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Evaluation of the TimescaleDB PostgreSQL Time Series extension

The purpose of this project was to evaluate TimeScaleDB, an Open Source PostgreSQL extension which extends the functionality of the PostgreSQL database for hosting Time Series data in an optimum way while maintaining 100 % compatibility with the SQL standard and native PostgreSQL features such as re...

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Autor principal: Stefancova, Elena
Lenguaje:eng
Publicado: 2018
Materias:
Acceso en línea:http://cds.cern.ch/record/2638621
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author Stefancova, Elena
author_facet Stefancova, Elena
author_sort Stefancova, Elena
collection CERN
description The purpose of this project was to evaluate TimeScaleDB, an Open Source PostgreSQL extension which extends the functionality of the PostgreSQL database for hosting Time Series data in an optimum way while maintaining 100 % compatibility with the SQL standard and native PostgreSQL features such as replication. Early results of the solution look very promising compared to alternatives like InfluxDB (currently used at CERN) with a considerable improvement in the use of resources under heavy activity loads while additional benefiting of transparently integrating with currently offered CERN IT solutions. The technical core of the project would consist on deploying a setup capable of hosting the an activ- ity load equivalent to current CERN Time Series use cases using TimescaleDB to better understand its feature set and resource requirements.
id cern-2638621
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2018
record_format invenio
spelling cern-26386212019-09-30T06:29:59Zhttp://cds.cern.ch/record/2638621engStefancova, ElenaEvaluation of the TimescaleDB PostgreSQL Time Series extensionComputing and ComputersThe purpose of this project was to evaluate TimeScaleDB, an Open Source PostgreSQL extension which extends the functionality of the PostgreSQL database for hosting Time Series data in an optimum way while maintaining 100 % compatibility with the SQL standard and native PostgreSQL features such as replication. Early results of the solution look very promising compared to alternatives like InfluxDB (currently used at CERN) with a considerable improvement in the use of resources under heavy activity loads while additional benefiting of transparently integrating with currently offered CERN IT solutions. The technical core of the project would consist on deploying a setup capable of hosting the an activ- ity load equivalent to current CERN Time Series use cases using TimescaleDB to better understand its feature set and resource requirements.CERN-STUDENTS-Note-2018-137oai:cds.cern.ch:26386212018-09-17
spellingShingle Computing and Computers
Stefancova, Elena
Evaluation of the TimescaleDB PostgreSQL Time Series extension
title Evaluation of the TimescaleDB PostgreSQL Time Series extension
title_full Evaluation of the TimescaleDB PostgreSQL Time Series extension
title_fullStr Evaluation of the TimescaleDB PostgreSQL Time Series extension
title_full_unstemmed Evaluation of the TimescaleDB PostgreSQL Time Series extension
title_short Evaluation of the TimescaleDB PostgreSQL Time Series extension
title_sort evaluation of the timescaledb postgresql time series extension
topic Computing and Computers
url http://cds.cern.ch/record/2638621
work_keys_str_mv AT stefancovaelena evaluationofthetimescaledbpostgresqltimeseriesextension