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Unclaimed: Are are working at MongoDB ?
MongoDB is a NoSQL database that supports scalable, and high-performance data storage solutions. The platform’s automatic sharing features combined with real-time analytics and horizontal scalability empower businesses with efficient data management.
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Deployment | Cloud / SaaS / Web-Based, Desktop Mac, On-Premise Linux, On-Premise Windows |
Training | Documentation |
Languages | English |
Compare MongoDB with other popular tools in the same category.
Easy to use and different features like geospatial search
Overall product is good but the price of client tool is more.
Our team's main DB was Mongo. We were storing all the hotels data in Mongo
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.
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".
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.
Easy to use User Interface, easy to use for the professional with even less SQL expertise, and has a vast range of integration with Platforms.
There is not much to dislike in the Application. There need to be alerted if Robo 3t is not compatible with MongoDB. For now, it just fails in connecting but never gives the right message.
We are using it for storing API inventory data of the client, which we are using with the Springboot application for the client's inventory management system.
The website allows you to quickly spin up a database on their cloud for free, making it extremely easy to get started. The compass app for desktops makes for a great experience browsing and editing documents in the database. Also, the documentation and packages available for MongoDB are very easy and great to use!
Sometimes some weird connection bugs come out of nowhere, making it impossible to connect to the database from a specific IP even though the IP is whitelisted.
I am using MongoDB for multiple of my coding projects. I have been able to use it very easily with my applications, the compass app makes it very easy to preview and debug issues compared to many other alternatives out there such as Google Firestore or SQLite3.
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.
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.
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.
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.
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.
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.
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.
Couldnt find anything which I dislike about mongodb it's super fast and easy to use.
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
MongoDB provides no sql based database structure which is very useful now a days.
No foreignKeys, Primary keys, it causes extra load on queries due to lac of joins
Scalability Large data manage fast query response with indexes
First of all it's free. Although it is free, it gives the best solution for big data management. Also it gives an option that compress big amount of data into smaller sizes.
Some features are unfortunately not free. That premium features are so expensive.
I reduced the size of my big database with MongoDB.
Json data can be put, Schema need not be defined. Great api support with JavaScript and python. User friendly and Scalable
Not easily available in cloud services like aws like RDBS. Need to do lot of configuration in server
Building e commerce sites. Storing user data and storing many custom application data