Performance Analysis of Neo4j, MongoDB, and PostgreSQL on 2019 National Election Big Data Management Database

Wiseso, Linggis Galih; Imrona, Mahmud; Alamsyah, Andry

doi:10.1109/icsitech49800.2020.9392041

Cited by 7 publications

(2 citation statements)

References 4 publications

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“…The functioning of the EMDB server itself does not imply strict performance requirements, given the relatively limited amount of data (in the order of MBs) to be uploaded by each experiment manager (the expected number of experiments is 20/30) and downloaded by project managers. However, generalizing the specific use case, the solution is big data ready, being based on MongoDB, a popular (particularly, involving a large, active community of users and rich documentation), high-performance, state-of-the-art non-relational DB system [ 24 , 25 ]. On the other hand, huge quantities of data are processed by the toolchain at each experiment’s site, for the automatic extraction of the progress/performance indicators from the project’s raw files.…”

Section: Specifications and Requirementsmentioning

confidence: 99%

Exploiting Big Data for Experiment Reporting: The Hi-Drive Collaborative Research Project Case

Capello,

Fresta,

Bellotti

et al. 2023

Sensors

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As timely information about a project’s state is key for management, we developed a data toolchain to support the monitoring of a project’s progress. By extending the Measurify framework, which is dedicated to efficiently building measurement-rich applications on MongoDB, we were able to make the process of setting up the reporting tool just a matter of editing a couple of .json configuration files that specify the names and data format of the project’s progress/performance indicators. Since the quantity of data to be provided at each reporting period is potentially overwhelming, some level of automation in the extraction of the indicator values is essential. To this end, it is important to make sure that most, if not all, of the quantities to be reported can be automatically extracted from the experiment data files actually used in the project. The originating use case for the toolchain is a collaborative research project on driving automation. As data representing the project’s state, 330+ numerical indicators were identified. According to the project’s pre-test experience, the tool is effective in supporting the preparation of periodic progress reports that extensively exploit the actual project data (i.e., obtained from the sensors—real or virtual—deployed for the project). While the presented use case concerns the automotive industry, we have taken care that the design choices (particularly, the definition of the resources exposed by the Application Programming Interfaces, APIs) abstract the requirements, with an aim to guarantee effectiveness in virtually any application context.

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Section: Specifications and Requirementsmentioning

confidence: 99%

Exploiting Big Data for Experiment Reporting: The Hi-Drive Collaborative Research Project Case

Capello,

Fresta,

Bellotti

et al. 2023

Sensors

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“…The database of the client-server system of automation of the library index is implemented on PostgreSQL [9].…”

Section: The Structure Of the Database Of The Library Index Automatio...mentioning

confidence: 99%

Client-Server Library Index Automation System

Repianskyi¹,

Rak²

2022

ACPS

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The goal of the work is to develop a client-server software system for library index automation, which consists of the user interface, presented as a web page, back-end server layer, and database. The problem of developing a library index automation system has been considered. The developed structure of the library index automation system has been presented. The structure of the library index automation system database has been proposed. The features of designing the user interface of the library index automation system have been considered. The general algorithm of the library index automation system and the system's class diagram have been presented. To make sure that the developed system is secure and stable development testing as well as stress testing have been performed.

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