
I mostly liked the easiness of using MongoDB. We don't have to define table structure. We can add a new column in our data time as it is completely based on JSON. Review collected by and hosted on G2.com.
I don't have anything to dislike about MongoDB. Review collected by and hosted on G2.com.
mongo db is more relialbe database in industry , it provides more scalable feature in databse storage. and decribe the proper steps in data which solve the query by juct in the time. Review collected by and hosted on G2.com.
there is nothing dislike about mongoDb while using day to day in compny Review collected by and hosted on G2.com.
One of the aspects I appreciate the most about MongoDB is its flexibility. The document-oriented data model allows me to work with JSON-like documents, making it easy to handle and manipulate data in a way that aligns with the structure of my Node.js applications. Review collected by and hosted on G2.com.
Compared to relational databases, MongoDB requires more careful planning for certain types of queries or complex relationships. Join operations, for example, are not as straightforward in MongoDB due to its denormalized approach, which can sometimes result in more complex code. Review collected by and hosted on G2.com.
MongoDB provides a flexible data schema that makes it simple for developers to store and manage unstructured data. It is an excellent fit for applications with constantly changing data because of this property.
Scalability: When the amount of data in a cluster increases, new servers can be added because MongoDB is horizontally scalable. This makes it simple to scale programmes as data needs increase.
High Performance: MongoDB can deliver high read and write throughput and is built to manage large volumes of data. As a result, it works well for applications that need high performance. Review collected by and hosted on G2.com.
Absence of Transactions: Before to version 4.0, MongoDB did not enable multi-document transactions. Earlier versions of MongoDB had limited support for transactions, however, this is no longer a problem.
Data durability: Although MongoDB's write performance can be extremely quick, the system depends on an in-memory write operation, which could result in partial data loss if a failure happens before the data is written to the disc. MongoDB features a write concern option that enables developers to specify how many servers must approve a write operation before it is considered complete in order to ensure data durability.
Restricted Aggregation Functionality: MongoDB has a robust query language, but it has some restrictions on the ability to do complex analytics and aggregations. The application layer may need to perform additional processing on some complex aggregations. Review collected by and hosted on G2.com.
As a cloud engineer, it is challenging to recommend a database to the client without understanding their requirements and goals. However, MongoDB has made providing solutions a breeze as it is compatible with most of the use cases without significant changes to the application. Review collected by and hosted on G2.com.
The schema-less design supported by MongoDB can lead to challenges for beginners as moving from a schema-based design to a schema-less design involves many complexities. Review collected by and hosted on G2.com.
ease of installation and configuration and I can solve everything by code, be it C#, Node.js, Python or another, in addition to speed and scalability Review collected by and hosted on G2.com.
It's not that I don't like it, but working with transactions is a little more complicated, but it works well Review collected by and hosted on G2.com.
Mongo DB is a nice to work with database. Is does not have a schema, making it a flexible database. It is also scalable, making it suitable for large applications. All in all, it is a good database option to work with Review collected by and hosted on G2.com.
One big drawback of using mongo db is that it does not completely support ACID properties. This means that it cannot be used for transactional operations or where the data needs be extremely accurate, up to date and reliable Review collected by and hosted on G2.com.
The data is easily manageable and storing the data is also very easy using MongoDB. Review collected by and hosted on G2.com.
I am working on this software from last 1year and not facing a single issue in it. Review collected by and hosted on G2.com.
MongoDB is the best NoSQL database for your nonrelational data. It is best suited in MERN or MEAN stack projects. It has lots of features like online cloud storage and charts. Review collected by and hosted on G2.com.
Mongo db pricing is a bit expensive also they are not providing their DB in most cloud hosting. Recently we used Heroku and MongoDB is not there to install as a service. Review collected by and hosted on G2.com.