MongoDB Advantages and Disadvantages

In this article, we are going to reveal all possible advantages and disadvantages of MongoDB database | benefits and drawbacks of MongoDB database with ease. As follow them:

Advantages of MongoDB Database

Here, we will explore many advantages and benefits of MongoDB database; some of these are explained below:

Also Read: What is NoSQL Database? Types & Examples | NoSQL Database List

Lack of the Schema:

MongoDB has one collection that is contained the different types of documents, then it is getting a lacks a schema. Hence it is able to employ the various different kinds of fields, contents, and size as compare to other documents at the same collection. Cause of this, MongoDB keeps to manage the databases being with flexibility.

Performance Levels:

MongoDB keeps store mostly data into RAM, then it allows a quicker performance when you are executing the queries. It is getting to collect the data directly from RAM to hard disk and moves come back fastest. It is most significant to have a system along with RAM and accurate indexes for increasing the performance level.

Excellent Developer UX:

MongoDB is designed in such manner that it makes ensure to developers have a brilliant experience while making the applications. Another reason, they prefer this database can be implemented along with most compatible with many popular languages such as JavaScript, Java, C#, C, C++, Scala, Ruby on Rail, Rust, and etc.

MongoDB Atlas is available at the cloud, so it is getting to become simplest. Just making few clicks in the web user interface, users are capable to begin the coding and assigning the clusters pretty simple. MongoDB has few other abilities are:

• It allows the full text search.
• It also allows the 100% controlled server-side services for the creating apps.
• It makes to enable query and merge of data along with that kept in any HTTP store.

Cost-Affordability:

MongoDB serves the many flexible concepts, when you are using an cloud based MongoDB Atlas, then you are able to select the instance size that is most convinced your requirements. Users have also right to adjust your cluster to automatically scale as per your need. Then, you can keep your cost at a minimum; while still having the flexibility to manage the sudden traffic bursts.

Sharding:

Users are capable to keep store a vast volume of data by helping the distributing, then it is connected with many servers to the applications. When, any server is unable to manage the big data then there will not getting any failure issue. This process is also called the ‘auto-sharding’.

Higher Speed:

Cause of its document-oriented concept, MongoDB serves the higher speed as compare to other traditional relational database. MongoDB also makes deal with reliable use of cache and RAM; therefore, it allows for fastest retrieval. Hence, it allows to enhanced speed and performance to your programs; thus you have to need a system along with decent RAM.

Higher Availability:

MongoDB has amazing feature such as replication and gridFS, and this feature allows to help enhance the data availability in the MongoDB.

Documentation:

The MongoDB is in the class of ‘Document Stores’; where to represent the document as the data collection. MongoDB provides the perfect documentation that means it doesn’t tether along with data while it getting to process it for the storage space. It offers the data for every version, edition, and otherwise requirements to help users along with better documentation process.

Scalability & Transactionality:

Due to its better scalability, you are capable to design applications that are supported with managing the traffic spikes efficiently. That means, this work is distributed over the multiple computer systems that are smaller in size and less expensive. MongoDB is also capable to support vast amount of read and write operations.

The objects can be embedded along with in one another during the data modelling in the MongoDB system. Apart of multiple transactions as in the conventional relational database and updating can be done here along with only one transaction. The database transactions make enable with many changes to the database to be merged, and either carried out otherwise rejected in one batch, are also supported in the MongoDB.

Replication:

MongoDB gets to employ for redundancy by using the replication method, then data is distributed over the multiple machines through this function. It has the possibility for it that have to primary nodes and multiple set. The replication significantly prepares to the unexpected events. Then, secondary nodes get over as the primary node for the instance, if primary node is unavailable for few reasons.

Aggregation Approach:

The MongoDB is getting the aggregation that is used a framework with efficiently. When, many actions are carried out on the group of a data, and then we are capable to batch process data and achieve the single output. There are three types of aggregate framework like as aggregation pipeline, the map-reduce function, and single purpose aggregation techniques.

Ad-hoc Query Support:

An ad-hoc query means the non-standard inquiry that allows to generate to gain information if and when needed. Then, MongoDB provides the enhanced ad-hoc queries feature. It lets an application to prepare the fore coming queries that many happen in the future.

Indexing:

MongoDB provides the higher speed performance along with the right indexes. If, any indexing is utilised incorrectly otherwise has any discrepancies, then MongoDB will be getting to perform at very less speed. But, it consumes more time to solve these errors in the indexes.

Easy Environment and Quick Set-up Process:

It is getting to easy to setup the MongoDB as compare to RDBMS; as well as offering the JavaScript client for queries. Therefore, the installation, setup, and execution for MongoDB are instantly and pretty simple. This service allows users to get confidence to choose the NoSQL structure. MongoDB system also serves the quicker learning and training opportunities as compare the SQL databases.

GridFS:

The process of the storing and retrieving files is known as the GridFS. This service is most useful for files, those have size more than 16 MB. GridFS allows to split a document into many small units, then every unit is stored into a individual document. Apart of last segment, every unit of them consist the default size as 255 kb. If we try to ask GridFS for a file, then it places all the units together as necessary.

Having Simplicity:

The MongoDB provides the pretty simple query syntax that is much easiest to grasp as compare to SQL. It also offers the expressive query language that users find out the helpful during the development.

Better Platform and Ecosystem Maturity:

The MongoDB was released in 2007; today, thousands of applications use it database for getting many purpose. Therefore, this system has been modified to make ensure that emerging demands can be completed. Large scaled companies are especially certain about going to help, when it is required for the technology on which their online businesses are depended.

Change-Friendly Design:

If you’re used to having to bring down your site or application in the respect of changing the structure of your data, you’re in luck: MongoDB is designed for change. Apart of SQL database, you have to need determine and declare the schema of table before inserting the data. But, MongoDB collection doesn’t need your document to have the similar schema. That means, it is not getting to downtime to change schema, you are able to write new one data along with different structure at any time duration without getting any interruption your operations.

Full Technical Support:

The MongoDB provides the completely professional technical support to its clients for many services that it offers. This technical support is for the community forums, Atlas or Cloud Manager as well as Enterprise or Ops Manager. If you get any issue then experts are always ready for you to get touch you.

Disadvantages of MongoDB Database

There are some limitations and drawbacks of MongoDB database; some of these have been explored, you can check them:

Also Read: What is SQL? Uses, Applications, Characteristics | SQL Full Form

Joins Not Supported:

In the MonogoDB database, joining document can be a more time-consumption process, because it doesn’t work as the relational database so unable to manage joins. But, users can use the join functionality with manually putting the code. Hence, it fetches the information from the multiple collection necessitates a number of queries, that may take time and output in code that are diffused. But, it might be get slow execution and affect performance.

Transactions:

The transaction is the process of going to over and eliminating the unwanted data. Multi-document ACID transaction (Atomicity, Consistency, Isolation, and Durability) are going to use by MongoDB. Specific applications might need transaction to update the different types of document and collection, then majority of apps doesn’t. It is a most significant con of MongoDB because it may be result in data corruption.

Restricted to Data Size:

It is another limitation of MongoDB is a document size that is not applicable more than 16MB.

Having Indexing:

The MongoDB gets the quick performance, whenever the appropriate indexes are used. If the indexing is carried out badly or consist any bugs, then MongoDB will work at a very less speed. Hence, it will take more time to solve this indexing problem.

Restriction for Nesting:

You are unable to perform nesting of documents for more than 100 levels.

Limited Sort Operations:

If MongoDB is unable to use an index otherwise indexes to get sort the fields into a document, then it takes the initiate a blocking the data sort operation. The name represents to a SORT operation where all documents in a collection are read to return an output document that data flow for the specific query should be blocked.

Having Duplicates:

It is also major disadvantage of MongoDB is the data’s duplication. This restriction makes deal difficult to manage the data sets as the relations that are not well-defined. Hence, duplication of data might deal to corruption as it is not ACID issue.

Need Lots of Memory:

MongoDB has a lack of joins functionalities, so it has to need the massive amount of storage space that makes deal to the duplication of data. Due to increase the data redundancy, it takes up the unwanted space in the memory.

FAQs (Frequently Asked Questions)

What is the advantage of MongoDB over SQL?

MongoDB is an document-oriented model that allow to keep store the related data together; and it usually fastest to fetch a one document from the MongoDB as compare to JOIN data across the multiple tables in the MySQL.

What are the advantages of MongoDB over RDBMS?

There are many advantages of MongoDB over the RDBMS like as:

• MongoDB is easy to scale out
• Not require the mapping of application objects to the database object
• Usage of internal memory for keeping the working set
• Fastest get access of data

What are the disadvantages of MongoDB over MySQL databases (RDBMS)?

Here, some limitations of MongoDB over the MySQL database like as:

• Restricted to Data Size
• Restriction for Nesting
• Need Lots of Memory
• Limited Sort Operations

The Bottom Lines

Now, i can hope that you have been fully educated about various advantages and disadvantages of MongoDB database; as well as involving with benefits and drawbacks of MongoDB database with ease. If this article is helpful for you, then please share it along with your friends, family members or relatives over social media platforms like as Facebook, Instagram, Linked In, Twitter, and more.

Also Read: 25 Advantages and Disadvantages of DBMS | Drawbacks & Benefits

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Happy Learning!!