Comparing MongoDB with MySQL – Choose the Best One

Comparing MongoDB with MySQL – Choose the Best One

As we can see, the conventional relational databases were dominating the database management sector for many decades now. The choice was only MySQL, MS SQL, or Oracle to name the few among the top. These DB platforms now serve as the base of a huge number of enterprise applications of various domains. However, as the technology grows, the modern-day organizations demand more scalability and diversity, which most of these legacy database platforms lack. This further paved way to the evolvement of the non-relational databases as MongoDB etc., which are capable of meeting these advanced requirements by replacing the relational database environment.

In this article, we are trying to understand more in details about the conventional MySQL and the latest NoSQL database as MongoDB for the modern-day administrators to choose the best for your purpose.

  1. MySQL database

MySQL is there in the database management sector for long, which is primarily a fully featured relational database management system (RDBMS). It exists for a couple of decades now and acts as the solid database of many corporate applications. Originally made by MySQL AB, Oracle now owns this technology.

MySQL help store data in many tables of rows and columns, which are structured into a database. The users need to use SQL (Structured Query Language) in order to access or manipulate the data. There are various commands for the SQL queries as ‘INSERT,’ ‘UPDATE,’ ‘SELECT,’ ‘DELETE’ etc. to manage the dataset. The world relational in RDBMS imply that related information can be effectively stored in MySQL at different tables, which you can easily correlate and perform multiple queries over different tables to nullify the chances of any data duplication.

Compatibility

Existing stably for so long now, MySQL is found to be compatible with almost all existing operating systems now like Linux, Windows, Unix, Mac OS, FreeBSD among the other major ones. MySQL is also supportive of different storage engines as the default one of InnoDB, MyISAM, Federated, Memory, Blackhole, Archive, CSV, and Merge, etc.

  1. MongoDB

As we have seen above; MongoDB is now a largely popular database management system, which is also open-source. This database suite was first developed by the 10gen, which was later renamed as MongoDB Inc. The documents in this database system are created, managed, and stored in the BSON files in the Binary JSON format. So, all data of the JS types can be supported in it.

With this, applications with MongoDB are applied for the projects with Node.js. Along with this fact, JSON may also enable data transfer between the web applications in a human-readable form. This is also an ideal thing from the analytical point of view. It also offers more speed and storage capacity, which ensures greater reliability and efficiency in performance.

On top of the above benefits of MongoDB, usage of dynamic schemas also will help eliminate the need for any pre-defined structure like specifying the values of the fields in the DB tables. This fluidic model will let to have a better hierarchical relationship and array storage with the ability to customize or change the database record structure anytime by adding more fields or removing them. As RemoteDBA.com point out, the NoSQL solution also comes with auto-sharding, embedding, and with onboard replication that ensures high availability and better scalability.

A side-by-side comparison of MySQL and MongoDB

 

MySQL

MongoDB

Language

C and C++

C++, C, JavaScript

Type

Relational DBMS

Document-oriented DB

Major components

Table, Rows, and Columns

The collection, Document, and Fields

License

GPL v2

Commercial licenses are also available

GNU AGPV v3.0

Commercial licenses also available

Schemas

Strict structure

Dynamic structure

Scalability

Vertical

Horizontal

Major Features

–        Full-text indexing and search

–        Triggers

–        Integrated support for replications

–        SSL Support

–        SubSELECTs

–        Unicode Support

–        Difference storage engines

–        Various performance characteristics

–        Auto-Sharding

–        In-memory speed

–        Native replication

–        Comprehensive secondary indexes

–        Embedded data model support

–        Rich query language support

–        Various storage engines support

 

Used for

–        Data structure fits for tables and rows

–        A strong dependence of multi-row transactions

–        Frequent updates and modifications of large volume records

–        Relatively small datasets

–        High write loads

–        Unstable schema

–        Your DB is set to grow big

–        Data is location-based

–        HA (high availability) in an unstable environment

–        No DBAs

Users

NASA, Sony, Bank of Finland, US Navy, Walmart, UCR, Telenor, Italtel, S2 Security Corporation, Uber, Zappos, iStock, Twitter, Facebook, Booking.com

 

Bosch, Expedia, eBay, Otto, Foursquare, Adobe, Gap, Forbes, Metlife, Intuit, CitiGroup, BuzzFeed, Crittercism, the City of Chicago

 

The pros and cons of MySQL and MongoDB

 

Next on considering the performance of MongoDB and MySQL; even though it is a bit difficult to delineate it at a macro level as both systems are useful in effective database administration from two different points of view. However, as MySQL vs. MongoDB is a hot topic of argument among the DBAs, and both being open source offering a significant cost advantage, let’s further explore a few pros and cons to consider deciding between these.

My SQL

Pros:

  • JOIN support
  • Atomic-level transaction support
  • Privilege and password-based security
  • Mature solutions

Cons:

  • Touch scalability
  • Concerns with stability
  • Not a community-driven model in development

Mongo DB

Pros:

  • Integrated storage engines
  • Document validation
  • The shortened time between the primary failure and recovery

Cons:

  • Not ideal for applications with complex transactions
  • Not an instant replacement for the legacy database solutions
  • Young and not much grown

Choosing a database

As a fresh and innovative approach to database management, MongoDB now attracts many users with its simple and open approach. It also has very helpful and collaborative community support. However, even though it exists there for long, the users have an adverse report regarding recent MySQL approach after Oracle acquired it. Comparing the speed of MongoDB with MySQL, developers also experience a compromised speed with MySQL when the requirement of real-time data management is concerned and also with the need to handle large volume data.

So, when considering a database for your project, it I essential to take your project requirements and long-term goals into account to ensure a flexible, high performance, flexibility, and secured data management system for your business.

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