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.
This data sheet provides the key features and benefits of the GridGain in-memory computing platform.
GridGain offers highly responsive, reliable managed services – known as GridGain Nebula – for the Apache Ignite or GridGain in-memory computing platforms at a fraction of the cost of staffing an internal team. We can manage your environment 24x7, whether on-premises, on a private or public cloud, or on a hybrid environment. Download the datasheet to learn more.
Capital markets applications often require high performance, massive scalability, and high-performance data access across the enterprise to meet the demands of modern, digital business activities.
This white paper covers the architecture, key capabilities, and features of GridGain®, as well as its key integrations for leading RDBMSs, Apache Spark™, Apache Cassandra™, MongoDB® and Apache Hadoop™. It describes how GridGain adds speed and unlimited horizontal scalability to existing or new OLTP or OLAP applications, HTAP applications, streaming analytics, and…
This Machine Learning and Deep Learning primer, the second in the “Using In-Memory Computing for Continuous Machine and Deep Learning” Series, is a hands-on tutorial that covers how to use the Apache Ignite built-in machine learning algorithms Linear Regression, k-Nearest Neighbor (k-NN), k-Means Clustering, and Compute Mean Entropy.
In this eBook, you’ll learn best practices for establishing a sound and cost-effective in-memory computing foundation for digital transformation. This eBook is Part 1 of the best practices for digital transformation series.
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…
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
Reports and Guides
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…