I have been using MongoDB for the past 3 months and I have noticed a few points that I would like to highlight. MongoDB provides great flexibility, object-oriented models, and design. Its scalability is also impressive. I have successfully integrated it with Textastic, and it is working perfectly. Its very easy to use and provides good customer support as well. Review collected by and hosted on G2.com.

There are a few points, which can be improved like lack of transaction support, memory usage and learning curve Review collected by and hosted on G2.com.

MongoDB makes it simple to work with data, like storing and finding data quickly.

It can handle large volume of data without slowing down.

It is easy to use even if you are not expert.

It is very secure so the only right people can access the data.

It is easy to integrate in code.

The schemaless architecture makes it very useful for raw and especially json data. Review collected by and hosted on G2.com.

Using mongoDB might cost high especially for bigger projects with lost of features.

Sometimes it might have bugs or issues that need fixing. Review collected by and hosted on G2.com.

Easy to connect

Query understanding is easy Review collected by and hosted on G2.com.

lack of query functions as compare to SQL Review collected by and hosted on G2.com.

It is a Highly Flexible and scalable No Sql database that offers fast performance and a rich query language with its document-based data structure it allows for easy handling of complex data models and adapts well to changing business requirements its built in replication and high avilability features ensure data redundancy and fault tolerance. Mongo DB's active community and vast ecosystem make it a popular choice for developers and organization looking for a powerful versatile database solution. Review collected by and hosted on G2.com.

while numerous adavantages, does have some potential drawbacks to consider. These include a learning curve for mastering advanced features, the lack of transaction support for complex analytics, and limitations support for complex analytics, and limitations and limitations in the free community edition. It is crucial to carefully assess these factors un relation to your specific needs and use case before deciding if Mongodb is the right database solution for your project. Review collected by and hosted on G2.com.

MongoDB's document-oriented schema is flexible and adaptable, allowing you to easily model complex data structures without being constrained by a rigid relational schema. MongoDB benefits from a large and active community, providing extensive documentation, tutorials, and libraries in various languages. cloud-native features, like Atlas, simplify deployment and management on various cloud platforms, offering scalability and flexibility without managing infrastructure. Easy to use and integrate with spring boot and other platforms.

Ease of implementation with other DB for DB per service arch. Review collected by and hosted on G2.com.

Limited Join Capability, Data Consistency Guarantees, Potential Data Integrity Issues, Troubleshooting performance issues or data inconsistencies in MongoDB can be more involved compared to relational databases due to its distributed nature and lack of ACID guarantees. Customer Support is most of the time not available. Review collected by and hosted on G2.com.

What i like most about MongoDB is that it is very easy to use, when i worked with React and required to retrieve or store data i integrated MongoDB with Nodejs.It has document based schema which makes it look much easier. Review collected by and hosted on G2.com.

It does not support ACID properties. And it slows down when inconsistent or unbalanced data is shared. Review collected by and hosted on G2.com.

MongoDb Atlas free hosting platform to start with project is the best. It's simplicity to connect with project makes it easy to use with different backend languages. Review collected by and hosted on G2.com.

Didn't found as such, overall it's good. Review collected by and hosted on G2.com.

Ease of Use:

If you use Mongodb in any project this is useful for relationships suppose you are creating an e-commerce website it is useful because there is no table-like database it stores only the data you want suppose you are creating an electronic collection so if you are using MongoDB so it contains data in json format and it consumes less space and much faster.

Ease of Implementation :

If you implement this into your project so that JSON format is straightforward to view, read, and write because this is similar to javascript syntax and it consumes less space and is faster and you can store data by creating schema and that relationship is also great and less coding.

Number of Features :

MongoDB provides a few tools:

MongoDB Compass

Mongo Atlas for using Online through MongoURI

Mongo Terminal

Ease of Integration :

If you integrate this into in your project so there is module so you can install that module and you can easily integrate this with your any backend project and anywhere Review collected by and hosted on G2.com.

So the dislike thing is you can easily store data without creating any schema and there is not default validation if you want to use validation so you have to create additionally but in the MySQL there is default validation no duplicate data will store in database but in the MongoDB there is nothing to validate but if you want to validate something so you have to use required true and so many things. Review collected by and hosted on G2.com.

MongoDB has been my go-to NOSQL database for years in my daily usage. It has a lot of very good feature sets combined while not being complicated to use. It has a very good community and can be integrated with all tools, frameworks, and languages with ease. There is Mongoose which further makes its implementation very swift. It is a fast, versatile, well-maintained service. Review collected by and hosted on G2.com.

In my everyday use of MongoDB the only thing I find lacking is its ability to connect data. It's no relational sql database but querying should be made easier for users. In recent times it has moved more company-centric but that's fine as it has a very good self-hosting option. Review collected by and hosted on G2.com.

Flexible document base data models, easy to use and implement with various languages, large community for questions and tutorials, its query language and reliable in production applications Review collected by and hosted on G2.com.

has a learning curve if coming from sql based databases, things like joins, data integrity and schema validation are not available here. usually you know these drawbacks when you choose nosql Review collected by and hosted on G2.com.