GridGain® white papers present information on a variety of in-memory computing topics such as in-depth analyses and recommendations for common issues faced by in-memory computing developers, enterprise architects, CIO/CTOs, and other enterprise decision makers. Different approaches for implementing solutions are reviewed, including solutions using the GridGain in-memory computing platform and Apache® Ignite. The white papers cover enterprise use cases such as high-frequency trading, omnichannel customer engagement, the Internet of Things (IoT), financial services, application performance and scaling, fast data, and more.

All GridGain white papers are available for free download.

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 white paper discusses the architecture, key capabilities and features of the Apache® Ignite™ in-memory computing platform project. Learn how it adds speed and scalability to existing and new applications.
Learn how high-performance in-memory computing architecture is rapidly becoming the method of choice for today’s real-time applications that are focused on big data, fast data, streaming analytics or machine and deep learning.
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…
Many companies who have succeeded with IoT have solved their challenges around speed, scalability and real-time analytics with in-memory computing. Across these deployments some common architectural patterns have emerged. This whitepaper explains some of the most common use cases and challenges; the common technology components, including in-memory computing…
white_paper thumbnail
This white paper provides insight on improving the scale, speed, and agility of MySQL so that it can support the digital transformation initiatives of today's enterprises. New business needs and performance demands have pushed many applications beyond MySQL's (and other RDBMSs) architectural limits. In many cases, the issues cannot be remedied by just fixing MySQL.
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.
This white paper discusses how to increase and accelerate your Oracle database speed and scale using in-memory computing. There are many Oracle® options for adding speed and scale to Oracle Database, or for replacing it—including Oracle RAC, Oracle Database In-Memory, Oracle Exadata, Oracle GoldenGate, Oracle TimesTen Classic, Oracle TimesTen Scaleout, and Oracle…
This white paper explains how to use in-memory computing to add PostgreSQL speed and scale options to end-to-end IT infrastructure—both from PostgreSQL-centric vendors and from other open source and third-party products. It also explains how help create flexible IT infrastructure over time to both increase speed and scale.
This white paper will take a detailed look at the challenges faced by companies that have either used Redis and run into its limitations, or are considering Redis and find it is insufficient for their needs. This paper will also discuss how the GridGain in-memory computing platform has helped companies overcome the limitations of Redis for existing and new…
white_paper thumbnail
This white paper discusses how to increase Microsoft® SQL Server® speed and scale using in-memory computing. There are options for adding speed and scale to Microsoft SQL Server® at the database level—including SQL Server Always On Availability Groups and SQL Server In-Memory OLTP—and each has its place. But when the speed and scale needs extend beyond the database…
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.
white_paper thumbnail
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.
white_paper thumbnail
This white paper discusses how to accelerate Apache® Cassandra™ and improve Cassandra performance. Apache Cassandra is a popular NoSQL database that does certain things incredibly well. It can be always available, with multi-datacenter replication. It is also scalable and lets users keep their data anywhere.
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
white_paper thumbnail