Abstract
Relational database is a popular database for storing various types of information. But due to the ever-increasing growth of data, it becomes hard to maintain and process the database. So, the graph model is becoming more and more popular since it can store and handle big data more efficiently compared to relational database. But both relational database and graph database have their own advantages and disadvantages. To overcome their limitations, they are combined to make a hybrid model. This paper discusses relational database, graph database, their advantages, their applications and also talks about hybrid model.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Codd, E.F.: A relational model of data for large shared data banks. Commun. ACM 13(6), 377–387 (1970). https://doi.org/10.1145/362384.362685
SQL Join: https://www.dofactory.com/sql/join. Last accessed 15 July 2019
SQL Foreign Key, https://www.tutorialspoint.com/sql/sql-foreign-key. Last accessed 15 July 2019
DBMS Transaction: https://www.tutorialspoint.com/dbms/dbms_transaction. Last accessed 15 July 2019
Normalization: https://www.javatpoint.com/dbms-normalization. Last accessed 24 July 2019
Database normalization, https://en.wikipedia.org/wiki/Database_normalization. Last accessed 15 July 2019
Graph Database: https://en.wikipedia.org/wiki/Graph_database. Last accessed 15 July 2019
Graph Engine: https://www.graphengine.io/. Last accessed 15 July 2019
Knowledge Graph: https://en.wikipedia.org/wiki/Knowledge_Graph. Last accessed 15 July 2019
Introducing Graph Search Beta: https://newsroom.fb.com/news/2013/01/introducing-graph-search-beta/. Last accessed 15 July 2019
Relational Databases vs. Graph Databases: A Comparison, https://neo4j.com/developer/graph-db-vs-rdbms/. Last accessed 15 July 2019
Managing Network Operations with Graphs: https://neo4j.com/business-edge/managing-network-operations-with-graphs/. Last accessed 15 July 2019
Difference between SQL and NoSQL—GeeksforGeeks: https://www.geeksforgeeks.org/difference-between-sql-and-nosql/. Last accessed 15 July 2019
Graph Databases in Big Data Analytics: https://www.cleverism.com/graph-databases-effective-big-data-analytics/. Last accessed 15 July 2019
Silvescu, A., Caragea, D., Atramentov, A.: Graph database. artificial intelligence research laboratory, Department of Computer Science, Iowa State University [Online]. http://people.cs.ksu.edu/~dcaragea/papers/report.pdf (2012)
Pokorny, J.: Graph databases: their power and limitations. In: IFIP International Conference on Computer Information Systems and Industrial Management, pp. 58–69. Springer, Cham (2015)
Virgilio, R.D., Maccioni, A., Torlone, R.: Converting relational to graph databases. In: Proceedings of ACM First International Workshop on Graph Data Management Experience and Systems, vol. 1, pp. 1–6 (2013). http://doi.acm.org/10.1145/2484425.2484426
Bordoloi, S., Kalita, B.: Designing graph database models from existing relational databases. Int. J. Comput. Appl. 74(1), 25–31 (2013)
Shute, J., et al.: F1: a distributed SQL database that scales. Proc. VLDB Endowment 6(11), 1068–1079 (2013)
James, B.E., Asagba, P.O.: Hybrid database system for bigdata storage and management. Int. J. Comput. Sci. Eng. Appl. (IJCSEA) 7(3/4) (2017)
Little, C.J.O.: Grapht: a hybrid database system for flexible retrieval of graph-structured data. In: Master’s thesis, University of Cambridge, Emmanuel College, Cambridge, United Kingdom (2016)
Ferreira, L.: Bridging the gap between SQL and NoSQL. In: A state of art report, Universidade do Minho, pp 187–197 (2011)
Hybrid Databases: Combining relational and NoSQL. https://www.stratoscale.com/blog/dbaas/hybrid-databases-combining-relational-nosql/. Last accessed 15 July 2019
Vyawahare, H., Karde, P., Thakare, V.: A hybrid database approach using graph and relational database. In: International Conference on Research in Intelligent and Computing in Engineering (RICE) (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Gupta, S., Pal, S., Chakraborty, M. (2020). A Study on Various Database Models: Relational, Graph, and Hybrid Databases. In: Chakraborty, M., Chakrabarti, S., Balas, V. (eds) Proceedings of International Ethical Hacking Conference 2019. eHaCON 2019. Advances in Intelligent Systems and Computing, vol 1065. Springer, Singapore. https://doi.org/10.1007/978-981-15-0361-0_11
Download citation
DOI: https://doi.org/10.1007/978-981-15-0361-0_11
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-0360-3
Online ISBN: 978-981-15-0361-0
eBook Packages: EngineeringEngineering (R0)