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

Recorded Webinar: Enhancing trader efficiency with interoperability – Innovative solutions for automated and streamlined trader desktop and workflows

Traders today are expected to navigate increasingly complex markets using workflows that often lag behind the pace of change. Disconnected systems, manual processes, and fragmented user experiences create hidden inefficiencies that directly impact performance and risk management. Firms that can streamline and modernise the trader desktop are gaining a tangible edge – both in speed...

BLOG

Glimpse Markets Partners with Boltzbit to Embed Live-learning AI into Fixed Income Workflows

Glimpse Markets, the buy-side data sharing network focused on the cash bond markets, has partnered with Boltzbit, the deeptech AI company, to embed live-learning, agent-based AI directly into its buy-side bond data-sharing platform, as part of a multi-phase integration programme set to begin in early 2026. Rather than positioning AI as a downstream analytics layer,...

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

GDPR Handbook

The May 25, 2018 compliance deadline of General Data Protection Regulation (GDPR) is approaching fast, requiring financial institutions to understand what personal data they hold, why they process it, and whether it is shared with other organisations. In line with individuals’ rights under the regulation, they must also provide access to individuals’ personal data and...