MongoDB Reviews & Product Details

Many clusters available to practice and get the output based on indexes and queries

Altas connection is not much seured and not much scope of usage for free cluster

Platform available to test the Database and use it in hybrid platforms. Also microservices can be integrated with the azure platform with the database integration

It is a fully documented DB where there are no relationships and can insert data in JSON format with n number of fields.

As there are no relationships, sometimes it is difficult to search a particular data and that is time-consuming.

It is data base where we can store the bulk of data in JSON format.

MongoDb is to use NO SQL database and is a open source Tool.

Memory Consumption is too large in case of MongoDB compared to ther DB's.

MongoDb is highly flexible and faster DB's and is easy to use.

The best thing about MongoDb is we can store any type of data by creating our own data type. Connection with other tools using Api is also simple. Syntaxes are easy to learn.

Complex aggregation queries are difficult when compared to sql. On a shared collection transaction is not supported. Documentation is not user friendly, it will be confusing.

It has rapid pace of development because it is schema less. It also simplifies modelling complex, non relational data sets. Data replication is also fast and easy.

It is very flexible to understand by javascript developers, their json format is very appreciable. Its too easy to use in backend and understand able.

The data size which is very typically higher.

Replica sets, which is consist of two copies or more, in a role of primary and secondary replica at time

It's good for storing unstructured data and storing eCommerce product information.

It gets very slow for aggregation queries.

We are using MongoDB to store eCommerce data. Benefits are you don't need to define any structure to store data.

I like how easy MongoDB is to integrate with my applications. The document-based aspect is also beneficial because it allows for raw JSON data to be directly inserted into the database.

There isn't anything I particularly dislike, but I believe their GUI applications could use some more refining (MongoDB Compass).

I can take data that I have massaged from CSV into JSON and directly insert the JSON into the document-based database. I don't have to worry about reformatting the data just to store it in my database. This reduces the risk of error when modifying the format of data.

Querying on MongoDB is so easy and simple that even a beginner can understand it very easily. Also, it has functions that are very useful for direct operations like count(), distinct, etc.

When a collection becomes too large, MongoDB doesn't perform very well and also there is a lack of connection between different collections.

We are storing eCommerce websites products as jsons in mongodb. Benefits are that you can save python dictionaries or jsons directly in mongo.

Mongodb is very friendly for new developer to learn, moreover, it has amazing document that support many programming languages

Unfortunately, the doxuments are heavy in memory

I created many API's for mobile application using mongodb. The benefit of access methodology (key, value) made the API's very fast.

High availability is the best feature—no need to worry about the stability or server uptime.

MongoDB is not matching to all scenarios. Sometimes you need to stick to a SQL database for simplicity. This is not a reason to dislike but a reason to avoid in some cases. Also, documentation could have improved for new users.

No need to normalize the schema.

Great data store in for nosql data stores.

reliability is one concern with the no sql databases. Hence need to be improved upon. Not sure if ACID might be applicable to ur usecase but thats something I dont rely on mongodb for

I am trying Mongodb for some analytical datastore where delays are OK. I will not use Mongo db for transactions data though.

Easy to query, no complex joins required as RDBMS. Scalable and flexible with the querying and indexing

Data consumption is high due to denormalizarion

Mapping is little slow. No default transaction support

Easy to maintain and flexible. Doesn’t have complex tables and can view as Json

Doesn’t support when large amount of data is loaded

None

The best part is that you can create database on runtime with no restriction for data types. Indexing makes it even more convenient to search for an specific records or no of records, it saves time and search in a targeted manner.

It command line interface needs experts to work with. It should have been a better UI for everyone's convenience. It sometimes doesn't work when working with huge data processing.

There is no need to create complex schemas for a dataset.

MongoDB is a NoSQL database which has the ability to handle large unstructured data. It's a flexible database i.e. schemas less which gives us a freedom to store data of different types which we were not getting in SQL databases. Another mani benefit which i have seen in MongoDB is Sharding which allows us to distribute the large data to the several servers connected to the application. Another main thing was Scalability as we were dealing with loads of data, It is a horizontally scalable database.

I would not say i dislike but it depends on the use case that we are using. First thing, JOINS are not supported which is the backbone of SQL databases. Another thing is the maximum document size which can't be greater than 16MB. I really don't understand what's the concept of this limit.

We are trying to use a database in which the schema is not fixed and can be changed over time which is not easily possible in SQL database. Another thing, we want to handle large unstructured data and most of our service are cloud based, mongoDB was our best shot i say

The ease of use of the product allows us to see the health of our database and its sanctity in real time.

For a new user all the charts and graphs can be overwhelming at start, a more smoother flow and introduction to the product will be beneficial.

The alerts which are triggered when any data value goes out of bounds, helps us to determine any anomaly in the products we sell. It also helps us to realise if any part of the system is broken.

Coming from a traditional relational db background, I appreciate the performance and operational benefits of using Mongo DB. We use a lot of unstructured data and have been using Mongo as our store and it has been a good fit

A lot of our data is unstructured and needs to be searchable. I am looking for ways to optimize our lookups. Better tooling support would certainly be appreciated. We do use explain plans though.

As stated above we use it mostly to store unstructed documents

Efficient engine, can be in-memory cache and highly optimized sharding structure and scaling makes up for great performance.

Limitations and inability to deploy to on-premise and cloud.

JSON based APi for front end SPA and back.

Designing Schemas was very super super fast

I was not able to find as much documentation as I would like

Using it for a new application.

Easy to install and manage, very flexible schema, useful for many use cases.

Does not scale very well and we have hit write limits.

We have used it for Pub/Sub use case and storing unstructured data. It works well for querying unstructured data.