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: Leveraging cloud as part of your colocation or proximity hosting strategy

As firms assess which elements of the trading workflow can be profitably migrated to cloud environments, ensuring compatibility with colocation and proximity hosting facilities becomes paramount. Practitioners need to take into account data access and security, messaging latency and regulatory considerations around operational resilience and physical location of client data. This webinar will discuss best...

BLOG

TRG Screen Launches Optimize Insights to Deliver Actionable Insights on Market Data Management

TRG Screen, the enterprise subscription management solutions vendor, has launched Optimize Insights, a suite of customisable dashboards and visualisations, designed to unlock data-driven intelligence and actionable insights into market data spend and usage. The new offering, which sits at the heart of TRG Screen’s Optimize platform for market data subscription management, launched in 2020, offers...

EVENT

TradingTech Insight Briefing New York

TradingTech Insight Briefing New York will explore how trading firms are innovating and leveraging technology as a differentiator in today’s cloud and digital based environment.

GUIDE

ESG Data Handbook 2022

The ESG landscape is changing faster than anyone could have imagined even five years ago. With tens of trillions of dollars expected to have been committed to sustainable assets by the end of the decade, it’s never been more important for financial institutions of all sizes to stay abreast of changes in the ESG data...