GridGain White Papers, Application Notes and Datasheets

Downloadable Files on In-Memory Computing Topics

Download datasheets, white papers and application notes from GridGain Systems on a range of topics related to in-memory computing. These free resources discuss the technology behind GridGain®, Apache® Ignite, and discuss common and emerging use cases for in-memory computing. Learn from leaders in the in-memory computing field that write about the current state of in-memory computing technology and also about common and emerging use cases.

Datasheets

This data sheet provides the key features and benefits of the GridGain in-memory computing platform.
This data sheet provides the key features and benefits of the GridGain In-Memory Accelerator for Hadoop and Spark.

White Papers

Use Cases
This white paper will discuss 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.
Platform
The in-memory computing solutions of the future must not only offer the key capabilities that database users expect, such as SQL support, but also provide a bridge to emerging use cases, such as machine learning and deep learning, and transformative new storage technologies, such as non-volatile memory. This white paper delves into these application-crucial topics and then shows how Apache Ignite and GridGain are addressing them.
Use Cases
This white paper discusses how an in-memory computing platform solution like GridGain gives financial services companies the speed, scalability, and flexibility they need to build successful IoT-based applications and services.
Use Cases
The shift to digital payments is not without challenges: real-time processing, fraud prevention, and analytics to gain insight and compliance. This paper shows how in-memory computing can help.
Platform
This white paper reviews why IMC makes sense for today’s fast-data and big-data applications, dispels common myths about IMC, and clarifies the distinctions among IMC product categories to make the process of choosing the right IMC solution for a specific use case much easier.
Use Cases
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.
Use Cases
The time is right to leverage the improved performance and scale provided by in-memory computing to make software and SaaS implementations run optimally. This white paper discusses how an in-memory computing platform like GridGain and Apache Ignite can boost software and SaaS solutions.
Use Cases
To achieve competitive application performance, scalability, and analytical sophistication, many financial-services providers are turning to in-memory computing solutions. This white paper will discuss the increased expectations of investors, the new challenges providers are facing, and how providers can gain the edge they need with solutions such as the GridGain in-memory computing platform.
Use Cases
One way to evolve eCommerce technology is to make it as fast, available, and scalable as possible. This white paper discusses how an in-memory computing platform can accomplish this, while both providing competitive advantage and addressing the issues that eCommerce developers face.
Use Cases
This white paper will discuss bitcoin and blockchain technology, describe the innovative opportunities this technology offers for financial services firms, and examine how in-memory options such as the GridGain in-memory computing platform can address the challenges and boost the effectiveness of tomorrow’s blockchain applications.
Use Cases
This white paper will help you understand how incorporating Apache Ignite into your architecture can empower dramatically faster analytics and transactions when augmenting your current MySQL® infrastructure.
Use Cases
Spread betting is a high-volatility, minimally regulated market with significant risks. To limit these risks – and increase the rewards – financial institutions involved in spread betting are using advanced mathematical models to analyze large amounts of data, predict outcomes, and devise optimal strategies. These computationally intense actions must be performed at very high speeds to take advantage of current market conditions. Fortunately, there are technologies today that provide the real-time speed needed for such strategies. This white paper will discuss the advantages and risks of spread betting, the technologies being used for it, and the reasons why in-memory computing is becoming the technology of choice for brokerages, asset managers, online gambling firms, and other players who want to succeed at spread betting.
Use Cases
Fraud prevention is no simple task, and firms must tackle it simultaneously with other crucial tasks such as ensuring regulatory compliance. Fortunately, today’s in-memory technologies provide power tools for combatting fraud – tools that perform complex processing, modeling, and analysis of big data in real-time. This white paper discusses how firms are addressing fraud, and why in-memory computing technologies such as GridGain are perfectly suited to the task of detecting and stopping fraud.
Use Cases
This white paper will discuss the lack of in-memory capabilities in Apache® Cassandra™, why in-memory solutions make sense for today’s web and cloud applications, and how combining Cassandra with Apache® Ignite™ or GridGain can create an architecture that provides a substantial speed boost and a host of other benefits.
Use Cases
This white paper takes a look at popular use cases for and components of IoT. It then discusses the data architecture and resource challenges caused by typical approaches to IoT. You will learn how the GridGain in-memory computing platform provides a way to simplify this architecture while reducing your team’s technical learning curve.

Reports and Guides

Access this third-party report by respected analyst firm The Taneja Group on the importance of GridGain’s approach to Big Data and Hadoop acceleration in particular.
Read EMA’s thorough coverage of how In-Memory Computing and Data Fabric technology are driving the growth of industries like finance, utilities and consumer retailing.
Download this informative Guide to In-Memory Computing and Data Fabric technology by Inside BIGDATA, one of the most authoritative publishers in the field of Big Data Analytics.
Download this insightful infographic showing the results of a survey of about 200 IT decision-makers — including project managers, network managers, software and business analysts, and other technology professionals working in the financial services industry.
Download this in-depth technical insight paper by respected IT analyst firm the Evaluator Group which covers how fast data technologies such as the In-Memory Data Fabric enable faster decision making and new business opportunities.
Access this essential guide to Hyperscaling your SaaS (or PaaS or IaaS) infrastructure through In-memory technology written by the leading Big Data publishing firm, Inside BIGDATA.