ActiveViam Embraces Python for its In-Memory Database

Analytics platform provider ActiveViam has released a new product featuring a Python layer around ActivePivot, its in-memory database.

Allen Whipple, co-founder and managing director at ActiveViam, says the Python layer will be an extension to ActivePivot, where everything that users can do in Java will be made available to do within Python. “We’re very close, but not quite there yet,” he says.

ActiveViam’s solutions allow firms to analyze large volumes of data and perform risk management functions related to market risk, counterparty credit risk, and liquidity risk, as well as comply with regulatory requirements such as the Fundamental Review of the Trading Book (FRTB), the standardized approach for counterparty credit risk (SA-CCR), and credit valuation adjustment risk capital (CVA-RC), among others. 

In April, ActiveViam launched Atoti, which enriches Python notebooks so that data scientists and engineers can integrate visualizations inside a notebook, manage large volumes of data, run simulations, and create and share dashboards, and the library is available on Atoti.io site.   

Atoti integrates Python within ActivePivot and it’s data visualization engine ActiveUI and makes these technologies accessible to quants, data scientists, and data analysts.

“What we’ve done is we’ve taken the whole engineering paradigm of defining a problem, prototyping, cycling, specification, and then handing off to IT to go and build something, and we’ve tried to compress that into something where people are collaborating and immediately able to do things within a day or two,” Whipple says. 

Correction: In the original article, ActiveViam’s roadmap going forward was incorrectly portrayed, so the story has been updated to reflect how they’re using the Python programming language.