MongoDB Reviews & Product Details

ease to use for not structuring data schema for Mongo db Review collected by and hosted on G2.com.

on relationship hard to get data based on 3-4 degree relationship Review collected by and hosted on G2.com.

Mongo Compass was a great GUI, that helped me first step into working with databases. When I first used MongoDB, I was a front end focused software engineer. When it came time for me to learn how to build projects with databases, MongoDB and Compass was the tool that helped me start learning quickly and the gain confidence. Review collected by and hosted on G2.com.

The non relational nature of MongoDB is probably both it's strength and it's weakness. I think if MongoDB could find some way to enforce typed Schemas and relationships in the way that SQL databases does, it would help a lot of software engineers. I understand that there is speed that comes with a non relationship DB, but having the write out a scheam and relationships forces the engineer to think through their database design. It feels like why Typescript, is better than using Javascript is almost all cases. In the begining a new engineer might complain that Typescript is slowing them down, but in the end it is the best choice. Review collected by and hosted on G2.com.

NoSQL is a low-cost, flexible, and easy to use and Implement Database, and MongoDB is one of the best for both small and large Databases. It also supports Vector search now. It has MongoDB Atlas which is a Cloud native service. We can integrate it with almost all backend languages and services. I use it in most of the projects. Customer support is also good. Review collected by and hosted on G2.com.

For complex operations and function driven tasks, there are better alternatives. Also for vector search, I think databases like Pinecone are more suitable. Review collected by and hosted on G2.com.

I have been using MongoDB for the past 3 years and I like the flexibility of storing data in JSON like BSON document storage. Compared with other Databases we can easily build powerful queries and indexing capabilities. This DB gives me high-performance and failover solutions. Review collected by and hosted on G2.com.

MongoDB stores data in BSON format so storage is consuming. Data consistency might not suit all applications. Lack of enforced schema structure so managing and maintaining data more challenging compared to traditional databases. Review collected by and hosted on G2.com.

MongoDB stands out for its flexible schema, scalability, powerful query language, ease of use, and active community support. Its schema-less design allows dynamic data structures, making it adaptable to evolving applications. MongoDB’s scalability and efficient handling of large datasets make it a popular choice. The expressive query language and straightforward setup contribute to its appeal. Keep in mind that MongoDB’s strengths align with specific use cases where flexibility and scalability matter most. Review collected by and hosted on G2.com.

Managing complex relationships between documents can be tricky. Users sometimes struggle with designing efficient data models. Review collected by and hosted on G2.com.

It supports storing No Sql data or semistructured data in document format (JSON)

Scalability: high scalabilty supports support storing large amount of data

A powerful query language and aggregation framework for efficient data retrieval and manipulation. Review collected by and hosted on G2.com.

Limited Joins & Acid Complaince

wisley choosing the data model and indexing strategies as it may consume a lot of memory Review collected by and hosted on G2.com.

MongoDB is the best DB, I have encountered so far in case of NoSQL DBs.

It is very fast and efficient.

Very easy to install on server.

Also the UI offered by Mongo Compass is very user friendly. Review collected by and hosted on G2.com.

No disliking as per my usage. It fulfills all of my requirements. Review collected by and hosted on G2.com.

The best thing about mongodb is its way to store the data in NOSQL format.

I had tried and made POCs using mongodb in past. Review collected by and hosted on G2.com.

The latency of data delivery and Complex query take more time to read and write Review collected by and hosted on G2.com.

MongoDB is flexibility, allowing you to store data in a way that best fits your application's needs. This flexibility makes it easier to adapt to changing requirements and iterate quickly during development and handling large volumes of data and high-traffic applications. Review collected by and hosted on G2.com.

Backup and restore operations can be more complex compared to traditional relational databases and MongoDB does not support joins in the same way as relational databases Review collected by and hosted on G2.com.

Its a very capable database its scalable and flexible which can be used for real time analytics. Review collected by and hosted on G2.com.

It has a learing curve. Sometimes its challenging to manage shraded clusters Review collected by and hosted on G2.com.