MongoDB Reviews & Product Details

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.

First integration and starting to use MongoDB is very easy (using MongoDB Atlas), creating and configuring a cluster took few mins

Using the MongoDB daily to store application and users state.

Documentation is very clear and covring the large number of features. Review collected by and hosted on G2.com.

Using the map-reduce queries is a little complex and took some time to understand 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.

MongoDB is a NoSQL database, which means it's cheaper and easier to maintain than traditional relational databases. Review collected by and hosted on G2.com.

MongoDB limits document size to 16MB and nesting to 100 levels. Review collected by and hosted on G2.com.

MongoDB is a data platform which makes easy to structure different data. Review collected by and hosted on G2.com.

Their is nothing to dislike about MongoDB, Beacuse is very usefull for me to perform my work easily. Review collected by and hosted on G2.com.

Like other public cloud resource we can easly manager varius project and DB cluster in few click Review collected by and hosted on G2.com.

Low visibility on matric. sometime dont have inside details of cluster activity Review collected by and hosted on G2.com.

The best thing about Mongodb is that it uses Javascript for queries so any javascript developer can start with Mongodb with very less effort. Review collected by and hosted on G2.com.

The community is not that strong, sometimes you need some help with specific queries but there isn't enough content available in the internet.

The downside of using mongodb is, although a javascript person can start designing the database architecture but in long term when the db expands, then there might be difficulties in scaling. Review collected by and hosted on G2.com.

It has a great community, so finding information is pretty easy. Also it is a really good tool to integrate with new development technologies. The best thing for me is how flexible it is when storing information (documents), so if your project evolves you can adapt easely. Review collected by and hosted on G2.com.

When dealing with heavy loads it might be tricky to deal with concurreny but with a little forward thinking you can sort things out. Review collected by and hosted on G2.com.

It's super easy to spin up a scalable MongoDB instance and scale it as necessary. The GUI is comfortable. The software works (usually). Reliability can be an issue though. Review collected by and hosted on G2.com.

Compose experienced downtime and our database became unavailable, at which point we immediately sent an e-mail and were left sitting cross-legged waiting for a response for hours until service was restored. You have no control over the infrastructure and have to wait for Compose to fix any uptime issues. Review collected by and hosted on G2.com.