About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Revolution Analytics Upgrades R Platform For Big Data

Subscribe to our newsletter

Revolution Analytics has announced general availability its commercial-grade analytics suite, Revolution R Enterprise 6.0.  Using the built-in RevoScaleR package, R users can process, visualise and model terabyte-class data rapidly, without the need for specialised hardware.

Highlights of Revolution R Enterprise 6.0 include:

  • Platform LSF Cluster Support – Now supports distributed computing on multi-node Platform LSF grids.  Support on Windows-based grids provided via Microsoft HPC Server.
  • Cloud-based Analytics with Azure Burst – Switch computations from a local Microsoft Windows HPC Server cluster to the Azure Cloud with a single command.
  • Big-Data Generalized Linear Models – Support big-data predictive models used in insurance, finance and biotech industries. Use a multi-node server or distributed grid for fast analytics on big data.
  • Direct Analysis of SAS, SPSS, ASCII and ODBC Data—Analyse proprietary data formats without the need for SAS/SPSS licenses.
  • Updated R 2.14.2 Engine—Improves performance and parallel programming capabilities. In addition, Revolution Analytics’ open-source RHadoop project (for Hadoop integration) is updated to work with this new engine.
Subscribe to our newsletter

Related content

WEBINAR

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

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 infrastructure can take months and absorb significant budget before a single model is tested. At the...

BLOG

Aeron and QuestDB: Building Open Infrastructure for Capital Markets Data

“Co-authored by Adaptive | Aeron and QuestDB” Authors: Ralph Swann, Strategy Group, Adaptive Nicolas Hourcard, CEO, QuestDB Three questions every trading-tech leader is being asked right now. When the matching engine fails over, can we prove every order was handled in the order it arrived, with no losses and no surprises for the regulator? And...

EVENT

RegTech Summit New York

Now in its 10th year, the RegTech Summit in New York will bring together the RegTech ecosystem to explore how the North American capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...