Technical Papers for Developers
Download datasheets, white papers, application notes, industry briefs, reports, and eBooks from GridGain® Systems on a range of topics related to in-memory computing. These free resources discuss the technology behind GridGain and Apache® Ignite™ and discuss common and emerging use cases for in-memory computing. Leaders in the in-memory computing field write about the current state of in-memory computing technology as well as common and emerging use cases.
All GridGain literature is available for free download.
Case Study
ChronoTrack selected GridGain in-memory computing solutions to help process the data from races: times, ranks and scores tens of thousands of participants in hundreds of races every week. The ChronoTrack system captures participant data multiple times in a single race across several categories. With that data, they use a calculation algorithm to establish rankings quickly.…
Reports or Guides
The 451 Take is that GridGain continues to increase in size and expand its platform with new, differentiating features.
Last year in particular was strong for the company, especially in terms of recurring revenue growth
and the number of new features released.
eBooks
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.
White Papers
This white paper discusses how incorporating Apache Ignite into your architecture can empower dramatically faster online analytics processing (OLAP) and online transaction processing (OLTP) when augmenting your current MySQL infrastructure. Read this white paper to learn more about how Apache Ignite can eliminate the pain points of MySQL.
Application Notes
The high performance GridGain platform is ideal for
digital transformation use cases. However, some low
latency/high transaction volume scenarios, such as in
the financial services and telecommunications industries,
strain the capabilities of standard Java Virtual
Machines (JVMs).
Product Comparisons
This product comparison describes the advantages and benefits of migrating from DataSynapse to GridGain as an in-memory computing solution to power mission-critical and data-intensive applications.
White Papers
Download this white paper to learn about your options for adding speed, scale and agility to end-to-end IT infrastructure—from SAP HANA to third-party vendors and open source. It also explains how to evolve your architecture over time for speed and scale, become more flexible to change, and support new technologies as needed.
Datasheets
This data sheet provides the key features and benefits of the GridGain in-memory computing platform.
White Papers
This white paper provides an overview of in-memory computing technology with a focus on in-memory data grids. It discusses the advantages and uses of an IMDG and its role in digital transformation and improving the customer experience. It also introduces the GridGain® in-memory computing platform, and explains GridGain’s IMDG and other capabilities that have helped companies…
Application Notes
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.
Product Comparisons
This in-depth feature comparison shows how the most current versions of GridGain Professional Edition, Enterprise Edition, Ultimate Edition and Oracle Coherence (and their respective open source projects where relevant) compare in 25 different categories.
White Papers
This white paper discusses how in-memory computing is helping companies address increasing mobile application usage, real-time data needs, improving the customer experience, fraud prevention, compliance, and other requirements to modernize and accelerate payment solutions.
Case Study
International Bank Counts on HPC and Fast Data with GridGain®
A leading international bank offering investment advisory and wealth management services to private and institutional clients around the world was looking to upgrade it
Reports or Guides
Digital transformation is requiring organizations of all types to explore opportunities to leverage data in the next normal and compete in the digital economy.
eBooks
This Machine and Deep Learning Primer, the first eBook in the “Using In-Memory Computing for Continuous Machine and Deep Learning” Series, is designed to give developers a basic understanding of machine and deep learning concepts.
Topics covered include:
White Papers
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.
Application Notes
Digital Integration Hubs (DIH) solve a key challenge enterprises face when driving toward real-time business processes in an environment where data is spread across disparate databases. The GridGain in-memory computing platform has proven to be a key component of DIH architectures. Download the application note to learn more about the Digital Integration Hub architecture with…