A comparison of a graph database and a relational database: a data provenance perspective
@inproceedings{Vicknair2010ACO, title={A comparison of a graph database and a relational database: a data provenance perspective}, author={Chad Vicknair and Michael Macias and Zhendong Zhao and Xiaofei Nan and Yixin Chen and D. Wilkins}, booktitle={ACM SE '10}, year={2010} }
Relational databases have been around for many decades and are the database technology of choice for most traditional data-intensive storage and retrieval applications. Retrievals are usually accomplished using SQL, a declarative query language. Relational database systems are generally efficient unless the data contains many relationships requiring joins of large tables. Recently there has been much interest in data stores that do not use SQL exclusively, the so-called NoSQL movement. Examples… CONTINUE READING
363 Citations
Graph Schema Storage in SQL Object-Relational Database and NoSQL Document-Oriented Database: A Comparative Study
- Computer Science
- 2019
Efficient Multi-depth Querying on Provenance of Relational Queries Using Graph Database
- Computer Science
- COMPUTE
- 2016
- 2
SQL Database with physical database tuning technique and NoSQL graph database comparisons
- Computer Science
- 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)
- 2019
- 1
Managing unstructured data in relational databases
- Computer Science
- 2013 IEEE Conference on Systems, Process & Control (ICSPC)
- 2013
- 12
A New Algorithm for Storing and Migrating Data Modelled by Graphs
- Computer Science
- Int. J. Online Biomed. Eng.
- 2020
- Highly Influenced
- PDF
A Hybrid Database Approach Using Graph and Relational Database
- Computer Science, Biology
- 2018 International Conference on Research in Intelligent and Computing in Engineering (RICE)
- 2018
- 5
Querying a graph database - language selection and performance considerations
- Computer Science
- J. Comput. Syst. Sci.
- 2016
- 20