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.



GridGain In-Memory Computing Platform


This data sheet provides the key features and benefits of the GridGain in-memory computing platform.


GridGain In-Memory Accelerator for Hadoop and Spark


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

Application Notes

Apache® Ignite™ SQL Grid: A Hot Blend of Traditional SQL and In-Memory Data Grid


Apache® Ignite™ includes full support for ANSI SQL-99. This overcomes a major weakness of other in-memory data grids that require developers to completely rewrite their SQL-based code. This application note explains Apache Ignite’s SQL Grid functionality and how to use it to combine the speed and scalability of in-memory computing with the power and flexibility of SQL.

White Papers - Platform


Introducing the GridGain In-Memory Computing Platform


The GridGain in-memory computing platform, built on Apache® Ignite™ , enables high-performance transactions, real-time streaming, and fast analytics in a single, comprehensive data access and processing layer. This white paper covers the architecture, key capabilities and features of GridGain, and its integrations with Apache® Spark™ and Apache® Cassandra™.

Introducing Apache® Ignite™


This paper, written by GridGain founder and CTO, Nikita Ivanov, sums up the architecture and key capabilities of the Apache Ignite™ project. It discusses the key features of Apache Ignite and integrations with Apache Spark and Apache Cassandra.


The GridGain In-Memory Data Grid


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 in-memory data grids and introduces the GridGain In-Memory Data Fabric. Finally, it presents a deep dive on the capabilities of the GridGain solution.

Choosing the Right In-Memory Computing Solution


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.

In-Memory Computing: Now and Tomorrow


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.

White Papers - Use Cases


Empowering Insurance Companies with In-Memory Computing


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.


Achieving Real-Time Financial Regulatory Compliance with In-Memory Computing


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

Empowering Fintech with In-Memory Computing


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.

Boost Performance of Financial Services IoT Projects with In-Memory Computing


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.

Modernize and Accelerate Payment Solutions with In-Memory Computing


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.

Boost Software and SaaS with In-Memory Computing


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.

Transforming Asset and Wealth Management with In-Memory Computing


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.

Supercharge eCommerce with In-Memory Computing


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.

Enable Bitcoin and Blockchain Technology with In-Memory Computing


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.

Accelerate MySQL® for Demanding OLAP and OLTP Use Cases with Apache® Ignite™


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.

Powering Financial Spread Betting with In-Memory Computing


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.

Powering Financial Fraud Prevention with In-Memory Computing


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.

Super Power Apache® Cassandra™ for Extreme OLTP Workloads with GridGain


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.

High-Performance Data Architectures for the Internet of Things


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.

Driving High-Frequency Trading with In-Memory Computing


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.


In-Memory Computing: Leading the Fast Data Revolution


This paper, based on a presentation by GridGain CEO Abe Kleinfeld, discusses the current state and future impact of in-memory computing on society.


In-Memory Data Fabric Features: Real-time Streaming


This white paper describes common streaming functionality along with a comparison with other approaches, and explains specific real-time streaming capabilities provided by the GridGain In-Memory Data Fabric.


In-Memory Accelerator for Hadoop


This white paper discusses performance-related challenges typically found when processing Hadoop data, and describes the GridGain plug-and-play approach to accelerating MapReduce jobs in memory.


GridGain Brief: Meeting the Extreme Demands of Financial Services Computing

Access this important brief that presents common in-memory computing use cases for financial enterprises as well as real-world examples of results attained by GridGain customers.

Reports and Guides


A 451 Research Report


Despite only being open sourced as Apache Ignite in 2014, the core of the GridGain in-memory computing platform is picking up impressive momentum. Downloads, adoption – and indeed GridGain staff and paying customers – are all going in the right direction. The company is flush with another round of funding, and appears to be riding a wave of enthusiasm for not only Apache Ignite, but also the GridGain Enterprise Edition. Read this report by 451 Research to learn more.


Inside BIGDATA Guide to Hyperscaling Your SaaS Infrastructure


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.


Converged, Real-time Analytics


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.


Infographic: Financial Services IT Survey


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.


Inside BIGDATA Guide to In-Memory Computing


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.


Proactively Building Competitive Advantage: Mastering Business with the Speed of In-Memory Computing


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.

Taneja Group Report: Memory is the Hidden Secret to Succerss with Big Data

Taneja Group Report: Memory is the Hidden Secret to Success with Big Data


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.