About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Datawatch Adds Panopticon Streams Real-Time Stream Processing Engine

Subscribe to our newsletter

Datawatch has increased the speed of real-time streaming and time series data analytics with stream processing engine Panopticon Streams. The engine can be used as a stand-alone solution or in conjunction with Panopticon’s Visual Analytics platform.

Peter Simpson, vice president of visualisation strategy at Datawatch Panopticon, says: “Capital markets customers will benefit from Panopticon Streams’ support of several key use cases, including best execution, real-time P&L, transaction cost analysis and trader and trading surveillance.

“The addition of the engine’s capabilities means we now offer a general purpose streaming analytics platform. It has applications anywhere organisations 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 electronic trading, telecommunications, energy, and IoT applications.”

The combination of stream processing, rapid data comprehension through visual analysis, faster investigation through time series analysis and playback down to the individual tick, is designed to help organisations make timely, more informed decisions that have immediate financial impact.

Built on the Apache Kafka platform, Panopticon’s solutions enable business users to build sophisticated Kafka data flows with no coding. Users who understand the business problems can create their own data flows, which can use information from a number of sources and incorporate joins, aggregations, conflations, calculations, unions and mergers, and alerts. Analysts can visualise processed data using Panopticon Visual Analytics and deliver it to Kafka, Kx kdb+, InfluxDb, or any SqL database.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unlocking value: Harnessing modern data platforms for data integration, advanced investment analytics, visualisation and reporting

Modern data platforms are bringing efficiencies, scalability and powerful new capabilities to institutions and their data pipelines. They are enabling the use of new automation and analytical technologies that are also helping firms to derive more value from their data and reduce costs. Use cases of specific importance to the finance sector, such as data...

BLOG

Citi and SDX Partner to Tokenise Pre-IPO Equities for Institutional Investors

Citi and SIX Digital Exchange (SDX) have announced a strategic collaboration to enhance access to private market assets through tokenisation, with a new solution expected to go live by Q3 2025. Unveiled at the Point Zero Forum in Switzerland, the initiative aims to address longstanding inefficiencies in traditional private markets for both issuers and investors....

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...