Modernize Capital Markets Applications with In-Memory Computing

Learn how in-memory computing delivers real-time data access, horizontal scalability, and unified APIs to boost performance across trading, risk, portfolio, and compliance systems.

  • Build an Investment Book of Record for real-time positions and exposure
  • Run HTAP analytics on transactional data without performance impact
  • Consolidate risk data across systems with a Digital Integration Hub
  • Accelerate portfolio what-if analysis from minutes to sub-seconds
  • Support streaming analytics and continuous queries for real-time alerts
  • Enable FRTB and XVA-scale risk calculations with co-located computing

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About this white paper

Capital markets applications face growing demands for performance, scalability, and real-time data access—driven by more data sources, more electronic trading, and heavier regulatory compute requirements (e.g., MiFID II, FRTB, XVA). This white paper explains how in-memory computing (IMC) helps firms meet these demands while supporting digital transformation across disparate data sources.

It describes how the GridGain in-memory computing platform (built on Apache Ignite) uses massively parallel in-memory processing, horizontal scale-out, and unified APIs (including SQL with ODBC/JDBC plus multiple language clients) to deliver high performance across large, distributed datasets—on-prem, cloud, or hybrid.

The paper then maps IMC to capital markets use cases such as Investment Book of Record (IBOR), portfolio management what-if analysis, pricing/grid computing, risk consolidation via a Digital Integration Hub, fraud detection and surveillance, electronic trading, and large-scale FRTB/XVA risk calculations using “code-to-data” co-located computing.

In-memory computing provides in-memory speed, horizontal scalability, a real-time data-access layer, and unified APIs.

Modernize Capital Markets Applications with In-Memory Computing

White paper on in-memory computing for capital markets, covering IBOR, HTAP analytics, DIH risk consolidation, fraud detection, electronic trading, and FRTB/XVA-scale risk calculations.

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