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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, ...
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Researchers develop Python code for in-memory computing — in-memory computation comes to Python code - MSNSoftware for in-memory computing is now being developed. Researchers have successfully developed a conversion layer for Python code that allows existing Python code to function with in-memory ...
While processor speeds and memory storage capacities have surged in recent decades, overall computer performance remains ...
Django 4.0 has just been released, centering on capabilities in database caching and forms customization for the Python web framework.. A new Redis cache back end offers built-in support for ...
Oracle Database 21c, the new release of the longtime industry leading RDBMS, is currently available in the Oracle Cloud, where it can be deployed as a Virtual Machine DB System (for clusters and ...
Database vendors are responding to growing enterprise requirements for real-time access to stored data. The Terracotta database runs on top of a distributed in-memory data grid dubbed BigMemory, which ...
The new software platform introduces a set of commands that has become a bridge between in-memory computing and conventional programming languages such as Python. The researchers have developed a ...
The global market for In-Memory Database was estimated at US$10.2 Billion in 2023 and is projected to reach US$35.7 Billion by 2030, growing at a CAGR of 19.5% from 2023 to 2030.
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.
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 ...
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