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An Overview of Graph Databases

Published on February 2013 by Darshana Shimpi, Sangita Chaudhari
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International Conference on Recent Trends in Information Technology and Computer Science 2012
Foundation of Computer Science USA
ICRTITCS2012 - Number 3
February 2013
Authors: Darshana Shimpi, Sangita Chaudhari
54a40713-51a0-4ee7-a6c6-6e5fe510754f

Darshana Shimpi, Sangita Chaudhari . An Overview of Graph Databases. International Conference on Recent Trends in Information Technology and Computer Science 2012. ICRTITCS2012, 3 (February 2013), 16-22.

@article{
author = { Darshana Shimpi, Sangita Chaudhari },
title = { An Overview of Graph Databases },
journal = { International Conference on Recent Trends in Information Technology and Computer Science 2012 },
issue_date = { February 2013 },
volume = { ICRTITCS2012 },
number = { 3 },
month = { February },
year = { 2013 },
issn = 0975-8887,
pages = { 16-22 },
numpages = 7,
url = { /proceedings/icrtitcs2012/number3/10262-1351/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Recent Trends in Information Technology and Computer Science 2012
%A Darshana Shimpi
%A Sangita Chaudhari
%T An Overview of Graph Databases
%J International Conference on Recent Trends in Information Technology and Computer Science 2012
%@ 0975-8887
%V ICRTITCS2012
%N 3
%P 16-22
%D 2013
%I International Journal of Computer Applications
Abstract

Graph databases are used for social networking and website link structure as graphs are used for storing connections among users. For example, social networking sites like Facebook, LinkedIn, and Twitter etc. It has more complicated networks of relationships, so to represent these databases using relational model is not efficient because of large number of table joining. Several well known graph databases are available such as Neo4j, flockdb, allegrograph, sones, trinity, hypergraphdb, infinitegraph, infogrid, orientdb, DEX. In this paper, we have presented comparison of current graph databases and it has been observed that Neo4j is the best in all current current graph databases.

References
  1. "NoSQL Databases,"http://nosql-database. org/
  2. http://neo4j. org/learn/
  3. "Allegrograph,"http://www. franz. com/agraph/allegrograph.
  4. N. Mart´?nez-Bazan, V. Munt´es-Mulero, S. G´omez-Villamor, J. Nin, M. -A. S´anchez-Mart´?nez, and J. -L. Larriba-Pey, "DEX: High-Performance Exploration on Large Graphs for Information Retrieval," in Proceedingsof the 16th Conference on Information and Knowledge Management (CIKM). ACM, 2007, pp. 573–582. .
  5. "vertexdb,"http://www. dekorte. com/projects/opensource/vertexdb/
  6. "Infinitegraph",http://www. infinitegraph. com/.
  7. B. Iordanov, "Hypergraphdb: a generalized graph database," in Proceedings of the 2010 international conference on Web-age information management (WAIM). Springer-Verlag, 2010, pp. 25–36.
  8. "Sones graph db," http://www. sones. com/
  9. "Infogrid," http://www. infogrid. com/
  10. "Neo4j,"http://www. neo4j. org/
  11. http://engineering. twitter. com/2010/05/introducing-flockdb. html
  12. "Trinity",http://research. microsoft. com/en-us/projects/trinity/
  13. "Orientdb,"http://www. orienttechnologies. com/
  14. "G-store,"http"//g-store. sourceforge. net/
  15. "Cloudgraph,"http://www. cloudgraph. com/
  16. http://www. systap. com/bigdata. htm
  17. http://www. bigdata. com/whitepapers/bigdata_whitepaper_10-13-2009_public. pdf
  18. http://www. dbta. com/Articles/Columns/Notes-on-NoSQL/Graph-Databases-and-the-Value-They-Provide-74544. aspx
  19. http://engineering. twitter. com/2010/05/introducing-flockdb. html
Index Terms

Computer Science
Information Sciences

Keywords

Social Networking Web Link Structure Nosql