Mongodb vs Mysql: Which one is better?

Product MySQL MongoDB
Description MySQL is a fast, reliable, and flexible open source relational database management system. It has been widely adopted by major organizations such as Facebook, Twitter, and YouTube. MySQL is known for its ease of use and reliability. MongoDB is the leading modern, general purpose database platform, designed to unleash the power of software and data for developers and the applications they build. Headquartered in New York, MongoDB has more than 18,400 customers in over 100 countries. The MongoDB database platform has been downloaded over 110 million times and there have been more than one million MongoDB University registrations.
Gitnux Rating Great product Great product
Pricing Model Tiered-Pricing Tiered-Pricing
Pricing Rates MySQL Standard Edition
MySQL Enterprise Edition
MySQL Cluster CGE
Enterprised Advanced
Could be better Can be outdated and overwhelming
Cannot handle very big databases
Can be slow
The initial setup can be better
Working with complex data is a difficult
Document size and nesting is limited
Key features Queries, Backup, Relational Interface, Database Locking, Data Migration, Data Replication, Data Manipulation Backup and Recovery, Database Conversion, Encryption, Built – In Search
Support Email/Help Desk
Knowledge Base
Phone Support
24/7 (Live Rep)
Email/Help Desk
Knowledge Base
Phone Support
24/7 (Live Rep)
Extended Review Read Review
Best for Suitable for customers in Technology, E-commerce, Telco, Government & social networks Suitable for both startups and industry-leading organizations

What is Mongodb and who is it for?

MongoDB is a cross-platform document-oriented database program. Classified as a NoSQL database program, MongoDB uses JSON-like documents with optional schemas. It is designed to scale and work with large amounts of data in an efficient manner.


MongoDB is a document-oriented NoSQL database that offers high performance, scalability, and flexibility. It provides the following features:

1. Document Storage – MongoDB stores data in documents using BSON (Binary JSON) format which makes it easier to store complex structures of data with dynamic schemas.
2. Indexing – MongoDB supports indexing on any field within a document as well as secondary indexes for faster access to data sets.
3. Aggregation Framework – The aggregation framework allows developers to perform operations like summing up values from multiple documents or grouping them together based on certain criteria for analysis purposes quickly and easily without having to write code manually each time they need such an operation performed..
4. Replication & High Availability – MongoDB can replicate itself across multiple servers providing redundancy and failover support if one server fails so there’s no single point of failure when running your application in production mode ensuring maximum uptime availability at all times even during peak loads or maintenance windows..
5 . Security – With its built-in authentication mechanisms you can ensure only authorized users have access to your databases while also encrypting connections between clients and the server

MongoDB is a document-oriented database designed for scalability, high performance and availability. It is used by businesses of all sizes to store data in an efficient manner that can be easily accessed and updated. MongoDB is suitable for applications such as content management systems, mobile apps, real-time analytics platforms, ecommerce sites and more.

What is Mysql and who is it for?

MySQL is a popular open source relational database management system (RDBMS) that uses Structured Query Language (SQL). It is used to store, organize and retrieve data in databases. MySQL can be used for a wide variety of applications, but it’s most commonly used for web-based applications like content management systems and ecommerce websites.


MySQL is an open-source relational database management system (RDBMS). It has a wide range of features, including:
•Data Storage and Management: MySQL supports data storage in multiple formats such as tables, views, stored procedures, triggers and more. It also provides powerful tools for managing databases with support for transactions, replication and backup/restore operations.
•Security Features: MySQL offers advanced security features to protect your data from unauthorized access or malicious attacks. These include user authentication mechanisms like password hashing algorithms and SSL encryption protocols.
•Scalability & High Availability Options: With its built-in clustering capabilities, MySQL can easily scale up to handle massive amounts of concurrent users without compromising performance or reliability. Additionally it comes with high availability options like master/slave replication that ensure the highest levels of uptime even during peak traffic periods.
• SQL Support & Optimization Tools : The software includes comprehensive support for Structured Query Language (SQL) which makes it easy to write complex queries quickly while optimizing them automatically behind the scenes using query optimizers . This helps you get maximum performance out of your application’s queries without having to worry about writing optimized code yourself

MySQL is a relational database management system (RDBMS) for storing and retrieving data. It is most commonly used by web developers, software engineers, database administrators, and other IT professionals who need to store or access large amounts of information quickly.

What are the benefits & downsides of Mongodb and what say users about it?

Benefits of MongoDB include scalability, flexibility, and performance. It is an open source database which makes it easy to use and customize for any application. Additionally, its document-oriented structure allows data to be stored in a more flexible way than traditional relational databases.

The downsides of MongoDB are that there can be issues with security due to the lack of built-in authentication or authorization features; as well as limited support for complex queries compared to other SQL databases such as MySQL or PostgreSQL. Furthermore, since MongoDB stores documents rather than tables like most relational databases do, this may lead some developers unfamiliar with NoSQL concepts feeling uncomfortable when working with the technology.

Users generally have positive things to say about MongoDB. Many users appreciate the ease of use and scalability that it offers, as well as its flexibility in terms of data modeling. Additionally, many users find that MongoDB is a great choice for applications with large amounts of unstructured data due to its document-oriented storage capabilities.

What are the benefits & downsides of Mysql and what say users about it?

Benefits of MySQL include its low cost, high performance, scalability and flexibility. It is also easy to use and maintain due to its simple query language (SQL). Additionally, it supports a wide range of programming languages such as PHP, Python and Java. Finally, MySQL offers strong security features that protect data from malicious attacks or unauthorized access.

Downsides of using MySQL include the lack of support for some advanced database features like stored procedures or triggers which can be found in other databases such as Oracle or Microsoft SQL Server. Furthermore, there are limited options when it comes to tuning the server’s configuration parameters without having expert knowledge on how they work together with each other. Finally, since most web hosting companies provide only basic support for this type of software you may have difficulty getting help if something goes wrong with your installation/configuration process

Users generally have positive reviews for MySQL. They praise its reliability, scalability and performance, as well as the fact that it is open source and free to use. Additionally, users appreciate the wide range of features available in MySQL such as stored procedures, triggers and views which make database management easier.

What are the differences between Mongodb and Mysql and in which case should you use either of them?

The main differences between MongoDB and MySQL are as follows:
1. Database Model – MongoDB is a document-oriented NoSQL database, while MySQL is an RDBMS (relational database management system).
2. Data Representation – In MongoDB data is represented in JSON-like documents with dynamic schemas making the integration of data in applications easier and faster, while MySQL stores its data in tables which have predefined schemas.
3. Scalability & Performance – MongoDB provides better scalability and performance than MySQL since it supports horizontal scaling using sharding whereas vertical scaling can be done with both databases but requires more effort for relational databases like Mysql due to their complex architecture compared to that of NoSQL databases like Mongodb .
4. Query Language – MongoDb uses JavaScript based query language called “MQL” (MongoQuery Language) whereas MySql uses SQL(Structured Query Language).

MongoDB is a document-oriented database, while MySQL is an RDBMS (relational database management system). MongoDB should be chosen when you need to store and query data in flexible JSON documents. It’s also better suited for applications with large amounts of unstructured or semi-structured data that may change over time. Additionally, MongoDB provides features such as auto sharding which allow it to scale horizontally more easily than MySQL can.

MySQL is better suited for applications that require a relational database, such as those with complex queries or transactions. MongoDB is better suited for applications that need scalability and flexibility in data storage, such as web-based content management systems or mobile apps.

Feature Comparison: Mongodb vs Mysql

Database LockingIt provides a secure interface since it has a password system that is flexible, and ensures that it is verified based on the host before accessing the database. The password is encrypted while connecting to the server. A database lock is used to “lock” some data in a database so that only one database user/session may update that particular data. So, database locks exist to prevent two or more database users from updating the same exact piece of data at the same exact time.
QueriesThere are several ways to retrieve information from a database, but one of the most commonly-used methods is performed through submitting queries through the command line. In relational database management systems, a query is any command used to retrieve data from a table. In Structured Query Language (SQL), queries are almost always made using the SELECT statement.
Relational InterfaceA relational database stores data in separate tables rather than putting all the data in one big storeroom. The database structures are organized into physical files optimized for speed. The logical model, with objects such as databases, tables, views, rows, and columns, offers a flexible programming environment. You set up rules governing the relationships between different data fields, such as one-to-one, one-to-many, unique, required or optional, and “pointers” between different tables. The database enforces these rules, so that with a well-designed database, your application never sees inconsistent, duplicate, orphan, out-of-date, or missing data.
Data ReplicationData replication is the process of copying data from one location to another. The technology helps an organization possess up-to-date copies of its data in the event of a disaster. Replication can take place over a storage area network, local area network or local wide area network, as well as to the cloud. For disaster recovery (DR) purposes, replication typically occurs between a primary storage location and a secondary offsite location.
Advanced IndexingUnlike basic indexing, which allows us to access distinct elements and regular slices of an array, advanced indexing is significantly more flexible. The flexibility permitted by advanced indexing makes it a difficult topic to treat exhaustively without delving into somewhat terse and abstract notation.
Data ManipulationData manipulation is the process of changing or altering data in order to make it more readable and organized. For example, you can arrange data alphabetically to expedite the process of finding useful information. Another example of data manipulation is website management.
Database LockingYESYES
Relational InterfaceYESNO
Data ReplicationYESYES
Advanced IndexingNOYES
Data ManipulationYESYES


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