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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.
Review - MongoDB best NoSQL
What do you like best about the product?
1. Its document-based system
2. queries we can use, like using APIs
3. built-in shell for Mongosh
4. It supports complex queries, aggregations and indexing.
5. Easy to establish connections; also, it keeps a history of connections by saving them.
6. It provides a theme, so it's good for a person like me who prefers dark mode.
2. queries we can use, like using APIs
3. built-in shell for Mongosh
4. It supports complex queries, aggregations and indexing.
5. Easy to establish connections; also, it keeps a history of connections by saving them.
6. It provides a theme, so it's good for a person like me who prefers dark mode.
What do you dislike about the product?
1. setting replication and high availability becomes complex as compared to sql.
What problems is the product solving and how is that benefiting you?
It basically uses documents-based JSON format, and in MongoDB, we can easily format our documents, so that's the best part.
We can easily create collections, keep many docs, and share them with other team members.
We can easily create collections, keep many docs, and share them with other team members.
An easily scalable and manageable solution
What is our primary use case?
What is most valuable?
The solution is easily scalable and manageable. Tools can be easily added to the solution.
What needs improvement?
Customer support needs improvement knowledge-wise.
For how long have I used the solution?
I have been using the solution for two years.
What do I think about the stability of the solution?
It is a stable solution. I rate the stability a ten out of ten.
What do I think about the scalability of the solution?
It is a scalable solution. I rate it ten out of ten.
How are customer service and support?
I rate the support an eight out of ten.
How was the initial setup?
The initial setup is straightforward. The deployment takes three hours. I rate the initial setup a ten out of ten.
What was our ROI?
I have seen a 10% return on investment.
What's my experience with pricing, setup cost, and licensing?
The solution is fairly priced. I rate the pricing a seven out of ten.
What other advice do I have?
I rate the overall solution an eight out of ten.
Which deployment model are you using for this solution?
Public Cloud
Used to store data, migrate data from SQL to NoSQL, and collect data from websites
What is our primary use case?
MongoDB Atlas can be used to store data, migrate data from SQL to NoSQL, and collect data from websites.
What is most valuable?
Object-based data storing capability and managing non-structured data capability are the most valuable features of MongoDB Atlas.
What needs improvement?
MongoDB Atlas should add more APIs in their Terraform module because sometimes I find it difficult to find the resources in their Terraform model.
For how long have I used the solution?
I have been using MongoDB Atlas for two to four years.
What do I think about the stability of the solution?
I rate MongoDB Atlas a nine out of ten for stability.
What do I think about the scalability of the solution?
I rate MongoDB Atlas ten out of ten for scalability.
How was the initial setup?
MongoDB Atlas’ initial setup was straightforward.
What about the implementation team?
We use Terraform to deploy MongoDB Atlas. The deployment is easy if you have the code, and can be done within five minutes.
What other advice do I have?
MongoDB Atlas has a good partnership with AWS, and there is no hassle in integrating the solution with any tool. I recommend users go ahead with MongoDB Atlas if they prefer to have NoSQL in their organization.
Overall, I rate MongoDB Atlas ten out of ten.
Large dataset means nothing to MongoDB
What do you like best about the product?
MongoDB does what SQL cannot do, it handles large datasets very easily. Fastest in the market to give results to even multi-lined queries. MongoDB has the largest storage making it the best feature of Database software
What do you dislike about the product?
It has many benefits which sometimes becomes a problem, it has the largest database hence it feels empty when you have small data and tend you store more and more, which eventually gets troublesome for the user.
What problems is the product solving and how is that benefiting you?
In my company, we had MySQL server and we switched to MongoDB, MongoDB allows you to store more data than any other available market tools. Hence it benefits me and my firm to store data in one place instead of multiple databases.
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