In-Memory Computing enables processing up to 1,000,000x faster than with disk-based storage and scalability to hundreds of TBs by adding commodity nodes to the cluster. It is characterized by using high-performance, integrated and distributed memory systems to compute and transact on large-scale data sets in real-time.
The GridGain In-Memory Data Fabric for .NET delivers outstanding performance for a wide set of in-memory computing use cases on top of the .NET platform. Use cases include high performance computing, CEP, and data streaming.
Join us Wednesday, August 3, 2016 at 11:00 AM PDT/2:00 PM EDT to hear Dmitriy Setrakyan, Founder & CPO of GridGain Systems, speak about the .NET features of GridGain and Apache Ignite.
In this webinar, Dmitriy will describe how GridGain and Apache Ignite can decrease data query times by up to 1,000,000x while massively scaling out critical .NET applications. Through the sample use cases and code examples you will learn how to get started as well as keys to a successful deployment.