Benchmarking Polystores: the CloudMdsQL Experience

Boyan Kolev 1, 2 Raquel Pau 3 Oleksandra Levchenko 1 Patrick Valduriez 1 Ricardo Jiménez-Peris 2 José Pereira 2
1 ZENITH - Scientific Data Management
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : The CloudMdsQL polystore provides integrated access to multiple heterogeneous data stores, such as RDBMS, NoSQL or even HDFS through a big data analytics framework such as MapReduce or Spark. The CloudMdsQL language is a functional SQL-like query language with a flexible nested data model. A major capability is to exploit the full power of each of the underlying data stores by allowing native queries to be expressed as functions and involved in SQL statements. The CloudMdsQL polystore has been validated with a good number of different data stores: HDFS, key-value, document, graph, RDBMS and OLAP engine. In this paper, we introduce the benchmarking of the CloudMdsQL polystore and evaluate the performance benefits of important features enabled by the query language and engine.
Type de document :
Communication dans un congrès
Vijay Gadepally. IEEE BigData 2016: Workshop on Methods to Manage Heterogeneous Big Data and Polystore Databases, Dec 2016, Washington D.C., United States. IEEE Computing Society, 2016, 〈https://sites.google.com/site/polystoreworkshop/home〉
Liste complète des métadonnées

Littérature citée [6 références]  Voir  Masquer  Télécharger

https://hal-lirmm.ccsd.cnrs.fr/lirmm-01415582
Contributeur : Patrick Valduriez <>
Soumis le : mardi 13 décembre 2016 - 12:11:48
Dernière modification le : jeudi 11 janvier 2018 - 17:01:50
Document(s) archivé(s) le : mardi 14 mars 2017 - 12:43:39

Fichier

CloudMdsQL-IEEE_v.0.4.1.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : lirmm-01415582, version 1

Citation

Boyan Kolev, Raquel Pau, Oleksandra Levchenko, Patrick Valduriez, Ricardo Jiménez-Peris, et al.. Benchmarking Polystores: the CloudMdsQL Experience. Vijay Gadepally. IEEE BigData 2016: Workshop on Methods to Manage Heterogeneous Big Data and Polystore Databases, Dec 2016, Washington D.C., United States. IEEE Computing Society, 2016, 〈https://sites.google.com/site/polystoreworkshop/home〉. 〈lirmm-01415582〉

Partager

Métriques

Consultations de la notice

135

Téléchargements de fichiers

166