Difference Between MongoDB vs Oracle
MongoDB is a cross-platform, free, open-source document and oriented NoSQL database which is written in C++. MongoDB is very much useful for high volume data storage which provides high performance, high availability, and also automatic scaling. Oracle is an RDBMS (i.e., Relational Database Management System) and hence it is commonly referred to as Oracle RDBMS. Oracle Database is a multi-model database management system and it is highly used in enterprise applications.
MongoDB
- MongoDB is designed and developed by MongoDB Inc (it is an American Software Company). and it is published with combination and coordination of the GNU Affero General Public License and the Apache License. MongoDB is released in the year February 2009 and the latest stable release was on June 2018.
- Typically, a single MongoDB server has multiple databases in it. MongoDB document does not support the SQL and it supports high, rich and ad-hoc query language. A MongoDB database stores the data in an area which is known as collections and not in tables. Those are the rough which is equivalent to RDBMS tables.
- A MongoDB is written in C++, C, and JavaScript programming language. MongoDB conveniently operates in the following Operating systems: Windows Vista and later, Linux, OS X 10.7 and later, Solaris, and FreeBSD.
Oracle
- After introducing the Oracle Database in the market, it extended the relational model to the object-relational model. So that it made it possible to store very complex business models in a relational database.
- Oracle has a very interesting evolution of history. Oracle database is developed by 3 friend’s team – Larry Ellison, Bob Miner and Ed Oates which is led by Larry Ellison (in a company Software Development Laboratories (SDL) in the year 1977. Oracle database is one of the widely-used and trusted relational database engines.
- An Oracle database is written in Assembly language, C, and C++ programming language. Oracle database operates on all major platforms, including Windows, UNIX, Linux, and Mac OS. Oracle database is commonly used for running online transaction processing (OLTP), data warehousing (DW) applications and mixed (OLTP & DW) database workloads.
Head To Head Comparison Between MongoDB vs Oracle (Infographics)
Below is the top 6 difference between MongoDB vs Oracle
Key differences between MongoDB vs Oracle
Both Oracle vs MongoDB are popular choices in the market; let us discuss some of the major Difference Between MongoDB vs Oracle:
- MongoDB is one of the most famous documents-oriented databases whereas Oracle Database is a multi-model database management system and it is highly used RDBMS to build enterprise applications.
- In MongoDB, data is stored in a collection in the form of document and Field. But in Oracle database, data is stored in the traditional way of RDBM i.e., in the form of tables in the form of rows and columns.
- Mongo database offers some API for user-defined Map/Reduce methods, whereas MapReduce is not supported in Oracle database.
- The Partitioning methods (i.e., Methods for storing different data on different nodes) is Sharding in MongoDB whereas it is horizontal partitioning in case of Oracle database.
- In Oracle database, optional Oracle Partitioning is also available.
- SQL is not supported in MongoDB, but SQL is supported in Oracle DB.
- MongoDB is a free and Open source whereas Oracle database is Commercial (and restricted free version is available in the market).
- The Implementation language for MongoDB is written in C++, C, and JavaScript programming language. And the same for Oracle database is Assembly language, C, and C++ programming language.
- The Server-side scripting for MongoDB can be achieved by using JavaScript programming language. And the same can be achieved for Oracle database by using PL/SQL programming language.
- In MongoDB, it uses only one Secondary database models is Key-value store whereas, In Oracle DB, it uses four Secondary database models including Key-value store and rest of three are Document store, Graph DBMS info, and RDF store info.
MongoDB vs Oracle Comparison Table
The primary Comparison between MongoDB vs Oracle are discussed below:
| The basis of comparison Between MongoDB vs Oracle |
MongoDB |
Oracle |
| About & Description | MongoDB is one of the most famous stores of documents. | Oracle Database is multi-model database management system and it is highly used RDBMS to build enterprise applications. |
| Secondary database models | In MongoDB, it uses Secondary database models is Key-value store:
From an API perspective, Key-value stores are the very easiest NoSQL data stores to use and these are the simplest form of DBMS. Key-value stores are always will have a very high performance and can be easily scaled; this is because it always uses primary-key access. |
In Oracle DB, it uses Secondary database models are Document store, Graph DBMS info, Key-value store, and RDF store info.
Document store: Document stores are characterized by its schema-free organization of data. Records in it need not have a uniform structure and those records can also have nested structure. Graph DBMS: It is also known as graph-oriented DBMS. In this type, data can be represented in graphical structures as nodes and edges. RDF store: The RDF (Resource Description Framework) is a methodology to describe the information, and it is exclusively developed to describe the metadata of IT resources. |
| Implementation language | A MongoDB is written in C++, C, and JavaScript programming language. | An Oracle database is written in Assembly language, C, and C++ programming language |
| Server-side scripts | In MongoDB, JavaScript is the programming language used in Server-side scripting. | In Oracle DB, PL/SQL is the programming language used in Server-side scripting.
Also uses java in developing Stored procedures. |
| Server operating systems | MongoDB can be operated in the following Operating systems: Windows Vista and later, Linux, OS X 10.7 and later, Solaris, and FreeBSD. | MongoDB can be operated on all major platforms / operating systems including Windows, UNIX, Linux, and Mac OS. |
| Specific characteristics | MongoDB is considered as the next-generation database which helps in businesses transform their industries by taking a control over the power of data. | Oracle database is a multi-model and world’s most popular database.
It is commonly used for running online transaction processing (OLTP), data warehousing (DW) applications and mixed (OLTP & DW) database workloads. |
Conclusion – MongoDB vs Oracle
In the race, Mango DB stands in the first position compared to Oracle DB because MongoDB is much easier to handle during the migrations because it is schemaless in nature.
All size of organizations can adopt MongoDB because it enables the developer to develop applications much faster, it handles highly diverse data types, and also it manages those applications more efficiently. The Oracle Database will not be suitable for all kind of organization. It is very suitable for large-scale enterprise level applications. I hope now you must have got a fairer idea of both MongoDB vs Oracle. Stay tuned to our blog for more articles like these.
Recommended Article
This has a been a guide to the top differences between MongoDB vs Oracle. Here we also discuss the MongoDB vs Oracle key differences with infographics, and comparison table. You may also have a look at the following Oracle vs MongoDB articles to learn more –
