president of visualization strategy at Datawatch Panopticon. “In particular, our Capital Markets customers will benefit from its support of several key use cases, including best execution, real-time P&L, transaction cost analysis and trader and trading surveillance.”

Forrester analyst Mike Gualtieri noted in his The Forrester Wave™: Streaming Analytics report that, “Streaming Analytics is essential technology to orchestrate interactions between a complex portfolio of applications and the data sources.”1 He also noted in his Prescriptive Analytics: The Black Belt Of Digital Decisions report that, “Streaming Analytics can provide real-time insights for decision logic or it can detect patterns in data that indicate that a decision must be made.”2

As with Panopticon Visual Analytics, Panopticon Streams requires no coding expertise. Users who understand the business problems can create their own data flows, which can utilize information from any number of sources and incorporate joins, aggregations, conflations, calculations, unions and merges and alerts. Analysts can then visualize processed data using Panopticon Visual Analytics and deliver it to Kafka, Kx kdb+, InfluxDb, or any SQL database.

Simpson continued: “The addition of Panopticon Streams’ capabilities means we now offer a general purpose streaming analytics platform. It has applications anywhere organizations need to identify anomalies and outliers, investigate their causes, back test potential solutions, and then alter their business processes to address the issue. Given the software’s ability to handle real-time and time series data, we believe it will be most useful in telecommunications, energy, and IoT applications, in addition to electronic trading for capital markets firms.”

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