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

MySQL® is a widely used, open source relational database management system (RDBMS) which is an excellent solution for many applications, including web-scale applications. To learn more about MySQL and open source database management systems, download this white paper.

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

MySQL is a widely used, open source relational database management system (RDBMS) which is an excellent solution for many applications, including web-scale applications. To learn more about accelerating MySQL for demanding OLAP and OLTP use cases with Apache Ignite download this guide.

In Memory Computing Speeds Results

In-Memory Computing can accelerate traditional applications by using a memory first design. Applicable to a wide range of domains, In-Memory Computing and In-Memory Data Grids take advantage of the latest trends in computer systems technology. “In-memory computing is designed to address some of the most critical and real-time task requirements today. This include real-time fraud detection, biometrics and border security and financial risk analytics. All of these use cases require very low latency access to data from very large amounts of data, which results in faster and more accurate decisions.”

In-Memory Data Grids

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. Download this guide to learn more.

In Memory Data Grids

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. Download this guide to learn more.