MongoDB vs. Oracle: A Never-Ending Battle of The Best Database Management Systems

By Ravish kumar - January 17, 2018

MongoDB vs. Oracle: A Never-Ending Battle of The Best Database Management Systems

Oracle is probably the best-known database management system in the world. In the 1970's Oracle came up with the idea of commercializing relational databases. The corporation and its take on RDBMS technology have come a long way since then. There was a time when the mention of RDBMS became synonymous with Oracle. In the next few decades, competitors and alternatives like MongoDB came along to steal some of the spotlights from the RDBMS guru.

MongoDB is a non-relational database technology that leverages the modern, unstructured big data explosion to meet the needs of new applications. Therefore, MongoDB is a breath of fresh air in an RDBMS world ruled by corporate giants like Oracle. MongoDB is a NoSQL database. This new system stores all related data in JSON-like documents. It is an open source data management system that can have the various structure of documents, and it has its own query language.

What are the features that distinguish the two?

Unlike Oracle, MongoDB has dynamic schemas. You can start with your database without defining the particular structures. You can begin without specifying the fields and their values. You can edit the documents (or the record structure) by merely adding new fields and removing old ones. That allows all users to exploit the dynamic schema and create complex hierarchies within the database seamlessly. Interestingly, MongoDB has not made it compulsory for all the documents in a collection to have equal values or identical sets of fields. Denormalization of data on a MongoDB is common. It makes it great for auto-sharding and easy scaling.

MongoDB comes with a highly functional set of secondary indexes and a robust framework for the analysis of data. Unlike Mongo, Oracle does not have a rich data model, field updates or dynamic schemas. It surely keeps Mongo way ahead of Oracle on the preference list of programmers and DBAs on Both of these database management systems have a rich query language. The query language of MongoDB is highly detailed, but it is much easier for programmers to master this DBMS within a short span of time.

A high number of organizations is adopting Mongo over Oracle every day. There might be quite a few reasons behind this decision –

  • MongoDB offers instant scale-up and scale-down options.
  • Mongo is more flexible than Oracle, and it offers faster application building.
  • It can also handle various forms and kinds of data, without too many manipulations.
  • Mongo helps to manage all kinds of business applications at any scale.

MongoDB is making the development of databases much easier for all organizations thanks to its high throughput and simplicity. It can remove the ORM or object-relational mapping, which results in translation of the objects in code to the cells in the relational tables.

Features and cost

Mongo offers better features and better scalability at a fraction of the price other popular relational and non-relational databases charge right now. Most companies go through an elaborate cost evaluation process while selecting their DBMS. Oracle does provide a more or less complete solution to most enterprises, but Oracle is obviously costlier than MongoDB. A recent study shows that many organizations, both small and medium, had saved over 70% in DB-related costs when they made the switch from Oracle to MongoDB.

In addition to the cost factor, MongoDB provides better data management and distribution options. Most of these companies are enjoying better levels of availability and scalability, earlier never experienced with relational DBs. Mongo also represents no downtime, cheaper security and regular hardware requirements that do not contribute to an increase in recurring maintenance cost of the company database.

Almost all the state-of-the-art applications require flexible and scalable databases like MongoDB, but certain apps prefer the use of traditional compact relational databases like Oracle. It includes a plethora of sites and applications that run on complicated logistics, multiple simultaneous transactions and booking systems. For example – Oracle is undoubtedly a better and smarter choice for a live ticket booking system or a reservation system for hotels. These involve complex logic, and they need to handle multiple transactions at the same time.

There is another genre of applications that use Oracle as their backbone framework, and they use MongoDB to manage the parts of the app that engage with the users. MongoDB is a better choice for the parts of these applications that deliver content, integrate and share content with social networking sites and managing the sections.

MongoDB and Oracle each have their unique uses in today's digital world. In some places remote DBAs and data experts prefer MongoDB; in the other areas, they might prefer Oracle. These decisions come from the unique qualities that define each of these database management systems. 

Author Bio: Alexande Fernandise is a database expert. He has been working as a data engineer in some of the best-known data management firms in the USA. can help you make the right choice when it comes to the choice between relational and non-relational databases for your valuable company data.

  • Share:

You Might Also Like


Note: only a member of this blog may post a comment.