With data volumes spiraling out of control, companies are searching for less expensive and more efficient storage technologies. The most common approaches for storing data have been with disk and ...

The first generation of distributed databases was optimized to write to disk with limited or secondary support for caching. Applications inefficiently relied on a separate in-memory cache that was ...

Major upgrade to the ever-evolving Oracle Database brings JavaScript support, graph optimizations, in-memory enhancements, and dramatic improvements to JSON operations and in-database machine learning ...

A technical paper titled “Darwin: A DRAM-based Multi-level Processing-in-Memory Architecture for Data Analytics” was published by researchers at Korea Advanced Institute of Science & Technology (KAIST ...

“With Amazon MemoryDB for Redis, customers can now simplify their architecture with a durable and ultra-fast in-memory database, free from the hassle of managing a separate cache, database, and the ...

In this new Guide to In-Memory Computing the goal is to provide direction for enterprise thought leaders on ways of leveraging in-memory computing to analyze data faster, improve the quality of ...

Data prefetching has emerged as a critical approach to mitigate the performance bottlenecks imposed by memory access latencies in modern computer architectures. By predicting the data likely to be ...