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: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

Date: 20 May 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining...

BLOG

LSEG Collaborates with AWS to Support Real-Time Data Infrastructure

London Stock Exchange Group has announced a collaboration with Amazon Web Services aimed at modernising the infrastructure underpinning its real-time market data services, as part of a broader cloud transformation strategy. Under the collaboration, LSEG will leverage AWS services to support the collection, routing, and distribution of its Full Tick and Real-Time Optimized data, while...

EVENT

Eagle Alpha Alternative Data Conference, Fall, New York, hosted by A-Team Group

Now in its 8th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

Solvency II Data Management Handbook

Want to get a handle on Solvency II and what it means for data management? Need to make sure you have all the bases covered for the looming January 2016 deadline? Our Solvency II Data Management Handbook is now available for free download to help you. This Handbook is the ultimate guide to all things...