K. A. Abouzeid, D. Bajda-pawlikowski, A. Abadi, A. Rasin, and . Silberschatz, HadoopDB, Proceedings of the Very Large Data Bases (PVLDB), pp.922-933, 2009.
DOI : 10.14778/1687627.1687731

R. Avnur and J. Hellerstein, Eddies: Continuously adaptive query processing, ACM SIGMOD Int. Conf. on Data Management, pp.261-272, 2000.

D. J. Abadi, S. Madden, and N. Hachem, Column-stores vs. row-stores, Proceedings of the 2008 ACM SIGMOD international conference on Management of data , SIGMOD '08, pp.967-980, 2008.
DOI : 10.1145/1376616.1376712

R. M. Armbrust, C. Xin, Y. Lian, D. Huai, J. Liu et al., Spark SQL, Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, SIGMOD '15, pp.1383-1394, 2015.
DOI : 10.1145/2723372.2742797

. Bbd-+-15-]-f, D. Bugiotti, A. D. Bursztyn, I. Ileana, and I. Manolescu, Invisible glue: Scalable self-tuning multistores, Int. Conf. on Innovative Data Systems Research (CIDR), p.7, 2015.

C. Bondiombouy, B. Kolev, O. Levchenko, and P. Valduriez, Integrating Big Data and Relational Data with a Functional SQL-like Query Language, Int. Conf. on Database and Expert Systems Applications (DEXA), pp.170-185, 2015.
DOI : 10.1007/978-3-319-22849-5_13

URL : https://hal.archives-ouvertes.fr/lirmm-01181242

R. Van-bruggen, Learning Neo4j, 2014.

J. F. Chang, S. Dean, W. Ghemawat, D. Hsieh, M. Wallach et al., Bigtable, ACM Transactions on Computer Systems, vol.26, issue.2, 2008.
DOI : 10.1145/1365815.1365816

]. J. Des-+-15, A. Duggan, M. Elmore, M. Stonebraker, B. Balazinska et al., The bigdawg polystore system, ACM SIGMOD Int. Conf. on Data Management, vol.44, issue.2, pp.11-16, 2015.

J. Dean and S. Ghemawat, MapReduce, Symposium on Operating Systems Design and Implementation (OSDI), pp.137-150, 2004.
DOI : 10.1145/1327452.1327492

A. Doan, A. Y. Halevy, Z. G. Ives, G. Decandia, D. Hastorun et al., Principles of Data Integration Dynamo: amazon's highly available key-value store Split query processing in polybase, ACM Symposium on Operating Systems Principles (SOSP) ACM SIGMOD Int. Conf. on Data Management, pp.205-220, 2007.

]. S. Est-+-13, S. Ewen, K. Schelter, D. Tzoumas, V. Warneke et al., Iterative parallel data processing with stratosphere: an inside look, ACM SIGMOD Int. Conf. on Data Management, pp.1053-1056, 2013.

Y. Fu, K. W. Ong, Y. Papakonstantinou, and E. Zamora, Forward, Proceedings of the Very Large Data Bases (PVLDB), pp.1649-1652, 2014.
DOI : 10.14778/2733004.2733052

URL : https://hal.archives-ouvertes.fr/in2p3-00194771

S. Ghemawat, H. Gobioff, and S. Leung, The google file system, ACM Symposium on Operating Systems Principles (SOSP), pp.29-43, 2003.

F. Hupfeld, T. Cortes, B. Kolbeck, J. Stender, E. Focht et al., The XtreemFS architecture-a case for object-based file systems in Grids, Concurrency and Computation: Practice and Experience, pp.202049-2060, 2008.
DOI : 10.1002/cpe.1304

L. Haas, D. Kossmann, E. Wimmers, and J. Yang, Optimizing queries across diverse data sources, Proceedings of the Very Large Data Bases (PVLDB), pp.276-285, 1997.

. Hst-+-13-]-h, J. Hacigümüs, J. Sankaranarayanan, J. Tatemura, N. Lefevre et al., Odyssey: A multi-store system for evolutionary analytics, Proceedings of the Very Large Data Bases (PVLDB), pp.1180-1181, 2013.

. Kbv-+-16-]-b, C. Kolev, P. Bondiombouy, R. Valduriez, R. Jimenez-peris et al., The cloudmdsql multistore system, ACM SIGMOD/PODS (Principles of Database Systems) Conf, p.4, 2016.

. Kvb-+-15-]-b, P. Kolev, C. Valduriez, R. Bondiombouy, R. Jimenez-peris et al., Cloudmdsql: Querying heterogeneous cloud data stores with a common language, p.41, 2015.

M. Lenzerini, Data integration, Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems , PODS '02, pp.233-246, 2002.
DOI : 10.1145/543613.543644

]. J. Lsh-+-14, J. Lefevre, H. Sankaranarayanan, J. Hacigümüs, N. Tatemura et al., MISO: souping up big data query processing with a multistore system, ACM SIGMOD Int. Conf. on Data Management, pp.1591-1602, 2014.

A. Nayak, A. Poriya, and D. Poojary, Type of nosql databases and its comparison with relational databases, Int. Journal of Applied Information Systems, vol.5, issue.4, pp.16-19, 2013.

K. W. Ong, Y. Papakonstantinou, and R. Vernoux, The SQL++ semi-structured data model and query language: A capabilities survey of sql-on-hadoop, nosql and newsql databases, ACM Computing Research Repository, 2014.

M. T. Özsu and P. Valduriez, Principles of Distributed Database Systems, Third Edition, PAD12] E. Pacitti, R. Akbarinia, and M. El Dick. P2P Techniques for Decentralized Applications. Synthesis Lectures on Data Management, 2011.

E. Plugge, T. Hawkins, and P. Membrey, The Definitive Guide to MongoDB:The NoSQL Database for Cloud and Desktop Computing, Apress, 2010.

R. Ramakrishnan, Data management in the cloud Mapreduce and parallel dbmss: friends or foes?, In IEEE Int. Conf. on Data Engineering Communications of the ACM, vol.5, issue.531, pp.64-71, 2009.

M. Stonebraker, P. Kreps, W. Wong, and G. Held, The design and implementation of INGRES, ACM Transactions on Database Systems, vol.1, issue.3, pp.198-222, 1976.
DOI : 10.1145/320473.320476

M. Stonebraker, Operating system support for database management, Communications of the ACM, vol.24, issue.7, pp.412-418, 1981.
DOI : 10.1145/358699.358703

A. Simitsis, K. Wilkinson, M. Castellanos, and U. Dayal, QoX-driven ETL design, Proceedings of the 35th SIGMOD international conference on Management of data, SIGMOD '09, pp.953-960, 2009.
DOI : 10.1145/1559845.1559954

A. Simitsis, K. Wilkinson, M. Castellanos, and U. Dayal, Optimizing analytic data flows for multiple execution engines, Proceedings of the 2012 international conference on Management of Data, SIGMOD '12, pp.829-840, 2012.
DOI : 10.1145/2213836.2213963

A. Tomasic, L. Raschid, and P. Valduriez, Scaling access to heterogeneous data sources with DISCO, IEEE Transactions on Knowledge and Data Engineering, vol.10, issue.5, pp.808-823, 1998.
DOI : 10.1109/69.729736

]. V. Gankidi, N. Teletia, J. Patel, A. Halverson, and D. Dewitt, Indexing HDFS data in PDW, Proceedings of the Very Large Data Bases (PVLDB), pp.1520-1528, 2014.
DOI : 10.14778/2733004.2733023

]. S. Wbm-+-06, S. Weil, E. Brandt, D. Miller, C. Long et al., Ceph: A scalable, high-performance distributed file system, Symposium on Operating Systems Design and Implementation (OSDI), pp.307-320, 2006.

T. White, T. Yuanyuan, T. Zou, F. Özcan, R. Gonscalves et al., Hadoop -The Definitive Guide: Storage and Analysis at Internet Scale Joins for hybrid warehouses: Exploiting massive parallelism and enterprise data warehouses, 2012. [YZÖ + 15] Int. Conf. on Extending Database Technology (EDBT), pp.373-384, 2015.

S. Franklin, I. Shenker, and . Stoica, Spark: Cluster computing with working sets, USENIX Workshop on Hot Topics in Cloud Computing (HotCloud), pp.10-10, 2010.

M. Zhu and T. Risch, Querying combined cloud-based and relational databases, 2011 International Conference on Cloud and Service Computing, pp.330-335, 2011.
DOI : 10.1109/CSC.2011.6138543

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.365.65