Benchmarking Polystores: the CloudMdsQL Experience

Boyan Kolev; Raquel Pau; Oleksandra Levchenko; Patrick Valduriez; Ricardo Jiménez-Peris; José Pereira

doi:10.1109/BigData.2016.7840899

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Benchmarking Polystores: the CloudMdsQL Experience

Acte de colloque

Open Access

Benchmarking Polystores: the CloudMdsQL Experience

Boyan Kolev, Raquel Pau, Oleksandra Levchenko, Patrick Valduriez, Ricardo Jiménez-Peris et José Pereira

Workshop on Methods to Manage Heterogeneous Big Data and Polystore Databases @BigData 2016, pp.2574-2579

Workshop on Methods to Manage Heterogeneous Big Data and Polystore Databases @BigData 2016 (Washington, DC, United States, 05/12/2016–08/12/2016)

2016

DOI: https://doi.org/10.1109/BigData.2016.7840899

Résumé

Heterogeneous data

Polystore

Cloud

Benchmark

H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.5: Heterogeneous Databases

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.

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Détails

Titre: Benchmarking Polystores: the CloudMdsQL Experience
Créateurs - sans rôle: Boyan Kolev - Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier
Raquel Pau - Quside Technologies (Spain)
Oleksandra Levchenko - Institut national de recherche en sciences et technologies du numérique
Patrick Valduriez - Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier
Ricardo Jiménez-Peris - LeanXcale [Madrid]
José Pereira - INESC TEC
Contributeurs - sans rôle: Vijay Gadepally
Détails de publication: Workshop on Methods to Manage Heterogeneous Big Data and Polystore Databases @BigData 2016, pp.2574-2579
Colloque: Workshop on Methods to Manage Heterogeneous Big Data and Polystore Databases @BigData 2016 (Washington, DC, United States, 05/12/2016–08/12/2016)
Identifiants: 99153360409311
Unité académique: Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier - LIRMM
Langue: English
Type de ressource: Conference proceeding
Champs locaux: lirmm-01415582