MongoDB is a NoSQL database based on documents and ideal for ample data storage. It came into the market in the middle of 2000 and falls under NoSQL databases. This system uses DBMS dynamic schemas to make records without defining structures like types or fields and their values. This database system helps you modify the record structure that is called documents with the addition and deletion of existing fields.
An overview of MySQL
MySQL is a widely sought- after database management system. The daughter of its co-founder Michael Widenius daughter’s name is My, and so this database got its name keeping her in mind. The project is maintained and owned by Oracle Corporation, and its source code falls under GNU GPL.
This database management system an RDBMS system and it works on this model. This is why the system administration is flexible and easy. Here, you require to pre-define the database schema depending upon what your needs are. Later, you need to establish rules that will help you manage the related fields in the table.
Reasons for you to use the MongoDB
- MongoDB is adaptative and flexible to real-life business requirements and situations
- You can make the queries return to specific fields in the documents
- MongoDB gives you support for range and field queries, regular expressions, and more for you to search the information from the data that has been stored.
- This database management system is simple and can be scaled up easily
- Helps you to deploy the internal memory for storing functional datasets temporarily to make it faster
- You get primary as well as secondary indexes on a field
- Get support for database replication
- Use MongoDB as a system for file storage. This is called GridFS
- Get multiple techniques to carry out aggregation functions on the data system like map-reduce, aggregation pipeline, and single objective aggregation commands.
- Permits you to store any file of any size without impacting the stack
- Deploys JavaScript objects instead of the procedure
- Gives you support for special collection types like Time to Live to store data that can terminate at a specific time.
- The dynamic system schema deployed in the MongoDB is known as JSON.
- You can make indexes for improving the performance of searches in the MongoDB database. Any of the fields in the MongoDB document can easily be indexed.
- Get high availability on the MongoDB system with replica sets
- The MongoDB database can function over several servers. This helps you balance the load and duplicate the data, so the system functions without hassles, especially in the event of the failure of hardware.
To know whether the MongoDB database management system is ideal for your business needs, you can consult the professional experts at RemoteDBA here.
The following are the key reasons for you to use the MYSQL database –
- You get support for functional features like Scale-Out, Master-Slave Replication and more
- Get support for offload reporting, the distribution of geographic data and more
- You get the functions of query cache when you repeat statements
- For a table that is used frequently, you can get the support for memory storage engines
- The troubleshooting process for MySQL is very simple. There are different sources in the market, like books, white papers, and online blogs that give you accurate information.
Given below are the critical differences between MongoDB and MYSQL
| MongoDB | MYSQL |
| Represents the data as documents in JSON | Represents the data in rows and tables |
| No need for you to define the schema. You can drop documents, and there is no need for you to use similar fields. | You need to define the tables and the columns before storing anything. Every row in the table should have columns that are same as one another |
| The database has a pre-defined structure, and you can adhere to it; however, you can also have different documents in the collection in various structures. | Here, the schema cannot be changed as the database uses Structured Query Language (SQL) for accessing the system |
| It supports C and C++ | Supports C, JavaScript, and C++ |
| MongoDB, Inc manages ongoing developments | Oracle Corporation manages consistent development |
| Has support for sharding, auto-elections and in-built replication | Supports both master replication as well as master-slave replication |
| In the absence of an index, every document in the database must be scanned for choosing documents to provide a match to the query statement. | In case, the index has not been defined, the engine of the database has to scan the table to get all the relevant rows thoroughly. |
| MongoDB is ideal for you if most of your services are on the cloud | MySQL is perfect if data security is your main priority |
| You have no limits on the design of the schema | You need to define the columns and tables before storing anything. Every table and row should have the same column. |
| MongoDB deploys JavaScript as the query language | MySQL deploys Structured Query Language |
| Does not support JOIN | Has support for JOIN operations |
| Can manage huge unstructured data | MYSQL databases become very slow compared to MongoDB when it comes to managing extensive data |
| Great for mobile apps, content management systems, Internet of Things and real-time analytics | Ideal for data that is structured and has an explicit schema |
| No risk of SQL injection attacks as it lacks schema definition | Susceptible to SQL injection attacks |
| Suitable for both structured and unstructured data or for structured data that can grow fast | Ideal for structured data in case you are looking for a conventional relational database |
Experts in database management services state that if most of your business operations are cloud-based, it is wise to choose the MongoDB database system. MySQL is ideal for businesses that look for data security for the company. In case of further queries, you should always consult trained professionals in the field for expert guidance on which database system to invest in with success.