Mayank Patel
Oct 18, 2021
4 min read
Last updated Jun 20, 2024
Database drives the functionalities of an application, and if we say a database is a backbone of an application, it will not be wrong. Further, there are various databases like Mongo, MySQL, PostgreSQL, etc. are available, but the developer should be smart enough to select the logical database technology.
Being a database development company in India, we always let people know any technical aspect from depth. In the same series, here will discuss the comparison between MongoDB vs MySQL vs PostgreSQL in terms of their performance.
However, firstly we should understand each of the databases individually and afterward, will summarize their differences.
The database is free of cost and belongs to the traditional database concept that we call ORDBMS (Object-Relational Database Management System).
The database gained attention because of its extensibility. Some specific functions and procedures that do not execute using either MySQL or Mongo DB are possible with PostgreSQL.
Also, at Linearloop we have a PostgreSQL database server to develop projects without any hurdles. We also have experts, and you can hire PostgreSQL developers easily.
Feasibility and Compatibility: If a system is compatible with various operating systems, it automatically gains attention. The same has happened here. The database is compatible with different operating systems like Unix, Windows, and many more.
Extension: In PostgreSQL, developers can add multiple extensions to one server that make functions more effective. In a single time frame, the system handles these extensions.
Follows ACID approach: As per DBMS, ACID means Atomicity, Consistency, Isolation, and Durability.
Here, it shows that PostgreSQL can recover the application from failure in a structured format. Hence PostgreSQL further eases the life of a programmer because data remains in the right state always.
Also read: How do I optimize my bare metal server for performance and security?
With the evolution of technology, various databases are in concept now, and MongoDB is one of them. It is a no-schema, cross-platform database. Technocrats also call them as NoSQL program.
Further, the database is in trend, and most of the IT companies are working using MongoDB as backend technology. We are also offering MongoDB development services in India and the USA.
Our clientele is available in all the verticals of the globe. Further, the database has its free as well as enterprise version.
The duplicity of data: MongoDB has the ability to run on more than one server simultaneously. Hence if data of one server is lost because of any problem, it will be saved on the other. It saves a lot of data recovery time.
Query Performance: Using MongoDB becomes significant because it supports regular expressions, ranges queries, and field queries. Here, queries enable you to get particular fields and user-defined functions. The concept is possible with MongoDB because it indexes BSON documents and follows MQL (MongoDB Query Language)
Magnificent Storage Capacity: MongoDB is renowned because of its storage capacity as it can store a substantial volume of data without disturbing the speed or creating any other complications.
Handling of AD-HOC queries: The database system is capable to handle AD-HOC queries efficiently. Further, AD-HOC queries are those having non-standard inquiries of any language. Such queries are supported here without any issue.
MySQL is a widely used database system across the world. Further, it is open-source, and that is why it became the developer’s choice. Oracle has developed MySQL that follows RDBMS (Relational Database Management System).
Data is structured in the format of rows and columns. Moreover, Linearloop is one of the leading MySQL database development companies in India and the USA, and we have delivered many projects using the database.
Holds Client-Server Method: Here, communication with the server is comfortable because of its uncomplicated structure. Moreover, a team can work using LAN (local area network) from their PCs.
Interface: The interface is large and very flexible to use. Many developers find themselves comfortable using MySQL.
Speed and Compatibility: MySQL is compatible with many programming languages like Java, PHP, C, C++, etc. Moreover, it offers speed to the application that further saves lots of time.
So far, we have understood the concepts and features of each of the databases, and now to understand MongoDB vs MySQL vs PostgreSQL performance, we are sharing our comparison chart. The chart highlights their difference, and the developer will be able to draw a conclusion.
| Feature | MongoDB | MySQL | PostgreSQL |
| Database Type | NoSQL and Document-Oriented | Relational Database (RDBMS) | Object-Relational Database (ORDBMS) |
| Data Model | JSON-like documents (BSON) | Tables with rows and columns | Tables with rows and columns |
| Year of Launch | 2009 | 1995 | 1989 |
| Website and Documentation Link | Web: www.mongodb.com | Web: www.mysql.com Doc: dev.mysql.com/doc | Web: www.postgresql.org |
| Schema | Flexible and Schema-less | Fixed Schema that can be altered. | Fixed Schema that can be altered. |
| ACID Compliance | Limited can be improved with multi-document transactions. | Fully ACID compliant. | Fully ACID compliant. |
| Scalability | Horizontally it is highly scalable. | Horizontal scalability is limited but vertically it is highly scalable. | Horizontally and vertically it is highly scalable. |
| Performance | It provides high performance for read and write operations on unstructured data. | It gives high performance for read-heavy operations. | It provides High performance for complex queries and write-heavy operations. |
| Query Language | MongoDB Query Language (MQL) | Structured Query Language (SQL) | SQL and procedural languages (PL/pgSQL) |
| Indexing | You can get rich indexing support including geospatial and text. | You can get basic and advanced indexing options. | Get advanced indexing options including full-text search & GiST, GIN, and BRIN. |
| Transactions | It provides support for transactions with limitations. | It provides support for full ACID properties. | It is supported with full ACID properties. |
| Replication | It comes with built-in replica sets. | Enjoy master-slave replication and multi-source replication. | It provides master-slave replication and streaming replication. |
| Sharding | It provides support for built-in sharding. | There is no support for native sharding. | It doesn’t provide support for native sharding but it can be implemented. |
| Community Support | You can get strong community and enterprise support is available. | It comes with a large community extensive document and commercial support. | It has a large community that comes with extensive documentation and commercial support. |
| Use Cases | It can be used for real-time analytics, content management, and IoT. | It can be used for web applications, read-heavy applications, and e-commerce. | It can handle complex queries, data warehousing, and geospatial data. |
| Security | It offers Role-based access control and encryption at rest during the transit. | It provides Role-based access control, SSL/TLS, and encryption at rest and in transit. | It provides Role-based access control, advanced authentication, SSL/TLS, & encryption at rest and in transit. |
| Licence | Server Side Public License (SSPL) | GNU General Public License (GPL) and commercial licenses are available. | PostgreSQL License (similar to MIT). |
| Stored Procedures | It is not supported. | It is supported using SQL, procedural languages | It is supported using PL/pgSQL, PL/Perl, PL/Python, etc. |
| JSON Support | Native JSON support and BSON format | Limited JSON support | Advanced JSON support and JSONB for binary storage |
| Full-Text Search | Basic support | Limited through plugins. | It offers advanced full-text search capabilities. |
| Cloud Services | MongoDB Atlas | Available through various providers like Amazon RDS, and Google Cloud SQL. | Available through various providers like Amazon RDS, Google Cloud SQL, and Azure Database for PostgreSQL. |
Like always we say, each technical concept whether it is a programming language or database management system has its own significance. Selecting them depends solely on the requirement of a project.
As far as Linearloop is concerned, we are a recognized software development company. Moreover, we are also offering MongoDB & PostgreSQL database development services. Feel free to shoot your queries.
What is New Feature in MongoDB 5?
Have you heard MongoDB has launched its version 5.0? If you are still unaware, our content will help you for sure. Here we have covered all the updates that have been announced at the MongoDB event.
The implementations are made to ease all the complications faced by the developers during data management. As a result of which the productivity and outcome both have improved by a huge margin.
Initially, developers take too much time to execute the task and now with the help of a new update, it will be done frequently.
Moreover, the new updates are also helpful for hybrid software for which people were waiting. Overall the new update of MongoDB 5 brings quality, productivity, security, and maintains the privacy of the data as well.
Now let’s move to know about the updates in detail so that you could ease the task of your database management.
The president and CEO of MongoDB Dev Ittycheri has shared the announcement through these words. “Today’s announcements remove even more friction and complexity from the developer experience and enable developers to build innovative and highly scalable applications for a wide range of use cases faster than on any other platform.”
Native time-series features:
MongoDB has realized a problem with time-series data. Because of the time and high ingestion rates, the developer was bound to work using bulky data.
Sometimes developers became fed up because of large volume data because the data upends with negligible updates. And this is the reason, all the queries are dependent on the time-based filters.
Now, version 5 of MongoDB has brought relaxation because it is featured with clustered indexing and window functions. Both of these implementations make the execution process fast because developers will be able to create and run the applications of time series.
Furthermore, this new native time-series feature is dedicatedly designed for financial analytics and IoT applications.
Here, For low latency queries, more storage efficiency, and real-time analytics, the optimization of the schema is done automatically.
So developers are not required to take any kind of headache to manage their database under the given scenarios.
The new update is quite significant and here are some leading advantages are like:
A problem is analyzed while sharing the data because sometimes its management becomes challenging. With the previous concept of sharding, a huge number of datasets were shared through a cluster of databases.
Additionally, the handling of the developer’s request was also done at the same time. Overall the process becomes too lengthy and takes time as well.
The new implementation of MongoDB 5 allows you to get rid of the issue. Here the concept of live resharding is introduced that helps developers to change the shared key.
Doing this will scale out the workload without any hindrance. Keep changing the shared key as the workload evolves for the required collection on-demand with no downtime of the database. Also, there is no need to worry about complex migrations within the dataset.
Data security is the biggest concern of the industry and to strengthen the security of data, MongoDB 5 has been launched. The concept has introduced client-side encryption to protect their data and privacy.
Users will get more assurance of their data security from unwanted hacks. In the new version of MongoDB, the drivers of MongoDB encrypt the sensitive field of the information on the application side.
As a result, the data is always encrypted whether it is in-motion, in-memory, or at-rest. There is no need to put various security protocols for data protection.
Now the MongoDB itself takes the responsibility to maintain the highest possible security of the crucial data.
We know you find it interesting because this new update has eased the developer’s life. The concept gives more flexibility to the users. They are only required to select their cloud region.
Afterward, they are free to start developing and mapping their information into code. Also, the system offers full support and one is not required to get worried about compatibilities and various upgrades. The freedom offered here is hard to get anywhere else.
Like always, Linearloop aggressively adopted the new changes and practically implemented them. We work using MongoDB for our data management task because it gives us more flexibility by bringing out the expected outcome.
We are a leading Mongo DB development company in India and across the globe as well. Our experts are very much comfortable with the new version of MongoDB.
Being a technocrat, our aim is to develop a project by following the best practices. Also, we believe, technologies are enhanced for a superior and smart world.
So, guys, this is all about the recent updates of MongoDB. If you work on the technology, you must follow the new update. It will ease the development work and also makes it more agile.
Let us know if you are looking to know more. We will be more than happy to help.
Mayank Patel
Sep 13, 20214 min read
