REAL-TIME ANALYTICS: BENEFITS, LIMITATIONS, AND TRADEOFFS-Reference-Cited by-同舟云学术

REAL-TIME ANALYTICS: BENEFITS, LIMITATIONS, AND TRADEOFFS

Published:2023-01-01 Issue:1 Volume: Page:3-31
ISSN:0132-3474
Container-title:Программирование
language:
Short-container-title:Programmirovanie

Author:

KUZNETSOV S. D.¹²³⁴,VELIKHOV P. E.⁵,Fu Q.⁶

Affiliation:

1. Ivannikov Institute for System Programming of the Russian Academy of Sciences

2. Moscow State University

3. Moscow Institute of Physics and Technology (State University)

4. National Research University, Higher School of Economics

5. TigerGraph

6. Huawei Technologies Co., Ltd.

Abstract

Real-time analytics is a relatively new branch of analytics. A common definition of real-time analytics is that it consists in analyzing data as quickly as possible over the most recent data possible. This defines the essence of the fundamental needs of users, but in no way is a specific requirement for the corresponding software systems due to the vagueness of the definition. As a result, different manufacturers of analytical datamanagement systems and researchers classify real-time analytics systems as extremely different systems, which differ in architecture, functionality, and even timing. The purpose of this article is to analyze the different approaches to providing real-time analytics, their advantages and disadvantages, and the tradeoffs that both system designers and their users inevitably have to make.

Publisher

The Russian Academy of Sciences

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