Hazelcast has been deployed in payment processing architectures at some of the world’s largest banks and card processing businesses. Payment processing systems require extremely high throughput rates as well as...
In today’s rapidly changing business environment, staying ahead requires more than just reactionary measures—it necessitates a proactive, informed strategy powered by real-time data. This white paper presents a comprehensive exploration...
The Hazelcast Platform Enterprise Edition features help to simplify production deployments that need secure, always-on, low-latency, in-memory processing capabilities. The enterprise features help you run at peak performance and efficiency....
The EMEA (Europe, Middle East, Africa) region is home to 2.2 billion people and contributes to 38% of the global GDP. As companies become more global and seek to tap...
Credit value adjustment risk calculation is a common example of a massive, parallelized computation system in the financial services industry. Computing costs are high but necessary, considering the importance of...
As payments are increasingly executed using mobile devices, the infrastructure is changing. As always, a multitude of banking channels, financial services providers, payment processors, and payment networks are jockeying for...
Hazelcast is used to accelerate the performance of transaction-based systems that have stringent requirements around high throughput and low latency. Such systems can encounter loads of millions of transactions per...
Get up and running with the Hazelcast IMDG C++ Client quickly with this easy to use reference card. Provides a useful reference for: Map MultiMap List Queue Topic Lock Atomic...
Attaining the highest levels of application performance will continue to be a priority for many enterprises, and the biggest question is around how to get there. Fortunately, in-memory computing technologies...
An In-Memory Computing Platform is predicated on the integration of in-memory technologies, such as an in-memory data grid and in-memory stream processing, which together are complementary to systems of record,...