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

Altair Streamlines Panopticon Visualisation Deployment with New Release

Subscribe to our newsletter

Altair has simplified the deployment and expansion for users of its Panopticon visualisation tool with a major new version release. Panopticon 2020 for the first time offers users a singular view into the full application lifecycle, allowing them more easily to create user-generated content, dashboards and analytical applications.

The Panopticon platform is used by financial institutions to track and analyze real-time market data and trading information, giving them sophisticated streaming analytics accessed via a visualization environment. Regarded as a pioneer in financial data visualization, the original developer Panopticon Software was acquired in a $31 million stock deal by Datawatch in 2013. Datawatch was subsequently acquired by Altair in 2018 in a cash deal valued at $176 million.

Panopticon users are able to build and use streaming analytics and data visualization applications using a drag-and-drop interface to connect to a broad range of data sources, including real-time streaming feeds and time-series databases. The new release supports cloud deployment that allows users to manage and permission content, prepare data sources and create interactive dashboards via a modern user interface delivered through standard web browsers. All content can be seamlessly distributed across server clusters.

According to Sam Mahalingam, Altair CTO, the company has been working very closely with customers to define the platform’s new architecture and capabilities. “Our clients can examine their time series data down to the millisecond – or below – as well as monitor any number of real-time streaming feeds in actionable ways.”

The new version offers greater control of dashboards and workbooks, as well as a 100-fold increase in the speed of integration of Python libraries, using Apache Arrow (a cross-language development platform for in-memory data). As a result, the company says, clients benefit from faster performance with the time series and tick databases commonly used within capital markets firms, including First Derivatives’ Kx kdb+ and OneMarketData’s OneTick.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: From Data to Alpha: AI Strategies for Taming Unstructured Data

Date: 16 April 2026 Time: 9:00am ET / 2:00pm London / 3:00pm CET Duration: 50 minutes Unstructured data and text now accounts for the majority of information flowing through financial markets organisations, spanning research content, corporate disclosures, communications, alternative data, and internal documents. While AI has created new opportunities to extract signals, many firms are...

BLOG

TXSE Selects Exegy FPGA Technology for Market Data Infrastructure

The Texas Stock Exchange (TXSE) has selected Exegy to provide FPGA-based market data feed handlers as part of its launch infrastructure. TXSE is positioning itself as the first fully integrated U.S. equities exchange built from scratch in more than 25 years. As part of that ground-up approach, the venue has opted to deploy FPGA technology...

EVENT

TEST Event page 1

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

Corporate Actions

Corporate actions has been a popular topic of discussion over the last few months, with the DTCC’s plans for XBRL and ISO interoperability, as well as the launch of Swift’s new self-testing service for corporate actions messaging, STaQS, among others. However, it has not been a good start to the year for many of the...