MongoDB vs Oracle -- Database Comparison

Boicea, Alexandru; Rădulescu, Florin; Agapin, Laura Ioana

doi:10.1109/eidwt.2012.32

Cited by 125 publications

(56 citation statements)

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“…[6] [7]. Some works compare performance, scalability and other properties between relational and NoSQL systems [8] [9] [10]. Others such as [11] [12] introduce schema management on top of schema-less document systems.…”

Section: Related Workmentioning

confidence: 99%

Data schema does matter, even in NoSQL systems!

Gómez

Casallas

Roncancio

2016

2016 IEEE Tenth International Conference on Research Challenges in Information Science (RCIS)

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Abstract-A Schema-less NoSQL system refers to solutions where users do not declare a database schema and, in fact, its management is moved to the application code. This paper presents a study that allows us to evaluate, to some extent, the data structuring impact. The decision of how to structure data in semi-structured databases has an enormous impact on data size, query performance and readability of the code, which influences software debugging and maintainability. This paper presents an experiment performed using MongoDB along with several alternatives of data structuring and a set of queries having increasing complexity. This paper introduces an analysis regarding the findings of such an experiment.

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Section: Related Workmentioning

confidence: 99%

Data schema does matter, even in NoSQL systems!

Gómez

Casallas

Roncancio

2016

2016 IEEE Tenth International Conference on Research Challenges in Information Science (RCIS)

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“…If you want a simple database that will respond very fast, this is the choice you should make [3]. To achieve scalability and mush higher performance, MongoDB gave up ACID(Atomicity, Consistency, Isolation, Durability) transaction, having a weaker concurrency model implemented known as BASE (Basically Available, Soft state, Eventual consistency).…”

Section: Discussionmentioning

confidence: 99%

CRUD Operations in MongoDB

Truică¹,

Boicea²,

Trifan³

2013

Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information

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-In this paper we will examine the key features of the database management system MongoDB. We will focus on the basic operations of CRUD and indexes. For our example we will create two databases one using MySQL and one in MongoDB. We will also compare the way that data will be created, selected, inserted and deleted in both databases. For the index part we will talk about the different types used in MongoDB comparing them with the indexes used in a relational database.

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“…[7] Utilizing NoSQL forces some engineering imperatives that are depending of what one is doing with the information. It is uncommon for a whole existing SQL-driven application to be moved in its integrality over to NoSQL still some algorithms like the mentioned above can be used to translate a database in SQL to MongoDB.…”

Section: Main Differencementioning

confidence: 99%

MongoDB and NoSQL Databases

Jain¹,

Upadhyay²

2017

IJCA

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With the information becoming drastically and the structure of information turning out to be progressively adaptable, MongoDB has supplanted the relational database in numerous applications. In many applications it has outperformed the traditional SQL databases, and hence in this paper there would be modeling about the changes from SQL no NoSQL database also bringing out it's advantages and disadvantages.

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MongoDB vs Oracle -- Database Comparison

Cited by 125 publications

References 0 publications

Data schema does matter, even in NoSQL systems!

Data schema does matter, even in NoSQL systems!

CRUD Operations in MongoDB

MongoDB and NoSQL Databases

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