End-to-End Toolkit to Evaluate Time Series Database Systems

SEER is an online tool to evaluate the performance of time series database systems on large datasets.

This tool was created at the eXascale Infolab, a research group at the University of Fribourg, Switzerland. This work was done under the supervision of Dr. Mourad Khayati.

SEER

SEER is an online tool for evaluating the performance of seven Time Series Database Systems (TSDBs) using a mixed set of workloads. The tool builds upon our TSM-Bench benchmark. SEER implements an end-to-end pipeline for database benchmarking, from data generation and workload evaluation to feature contamination.

Features


Datasets:

Workloads Evaluation:

Feature Impact

Publications

  1. Abdelouahab Khelifati, Mourad Khayati, Anton Dignös, Djellel Difallah, and Philippe Cudré-Mauroux.“TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications.” In Proceedings of the VLDB Endowment, Vol. 16, 2023
  2. Luca Althaus, Mourad Khayati,Abdelouahab Khelifati, Anton Dignös, Djellel Difallah, and Philippe Cudré-Mauroux.“SEER: An End-to-End Toolkit for Benchmarking Time Series Database Systems in Monitoring Applications.” In Proceedings of the VLDB Endowment, Vol. 17, 2024