Analytics platform provider ActiveViam has released a new product featuring a Python layer around ActivePivot, its in-memory database. Allen Whipple, co-founder and managing director at ActiveViam, ...

Researchers have successfully developed a conversion layer for Python code that allows existing Python code to function with in-memory computing. tom's Hardware.

HD 2.0 also includes GraphLab, a graph analytics algorithms package, and tools to allow programmers using R, Python, and Java to “enable business logic and procedures otherwise cumbersome with ...

While processor speeds and memory storage capacities have surged in recent decades, overall computer performance remains constrained by data transfers, where the CPU must retrieve and process data ...

With Database 21c, Oracle adds another form of query processing for data persisted in-memory: vector processing for queries that involve repeated actions such as hash joins.

DragonflyDB Inc., a startup with an in-memory database designed to speed up enterprise applications, today announced that it has secured $21 million in funding.The startup raised the capital over ...

Oracle took a best-of-both-worlds approach to its in-memory option. The add-on creates an in-memory column store, which dramatically speeds up analytic queries, while preserving the database’s ...

In-memory processing using Python promises faster and more efficient computing by skipping the CPU. News. By Wayne Williams published 3 December 2024 ...