Pregled bibliografske jedinice broj: 1015968
Comparison of Relational and Time-Series Databases for Real-Time Massive Datasets
Comparison of Relational and Time-Series Databases for Real-Time Massive Datasets // Proceedings of the International Conference on Computers in Technical Systems MIPRO 2019 Opatija
Opatija, Hrvatska, 2019. str. 1065-1070 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1015968 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Comparison of Relational and Time-Series Databases for Real-Time Massive Datasets
Autori
Musa, Ema ; Delač, Goran ; Šilić, Marin ; Vladimir, Klemo
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the International Conference on Computers in Technical Systems MIPRO 2019 Opatija
/ - , 2019, 1065-1070
Skup
42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2019)
Mjesto i datum
Opatija, Hrvatska, 20.05.2019. - 24.05.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
time-series databases ; performance analysis ; InfluxDB ; PostgreSql
Sažetak
Many contemporary technical systems, like IoT environments, are designed to work perpetually and collect data in a form of time series. To enable efficient data aggregation and analysis with time interval constraints, a special type of databases optimized for time-series has been developed. In this paper, we conduct a thorough performance comparison of a time-series database InfluxDB and a widely used object-relational database PostgreSql. We present our findings and outline scenarios in which a certain database has a performance advantage.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
HRZZ-IP-2018-01-6423 - Pouzdani kompozitni primjenski sustavi zasnovani na web uslugama (RELS) (Srbljić, Siniša, HRZZ ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
