Predictive Performance Comparison Analysis of Relational & NoSQL Graph Databases
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 5
Abstract
From last three decades, the relational databases are being used in many organizations of various natures such as Education, Health, Business and in many other applications. Traditional databases show tremendous performance and are designed to handle structured data with ACID (Atomicity, Consistency, Isolation, Durability) property to manage data integrity. In the current era, organizations are storing more data i.e. videos, images, blogs, etc. besides structured data for decision making. Similarly, social media and scientific applications are generating large amount of semi-structured data of varied nature. Relational databases cannot process properly and manage such large amount of data efficiently. To overcome this problem, another paradigm NoSQL databases is introduced to manage and process massive amount of unstructured data efficiently. NoSQL databases are divided into four categories and each category is used according to the nature and need of the specific problem. In this paper we will compare Oracle relational database and NoSQL graph database using optimized queries and physical database tuning techniques. The comparison is two folded: in the first iteration we compare various kinds of queries such as simpler query, database tuning of Oracle relational database such as sub databases and perform these queries in our desired environments. Secondly, for this comparison we will perform predictive analysis for the results obtained from our experiments.
Authors and Affiliations
Wisal Khan, Ejaz ahmed, Waseem Shahzad
Keywords
Related Articles
- EP ID EP259144
- DOI 10.14569/IJACSA.2017.080564
- Views 101
- Downloads 0
Review of Prediction of Disease Trends using Big Data Analytics
Big Data technologies promise to have a transformative impact in healthcare, public health, and medical research, among other application areas. Several intelligent machine learning techniques were designed and used to p...
Performance Evaluation of Support Vector Regression Models for Survival Analysis: A Simulation Study
Desirable features of support vector regression (SVR) models have led to researchers extending them to survival problems. In current paper we evaluate and compare performance of different SVR models and the Cox model usi...
Performance Comparison of SVM and K-NN for Oriya Character Recognition
Image classification is one of the most important branch of Artificial intelligence; its application seems to be in a promising direction in the development of character recognition in Optical Character Recog...
Reconfigurable Efficient Design of Viterbi Decoder for Wireless Communication Systems
Viterbi Decoders are employed in digital wireless communication systems to decode the convolution codes which are the forward correction codes. These decoders are quite complex and dissipate large amount of power. With t...
Securing Informative Fuzzy Association Rules using Bayesian Network
In business association rules being considered as important assets, play a vital role in its productivity and growth. Different business partnership share association rules in order to explore the capabilities to make ef...