Reports and Guides

GridGain reports highlight specific GridGain in-memory computing solutions and are written by various third-party agencies such as 451, Tanjeta Group, and Inside BIGDATA. They present GridGain’s approach to solving a variety of in-memory computing issues faced by in-memory computing developers, enterprise architects, CIO/CTOs, and other enterprise decision makers.

All GridGain reports are available for free download.

Digital transformation is requiring organizations of all types to explore opportunities to leverage data in the next normal and compete in the digital economy.
The 14 Providers That Matter Most And How They Stack Up
Analytics query accelerators provide optimization on top of semantically flexible data stores, typically associated with data lake architectures. Data and analytics leaders should use these offerings to accelerate the time to value of their data lake initiatives as they move toward operational production delivery.
Application leaders struggle to deliver high-throughput, responsive and reliable APIs while minimizing the workload hitting their systems of record. By extending their API platform with a digital integration hub, they can address these issues and add value by enabling analytics and data integration.
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.
Bloor Group provides an overview of GridGain Systems. The report includes background on the company, an overview of the GridGain's products and how they work, and a summary of why potential users should care. Bloor Group provides rankings for GridGain Systems on a variety of business and technology attributes.
451 Research believes that an increasing proportion of enterprise operational applications will rely on hybrid operational and analytic processing (HOAP) to support use cases such as recommendations, personalized content and offers, and real-time fraud analysis. The availability of high-performance in-memory computing technology, therefore, lays the foundation for…
While IT shops may be generally familiar with traditional in-memory databases - and IT resource economics are shifting rapidly in favor of in-memory options - less is known about how an in-memory approach is a game-changing enabler to big data efforts.
By reducing the latency in operational and analytical processing, organizations can move from a traditional information strategy that often looked backward at the events that happened to a more proactive approach that allows organizations to capitalize on events as they occur and even predict what may happen next. This change to a more proactive operational mindset…
This comprehensive 12-page guide written by respected analyst Daniel Gutierrez from InsideBIGDATA, that explores the critical role in-memory computing is playing in the evolution of the big data industry, including an analysis of the GridGain In-Memory Data Fabric
This infographic shows 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 — about their companies’ attitudes, practices and challenges around data technology, with a focus on the state of the industry’s…
An expanding use of analytics tools that can converge and extract value from multiple data sources has fueled a growing interest in real-time information delivery. Business executives are discovering that information gleaned from real-time data sources—both internal and external to the enterprise—can have more relevance and value in a competitive business context…
This is a comprehensive 12-page guide written by respected analyst Daniel Gutierrez from InsideBIGDATA, which reveals the key knowledge you’ll need to begin implementing the in-memory computing technology necessary to hyperscale your SaaS infrastructure.