Downloadable Application Notes and Industry Briefs on In-Memory Computing Topics

GridGain® application notes highlight in-memory computing solutions for various industries and use cases such as fintech, insurance, travel, IoT, omnichannel customer engagement, risk compliance, and more. They present information on a variety of in-memory computing topics faced by developers, enterprise architects, CTO/CIOs, and other enterprise business decision makers

All GridGain application notes are available for free download.

Download this Application Note and learn how GridGain fosters digital transformation and improves the customer experience by adding speed, scalability, and in-memory computing to SQL architectures overwhelmed by the huge increase in data and the need to implement new business demands.
GridGain and Ignite provide an ideal underlying in-memory data management technology for Apache Spark because it supports both in-memory “data at rest” and “data in motion.” Learn how this simplifies many Spark tasks like stream ingestion, data preparation and storage, stream processing, state management, streaming analytics, and machine and deep learning.
By 2020, Gartner expects the Internet of Things (IoT) to have over 20 billion connected things. Many companies have succeeded with IoT using GridGain and Apache Ignite to solve their challenges around speed, scalability, and real-time analytics. Download this application note to learn more.
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.
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.
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.
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.
Learn how companies such as Expedia, HomeAway, JacTravel and TUI Group rely on GridGain and Apache Ignite In-Memory Computing Platforms to deliver a real-time, personalized, seamless end-to-end experience to their customers.
The adoption of big data, advanced analytics, and digital government platforms has driven a 10-1000x growth in interactions and a 50x growth in data over the last decade. Learn how the GridGain in-memory computing platform can help government legacy systems keep up with the exponential growth in data, devices, users, and analytical needs.
Communications and media companies have the opportunity to transform into more modern, digital providers to help drive renewed growth from new OTT services over IP, as well as from services for security and the Internet of Things (IoT). Download this industry brief to discover why telecommunications companies turn to in-memory computing for digital transformation and…