In-Memory Computing for Financial Services

Leveraging in-memory computing is imperative for financial services organizations like banks and investment management firms. GridGain® Systems is a leader in in-memory computing solutions for the financial services industry. The GridGain in-memory computing platform enables unprecedented speed and scalability for transactional, analytical and hybrid transactional/analytical processing (HTAP) financial services use cases across any data store.

GridGain is proven technology which delivers in-memory speed with massive scalability to petabytes of in-memory data. GridGain solutions provide predictable latency, flexible scaling, configurable data consistency and reliable uptime. The GridGain in-memory computing platform can run on commodity hardware installed on premise, in the Cloud, or in a hybrid environment. It is built on the open source Apache® Ignite project code base, offering all the benefits of open source software with the backing of a reliable, commercial company behind the technology.

Financial Services Clients

A leading global bank based in Belgium. View their keynote from the In-Memory Computing Summit on capital market use cases for in-memory computing.

The largest bank in Eastern Europe with over 130 million clients. Read about their needs in this CIO.com article.

A leading global bank based in France which ranks among the top 20 banks worldwide based on total assets.

Financial Services Use Cases for GridGain Technology

Algorithmic Trading

EOD & Intraday Risk Assessment

Interest Rate Derivatives (IRD)

Market Data Applications

Financial Exchange

Resources

This white paper discusses the challenges facing today’s insurance industry, the opportunities new technologies can offer, and the crucial edge that providers can gain with solutions such as the GridGain in-memory computing platform.
This white paper will give you a better understanding of how in-memory computing forms the backbone of successful high performance, highly scalable and mission-critical technology solutions in the FinTech industry. You will also learn how in-memory computing helps address many current limitations of legacy financial systems.

Bitcoin and blockchain, the digital-ledger technology behind this electronic currency, are generating enormous amounts of interest in the financial services industry. Most of the larger banks are investigating this area, and many technology companies are building platforms to enable blockchain technology for financial services firms.

Spread betting offers some compelling advantages, including low entry and transaction costs, preferential tax treatment, and a diverse array of products and options. Traders can bet on any type of event for which there is a measurable outcome that might go in either of two directions – for example, housing prices, the value of a stock-market index, or the difference in the scores of two teams in a sporting event.

Financial fraud detection and prevention is not a simple task, and firms must tackle it simultaneously with other crucial tasks such as ensuring regulatory compliance. To accomplish these data-intensive tasks in a timely manner, financial firms need solutions that are flexible, scalable, reliable, and fast enough to analyze extremely large datasets in real-time.

This paper looks at the current state of high-frequency trading – why it’s popular and what types of strategies and technologies are being used – and then explores how in-memory computing can meet the technological challenges and increase profits within this market segment.
Read this white paper and learn how financial services companies are using in-memory computing to address the technical challenges caused by new and recent financial regulatory initiatives
FinTech companies face many of the same challenges as their largest customers. Their new channels and services, as well as core banking, insurance, and real estate systems, must deliver 100-1000x speed and scale compared to existing systems. Download this Industry Brief and learn how the GridGain In-Memory Computing Platform can address these issues and more.
Leading banks, asset management firms, and fintech companies rely on the GridGain in-memory computing platform as a foundation for real-time risk analytics, portfolio management, and regulatory compliance. These companies use Gridgain to achieve a common, real-time view of risk by bringing together many types of information. Download this Industry Brief to learn how.
Omnichannel banking needs a single, real-time view of the customer that is shared across channels. Companies use the GridGain in-memory computing platform to create infrastructure for 10x or greater digital channel loads, proactively personalize and improve the customer’s experience, and allow real-time analytics and automation. This Industry Brief tells you how.
Insurers must go beyond fulfilling the latest regulatory requirements to maximize the chances of surviving and thriving. They must also innovate for customer and risk analytics, customer experience management, and digital business. Download this Industry Brief to learn how the GridGain in-memory computing platform helps you achieve these goals.
Leading banks and fintech companies have already adopted the GridGain in-memory computing platform as the foundation for FRTB and their next generation trading systems. With GridGain, these banks have been able to rapidly implement the required XVA calculations, continuously run their new risk models and price new securities in near real-time. Learn more now.
Finastra deployed the GridGain in-memory computing platform to embrace real-time services and satisfy evolving compliance, reporting regulations, and customer demands in Europe. As a large financial technology company, Finastra solutions must manage huge amounts of trade and accounting data. Finastra used GridGain to help to implement a new Java-based IT stack that supports data lakes instead of traditional databases.
This eBook, Part 3 in the In-Memory Computing for Financial Services eBook Series, discusses how financial service firms are using in-memory computing platforms such as GridGain and Apache® Ignite™ in their strategy to improve the performance of asset and wealth management, spread betting and banking applications.
This eBook, Part 2 in the In-Memory Computing for Financial Services eBook Series, discusses how financial service firms are using in-memory computing platforms such as GridGain and Apache® Ignite™ in their strategy to improve the performance of payment systems, IoT applications, and bitcoin/blockchain technology.
This eBook, Part 1 in the In-Memory Computing for Financial Services eBook Series, discusses how financial service firms are using in-memory computing platforms such as GridGain and Apache® Ignite™ to address the challenges of high-frequency trading, fraud prevention and real-time regulatory compliance.

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