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A Flexible and Powerful Database System!
What do you like best about the product?
It is flexible and helps to store data in document format. If you want to handle a huge amount of data then it is a perfect platform. It is providing high performance and better solution of storing data. As data is stored in document format thus you can easily delete and add any existing field and you can change records as well. It helps in fetching data accurately and storing complex structures. It helps in storing data with any type and size.
What do you dislike about the product?
Users are facing a lot of security issues. Aggregation is complex and difficult to learn. It has a terrific administrative interface. It will not be able to work fast with a cloud environment, most of its processes will slow down. It may be impossible to remove some comments in it.
What problems is the product solving and how is that benefiting you?
You can access your data in any language. You don’t have to define a schema for setting up your database as it is a schema-less program. It helps in organizing documents into collections. It helps in speeding up your queries. Table joins are not required in it. It is providing fast data processing. It is also having great support from many cloud-based platforms.
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MongoDB- Advanced NoSQL database
What do you like best about the product?
Flexible Schema - In MongoDB we don't have to think about proper schema (unlike SQL databases) during application building, as our needs change we can add properties to schema.
Fast scanning in big collections- MongoDB stores data in a binary format that why its query executes very fast even in nested searches.
Fast scanning in big collections- MongoDB stores data in a binary format that why its query executes very fast even in nested searches.
What do you dislike about the product?
Infinite loop error- due to collections relations, while saving or updating data in another collection it gets stuck in an infinite loop.
Ram Size error- While doing a query on a large dataset, it gives an aggregate pipeline size error.
Ram Size error- While doing a query on a large dataset, it gives an aggregate pipeline size error.
What problems is the product solving and how is that benefiting you?
In our company, we work with flexible data from client databases. Therefore, we cannot determine the schema in advance. This led us to choose a NoSQL database, specifically MongoDB.
Useful For Database Management
What do you like best about the product?
The data is easily manageable and storing the data is also very easy using MongoDB.
What do you dislike about the product?
I am working on this software from last 1year and not facing a single issue in it.
What problems is the product solving and how is that benefiting you?
It is solving the issue of storing the large data and checking it in one click. Sharing the data with anyone also beneficial for me.
MongoDB is great
What do you like best about the product?
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
What do you dislike about the product?
It's not that I don't like it, but working with transactions is a little more complicated, but it works well
What problems is the product solving and how is that benefiting you?
Performance and working with data from multiple sources and different formats, with no defined standard
MongoDb I am using in my current project for storing data into the database
What do you like best about the product?
Mongodb handled unstructure data so we can store any data and as compared to mysql mongodb is easy to understand.
What do you dislike about the product?
As I know everything is good as of now no cons from mu side
What problems is the product solving and how is that benefiting you?
I am using in my project so it helps me alot to save the data or other database operations
No brainer MongoDB when it comes to databse
What do you like best about the product?
Key value pair is simple database schema so when you need some info to be stored, mongodb is the first thing that comes to my mind.
Compare to SQL there are easier aggregates function which will give you edge.
Compare to SQL there are easier aggregates function which will give you edge.
What do you dislike about the product?
As of now nothing to dislike as I'm working on it above 1 year.
In some scenarios SQL can be fast but ease of use and simplicity is the thing I have gone for, so it's awesome.
In some scenarios SQL can be fast but ease of use and simplicity is the thing I have gone for, so it's awesome.
What problems is the product solving and how is that benefiting you?
My all database solution is mongo itself and currently I'm using it in my application which is being developed at large scale.
It will be a huge software supported by Mongo DB
It will be a huge software supported by Mongo DB
Best Non RDBMS for better debugs for Data storage
What do you like best about the product?
Many clusters available to practice and get the output based on indexes and queries
What do you dislike about the product?
Altas connection is not much seured and not much scope of usage for free cluster
What problems is the product solving and how is that benefiting you?
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
Also microservices can be integrated with the azure platform with the database integration
mongo DB is a reliable and versatile No SQL database
What do you like best about the product?
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
What do you dislike about the product?
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
What problems is the product solving and how is that benefiting you?
It has given me an option of making a flexible and scalable database option, for creating day to day applications, where ACID compliance is not required. It is also easy to understand and work with, so that also helps.
MongoDB : The best in class NoSQL Database
What do you like best about the product?
The MongoDB provides state-of-the-art flexibility, scalability and performance for NoSQL, JSON-like documents with hierarchical relationships, dynamic schemas and load handling
What do you dislike about the product?
There are no major dislikings about MongoDB except high disk space usage and lack of ACID transactions, limited query options, indexing requirements and support for maintenance
What problems is the product solving and how is that benefiting you?
MongoDB is really helpful in storing the JSON format data with horizontal scaling and integrations with different APIs and services to run the application in an efficient and cost-effective manner
Best Open Source NoSQL database able to store large volume data effeciently.
What do you like best about the product?
Many popular SQL-based database technologies can help us to store structured data, however, when it comes to storing a huge volume of semi-structured, MongoDB which is a NoSQL-based database is one of the best in the business. It gives us the flexibility to store the less structures business application data seamlessly.
What do you dislike about the product?
Though MongoDB can store our data in large volumes smoothly It is less flexible when it comes to retrieving that data stored in multiple collections, As MongoDB doesn't support the Join feature amongst multiple collections for data retrieval. This causes data duplication and intervention of ad-hoc back-end code to perform join manually.
What problems is the product solving and how is that benefiting you?
Nowadays, we have humongous unstructured application data being generated daily which we want to store for various business purposes. MongoDB proves useful to do this for us, It is flexible enough to store our unstructured data, Also its open-source verbose documentation really benefited me to easily start using this from day one and learn at a faster pace, Moreover, Its auto-scaling and replication features strongly enables me to have high availability of my business data across the multiple users.
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