In-Memory Data Grid/Distributed Cache with HazelCast

Come join us on February 25th with guest speaker Talip Ozturk, Founder and CTO of Hazelcast.

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In-Memory Data Grids have historically been the exclusive domain of large Investment Banks and proprietary solutions such as Oracle Coherence, VMWare Pivotal Gemfire and Software AG Terracotta. Hazelcast provides the leading open source alternative to these solutions, and is helping to support the democratization of Data Grid technology across a much wider range of vertical industries including telco, gaming, travel, ecommerce, software, life sciences, health care and many more.

What is an In-Memory Data Grid?
An In-Memory Data Grid is data management software that enables:

Scale-out Computing: every node adds their CPU and RAM to the cluster, which can be used by all nodes

Resilience: nodes can fail randomly without data loss while minimizing performance impact to running applications

Programming Model: a way for developers to easily program the cluster of machines as if it were a single machine

Fast, Big Data: it enables very large data sets to be manipulated in main memory

Dynamic Scalability: nodes (computers) can dynamically join the other computers in a grid (cluster)

Elastic Main Memory: every node adds their RAM to the cluster’s memory pool

In-Memory Data Grids are often used with Databases in order to improve performance of applications, to distribute data across servers, clusters and geographies and to manage very large data sets or very high data ingest rates.