In-Memory Analytics

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What Does In-Memory Analytics Mean?

In-memory analytics is an enterprise architecture (EA) framework solution used to enhance business intelligence (BI) reporting by querying data from system memory (RAM), versus the traditional hard disk drive medium. This approach significantly reduces querying time in an effort to facilitate efficient business decisions.

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Techopedia Explains In-Memory Analytics

With the evolution of BI and RAM hardware technology, more BI platforms are available and affordable, including in-memory analytics tools used to facilitate enterprise decision making – even for small businesses.

Traditional BI incorporates dedicated, heavy resources for building data structures through online analytical processing (OLAP) programming or denormalized schemas. In-memory analytics eliminates the overhead of storing data aggregate tables or indexing pre-aggregated data cubes, resulting in extremely fast query responses. In short, faster data retrieval speeds indicate faster processing and informed decision making.

In October 2011, Oracle introduced the Oracle Exalytics In-Memory Machine – the first in-memory BI analytics system.

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Margaret Rouse
Senior Editor
Margaret Rouse
Senior Editor

Margaret is an award-winning technical writer and teacher known for her ability to explain complex technical subjects to a non-technical business audience. Over the past twenty years, her IT definitions have been published by Que in an encyclopedia of technology terms and cited in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine, and Discovery Magazine. She joined Techopedia in 2011. Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages.