MongoDB Vs MySQL: Which One To Choose?

MongoDB Vs MySQL Which One To Choose

Selecting the database for modern applications has been a big challenge for some. Particularly after the arrival of relational DBMSs like PostgreSQL, MS SQL, and MySQL that have been dominant in the recent past.

Out of this, MySQL has consistently been a go-to option for many companies that are strictly searching for a relational database. However, with growing variety and massive volumes of data, the non-relational databases like MongoDB have risen as a solution for many enterprises’ need for fluid data.

The advent of the new non-relational database has given rise to the competition among MongoDB vs MySQL. This competition makes it difficult for entrepreneurs to select between the two. Here we will compare both the databases based on several factors that will give you insights about which database is better. Additionally, we will reveal when to use MongoDB or MySQL.

What Is MySQL?

As an open source RDBMS, (relational database management system), MySQL has increased popularity throughout the years. It was developed by MySQL AB and now owned by Oracle Corporation. Based on requirements, the users can pre-define the database schema and establish rules, capable of governing the connection between relevant fields in the tables.

MySQL, like other relational DBMSs, uses SQL (structured query language) to get access to database and keeps the data stored in tables. For rolling out any change in the schema, a migration procedure is essential, that can reduce the performance of the application significantly. It can likewise take the database to the offline mode.

What Is MongoDB?

MongoDB was developed by MongoDB, Inc and it is a well known non-relational database. Data is stored in this type of DBMS as documents in a form called BSON (a type of binary representation). The query access, the MongoDB query language is used to store the related data. The fields may be different for each document, and you should not declare the document structure to the systems. These documents are self-explanatory in nature.

Also know- All you need to know about MongoDB 3.2.

If you have to add another field to the document, you can create it, without rolling out any change to other documents present in the collection. The central system catalog doesn’t require any update and you need not take the system to the offline mode. You can use schema validation optionally to enforce the control of data over each one of the collections. The document data model of MongoDB maps objects in the application mode naturally. Subsequently, developers find it simple to master and use. The users can represent the hierarchical associations to the store arrays flawlessly, with other complicated structures.

MongoDB Vs MySQL:

MongoDB vs MySQL

Both MongoDB and MySQL have gained popularity as open-source database software. However, each of them is suitable for a particular situation. Let us see the difference between those two according to different aspects.

1. Database Structure-

In MySQL, the data value is stored in the tables by the MySQL database structure where SQL is used to access them. Schema is used to define the database structure. The prime requirement of the schema is that the rows have a similar structure inside the table. It also requires its values to be represented by specific data types. 

Though, in the MongoDB database, the data is stored in JSON-like documents that come in varied structures. To increase the query speed, it stores the related data sets together. These sets are then accessed by using the MongoDB query language.

The database is schema-free, which implies that the mobile application developers don’t need to define any document structures for creating the documents.

2. Index Optimization-

Both the databases MySQL and MongoDB make use of indexes for the task of searching data. In any case, the difference comes in the approach, when an index is not defined or found. When the index is not defined in the case of MySQL index optimization, the database engines scan the entire table to discover relevant rows.

While in MongoDB, when the index isn’t discovered then each single document in the collection is scanned with the goal that the document offering a match to the query statement could be chosen.

3. Database Deployment-

The databases for MongoDB are written in C, C++, and JavaScript. It has binaries for Solaris, OS X, Windows, and Linux.

Coming to MySQL, it’s written in C and C++ language and contains binaries for Windows, AIX, FreeBSD, HP-US, NetBSD, OS X, Linux, BSDi, IRIX, and so on.

4. Replication-

Databases for MySQL support master slave replication and master-master replication. With this multi-source replication, you can replicate numerous masters in parallel.

MongoDB supports auto-elections, built-in replication, and sharding. Developers can use auto-elections to set an optional database that will consequently overtake on the failure of the primary database. Sharding permits horizontal scaling which is viewed as hard to implement with MySQL.

5. What They Offer?

Oracle offers lifetime support at three of the essential levels for MySQL:

Premier: – Suited for 1-5 years old

Extended: – Suited for 6-8 years old

Sustain: – Suited for 9+ years old.

Each level offers 24*7 technical support alongside access to complete updates, patches, maintenance releases, and bug fixes.

MongoDB provides enterprise grade support. This support extends beyond the fix/break model. It provides you with an extended lifecycle support add-on alongside nonstop support. This gives the user flexibility to upgrade to a recent version at their own pace.

6. Speed And Performance

MongoDB is popular for better controlling huge volumes of unrestricted data as compared to that of MySQL. This is because it stores the entity data on a single document. Also, it permits the users to query in a sensitive manner to workload. It additionally allows the user to read and write data in one place.

MySQL is extensively slow compared to MongoDB when you use huge volumes of data. MySQL struggles to manage the high volumes of unstructured data. This is because the data is spread over numerous tables that should be accessed for writing and reading the data.

7. Security Model-

The significant security features in MongoDB include auditing and authentication and authorization. Users find it feasible to use transport layer security (TLS) and secure sockets layer (SSL) for encryption of ends. In addition, it ensures that the documents must be read by the intended clients. MongoDB is known for maintaining control over variable sets of privileges.

In MySQL, the security model used is based on privilege. This implies a user authenticated by MySQL can benefit a database like INSERT, UPDATE, SELECT, and CREATE.

8. Developer Productivity-

Comparing the MongoDB and MySQL based on performance, MongoDB appears to have an advantage. MySQL uses a rigid table structure model which makes it more slow for users to create an application in it.

Whereas, MongoDB accelerates the development cycle by around 4 to 5 times by simply working with data that has the flexibility of the JSON documents.

9. Atomic Transactions

MySQL, which is one of the most famous databases, supports atomic transactions. It implies that you can perform various operations inside a transaction.

Then again, MongoDB included support for multi-document transactions in its 4.0 version. This step made MongoDB a robust open-source database in the unstructured space.

However, there are still a few restrictions present with regards to unstoppable operations. Much after this, the database is still an enormous benefit for the MongoDB Developer community.

10. Distributed System-

MySQL isn’t built on distributed system architecture. However, ‘MySQL Cluster’, the new MySQL offering is built on the distributed system architecture.

On the other side, the MongoDB architecture is completely developed on the distributed architecture. Because of which it offers data localization with the help of replica sets and automatic sharding which maintains an ‘always on’ availability. This is the reason behind why it’s conceivable to make the data available globally when they are placed locally for governance and latency access.

When To Use MongoDB?

When high data availability is your need alongside automatic, fast, and instant data recovery. In case you’re working with an unstable schema and need to lower the cost of schema migration. In the event that your services are cloud-based, MongoDB would come helpful for your business because of its native scale-out architecture. Another factor is that this architecture is powered by sharding, which goes with the horizontal scaling and agility  offered through cloud computing.

When To Use MySQL?

If you’re starting your business and in which case, the database won’t scale that much. 

  • When you have a data structure which won’t change over the time.
  • A case in which you have a fixed schema.
  • If you’re looking for best performance ability in a lower budget.
  • When you require a high transaction rate.
  • If the data security is your priority.

Should You Use MongoDB Instead Of MySQL?

Organizations of different size and scale incline toward using MongoDB, because it allows them to build applications more rapidly. In addition, it’s also suitable with regards to managing the different kinds of data. Moreover, organizations can achieve higher efficiencies at application management.

Using MongoDB consequently eliminates the complicated ORM (object-relational mapping) layer. This helps in the translation of objects in the relational tables. With MongoDB, you get a flexible data model that allows you to change the database schema according to your business needs.

MongoDB can be scaled across platforms and within the various distributed data centres. In this process, they  provide availability and scalability, which is better than that of MySQL.

With deployments developing regarding data volume, MongoDB can be consistently scaled without downtime. With regards to MySQL, the user needs to do custom engineering tasks so as to accomplish scaling with MySQL. Because of all these reasons, numerous organizations have just moved from MySQL to MongoDB.

Wrap Up-

These are some vital points of MongoDB vs MySQL. This will surely help you to decide the best database for your business.

If you are still facing any difficulty to choose the best one, consult with our MongoDB Database Specialist and MySQL Developers who will provide you proper guidance for your project. Connect with Solace for efficient and effective web solution as per your requirement.

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