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Most versatile NoSQL data platform
What do you like best about the product?
MongoDB is not just a basic NoSQL offering; it caters to the needs of a simple small web app to a complex production application. The ability to store and manipulate document data, geodata is what makes it stand out.
What do you dislike about the product?
MongoDB can be complex to configure and maintain if you're hosting a large production cluster by yourself. Using a hosting provider like MongoDB Atlas can make things easier but very expensive.
What problems is the product solving and how is that benefiting you?
I'm using MongoDB to run multiple user-facing and internal platforms in the domains of e-commerce, social media, cms. These platforms share multiple microservices in the backend. A single PSS MongoDB cluster has provided enough resilience and performance to run everything without a hiccup.
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MongoDB is a near-perfect nosql document-orientated database that is a pleasure to work with
What do you like best about the product?
What I like best about MongoDB is that it is so easy to work with when using some dynamically typed language like JavaScript. I have worked for years with statically typed languages like C#, and when working with databases, the mapping between data and objects is very cumbersome and tedious. Pulling data out of MongoDB in the form of a JSON object into JavaScript feels very native - there is no mapping - what you pull out is what you get in JS.
What do you dislike about the product?
The general best practice of having redundant data in MongoDB documents is quite a learning curve and not always intuitive when implemented. What I really don't like is the split in the community consensus as to if you should or shouldn't have redundant data in documents or use the alternative: "relationships".
What problems is the product solving and how is that benefiting you?
MongoDB solves the need for persistence for my Node.JS application. I have found it really efficient to develop with because it solves the problem of mapping between data and objects in your software - it solves this by not requiring any mapping whatsoever.
The Best Database system available on the Intenet right now, Simple, Scalable, Versatile.
What do you like best about the product?
Ease of Use - Effortless to set up and use; the official documentation is to the point and always updated.
Simple Learning Curve - It's straightforward to learn.To get started, It won't take more than 2-3 days.
Easy to Migrate - As it's NoSQL, you can migrate from any system to MongoDB without many problems.
Community Support - As it has been there for more than half of a decade, the community support is amazing.
Scalability - MongoDB is built for big applications, so load balancing, sharding, etc many powerful features it possesses that make it super scalable.
Simple Learning Curve - It's straightforward to learn.To get started, It won't take more than 2-3 days.
Easy to Migrate - As it's NoSQL, you can migrate from any system to MongoDB without many problems.
Community Support - As it has been there for more than half of a decade, the community support is amazing.
Scalability - MongoDB is built for big applications, so load balancing, sharding, etc many powerful features it possesses that make it super scalable.
What do you dislike about the product?
I have been using MongoDB for the last four years and haven't faced any significant issues. And whatever hurdles I met were resolved by the experts or community. So No, I don't have anything to dislike about MongoDB.
What problems is the product solving and how is that benefiting you?
I work in the Agritech Industry of India, where we deal with a massive amount of real-time weather data. So following are the benefits I have realized from this -
1. Almost zero latency DB operations
2. Having a geographically local instance made sure that data was available to the stakeholders without any delay.
3. While we have been getting a newer user base, and we need scaling, we used both inbuilt query optimizer and vertical scaling.
1. Almost zero latency DB operations
2. Having a geographically local instance made sure that data was available to the stakeholders without any delay.
3. While we have been getting a newer user base, and we need scaling, we used both inbuilt query optimizer and vertical scaling.
MongoDB makes web apps easy
What do you like best about the product?
By using MongoDB, paired with react, express, and node, you can quickly build web apps that meet or exceed customer expectations. MongoDB cloud allows you to stand up a cloud mongoDB instance that you can connect to with a database url, and has a free tier available. I highly recommend the MERN stack to anyone who will listen.
What do you dislike about the product?
It can be difficult to wrap your head around noSQL data structuring. It is not as intuitive as SQL based solutions. As your application grows, it can become complicated to make meaningful queries of your data.
What problems is the product solving and how is that benefiting you?
MongoDB's strength is in rapidly standing up a noSQL database. I have evaluated multiple options and nothing comes close to the speed an ease of mongoDB. I cannot say that I recommend it as an organization grows, however. It may not have everything you would need to reach a high level of scale.
Strong NoSQL candidate. Easy to use, and works well with various needs.
What do you like best about the product?
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.
What do you dislike about the product?
There isn't anything I particularly dislike, but I believe their GUI applications could use some more refining (MongoDB Compass).
What problems is the product solving and how is that benefiting you?
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.
Immediate response database
What do you like best about the product?
The connection is stable and fast response in request of data, data in JSON format.
What do you dislike about the product?
Grouping and configuring different number of Clusters is difficult to do.
What problems is the product solving and how is that benefiting you?
The first benefit is the speed of response and the special Cluster configuration for greater security.
Best scalable and flexible Database
What do you like best about the product?
Easiest way to deploy, operate and scale
What do you dislike about the product?
To easy to run query and get large database JSON based
What problems is the product solving and how is that benefiting you?
Storing Large data in mongo db and performing different operation as normalisation
Recommendations to others considering the product:
I definitely recommend MongoDB as document database
No SQL required
What do you like best about the product?
What I like best is that schemas are optional. Schemas (usually required with SQL-based databases) can be very time-consuming. Mongo free you up and allows you to create a database based on documents.
What do you dislike about the product?
You really have to get used to the idea of not using schemas (with traditional databases) and that can take a while. Monogo requires a third-party cache to help it perform.
What problems is the product solving and how is that benefiting you?
One of the biggest problems being solved is that I can perform a transaction within a single document.
best document based database
What do you like best about the product?
MongoDB is a scalable database with flexible schema
What do you dislike about the product?
MongoDB documents limit to 16MB only and also consumes lots of memory
What problems is the product solving and how is that benefiting you?
MongoDB is used for its scalability in nature. We can add any field at runtime
Very fast processing noSQL database
What do you like best about the product?
Mongodb is very fast and perform it's duty as expected any nosql database.
Here table is known as a collection and no need to implicity tell the datatype of each variable. It can take automatically because it save as records and all data is store as a document.
If is difficult to make sync with relational and non relational database as both have different schema.
Here table is known as a collection and no need to implicity tell the datatype of each variable. It can take automatically because it save as records and all data is store as a document.
If is difficult to make sync with relational and non relational database as both have different schema.
What do you dislike about the product?
Couldnt find anything which I dislike about mongodb it's super fast and easy to use.
What problems is the product solving and how is that benefiting you?
I have rest api in my project so I used default mongo library in go to communicate with it an to perform curd operation.
Queries were quite simple and easy to use and understand
Queries were quite simple and easy to use and understand
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