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 ...

Enterprise AI teams are moving beyond single-turn assistants and into systems expected to remember preferences, preserve ...

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 ...

MOUNTAIN VIEW, Calif., Nov. 20, 2023 — Aerospike Inc. released Version 7 of its real-time, multi-model database with a new unified storage format and other significant in-memory database enhancements.

Having access to real-time data is not just a “nice to have” anymore, as it’s business critical for organizations across any industry. Nevertheless, most database platforms used today are decades old ...

Architect Rajaganapathi Rao discusses SAP HANA migrations, real-time data platforms, and how modern architecture transforms ...

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 ...