MongoDB Recensioni e dettagli del prodotto

Able to manage data especially NoSql data.

Sometimes it crashes automatically and take a lot of memory.

Able to manage, analyze and handle data efficiently.

MongoDB has easy integrations and well-defined and thoroughly explained documentation and libraries. This makes almost everything for a NoSQL developer easy to use. MongoDB provides well-structured functionalities to connect schemas and data variables, making it unique to use.

MongoDB has high memory usage even for low data storage, which makes it doubtful to use for large-scale projects.

I have been doing small-scale projects which need a DB and for it to tackle situations of database management and for it MongoDB has been my best companion to manage the data. Its usage with efficient functions and features are top notch.

It is a Highly Flexible and scalable No Sql database that offers fast performance and a rich query language with its document-based data structure it allows for easy handling of complex data models and adapts well to changing business requirements its built in replication and high avilability features ensure data redundancy and fault tolerance. Mongo DB's active community and vast ecosystem make it a popular choice for developers and organization looking for a powerful versatile database solution.

while numerous adavantages, does have some potential drawbacks to consider. These include a learning curve for mastering advanced features, the lack of transaction support for complex analytics, and limitations support for complex analytics, and limitations and limitations in the free community edition. It is crucial to carefully assess these factors un relation to your specific needs and use case before deciding if Mongodb is the right database solution for your project.

It addresses the problem of solving managing. big data and provide a powerful and versatile database solution for businesses.

Ease of Use: If you use Mongodb in any project this is useful for relationships suppose you are creating an e-commerce website it is useful because there is no table-like database it stores only the data you want suppose you are creating an electronic collection so if you are using MongoDB so it contains data in json format and it consumes less space and much faster. Ease of Implementation : If you implement this into your project so that JSON format is straightforward to view, read, and write because this is similar to javascript syntax and it consumes less space and is faster and you can store data by creating schema and that relationship is also great and less coding. Number of Features : MongoDB provides a few tools: MongoDB Compass Mongo Atlas for using Online through MongoURI Mongo Terminal Ease of Integration : If you integrate this into in your project so there is module so you can install that module and you can easily integrate this with your any backend project and anywhere

So the dislike thing is you can easily store data without creating any schema and there is not default validation if you want to use validation so you have to create additionally but in the MySQL there is default validation no duplicate data will store in database but in the MongoDB there is nothing to validate but if you want to validate something so you have to use required true and so many things.

For Relationship, we can easily connect so many collections using mongoose.schema.types('collection_name') so this is a very useful MongoDB solving for us.

mongo db is more relialbe database in industry , it provides more scalable feature in databse storage. and decribe the proper steps in data which solve the query by juct in the time.

there is nothing dislike about mongoDb while using day to day in compny

mongodb solving the issue related to the policy's user bought . there information related to the policy they bought, . also solving the issue occuring the which is the stage policy stuck. that benefiting us to find exact problem of the decument or stage stuck

Ease of use, performance, scalability, architecture, ease of integration

The only topic I do not like is the comand line: very hard at the first to understand the commands!

To support the management of million of images and document on a Oracle database

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.

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.

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.

The data is easily manageable and storing the data is also very easy using MongoDB.

I am working on this software from last 1year and not facing a single issue in it.

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.

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

It's not that I don't like it, but working with transactions is a little more complicated, but it works well

Performance and working with data from multiple sources and different formats, with no defined standard

Mongodb handled unstructure data so we can store any data and as compared to mysql mongodb is easy to understand.

As I know everything is good as of now no cons from mu side

I am using in my project so it helps me alot to save the data or other database operations

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.

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.

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

The MongoDB provides state-of-the-art flexibility, scalability and performance for NoSQL, JSON-like documents with hierarchical relationships, dynamic schemas and load handling

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

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

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

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.

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.

1. Mongo Db is a NonSql data base you don't need to execute query 2. Store JSon base collection so you can story data directly that coming in REST API body 3. Lightweight it means the response is faster and takes less memory to compute 4. Take less storage 5. No worries about the relation 6. Easy to understand and easy to learn

1. Its NonSql so sometimes it's difficult to maintain 2. Less Security than SQL database 3. Some time its depends on technology like PHP if i use PHP then i use My SQL because its easy to integrate and manage for PHP technology

=> No need for extra effort for learn => directly store json so no need to map body data to require db data => take less bandwidth and fetch data fast then other db

It provides high- performance, scalable, and flexible data storage solution; it can handle large volumes of data, and it supports horizontal scaling across multiple servers, and it is also flexible in schema design

Although it is one of the easiest database management, to learn, one has to give a considerable time; also, it consumes more storage than the traditional database, and there is an increase in complexity in data modelling

It increases the scalability by handling large volumes of data and supporting horizontal scaling across multiple servers, which is not accessible on other database; it also provides real-time analytics

I have been using MongoDB for around 2 years and it has one of the easiest learning curve. I can easily integrate it via either Node or install the command line of MongoDB to get started. The documentation is greater as well which is easy to understand. Although the best thing would be that it's free to use up to a certain limit and allows scaling with ease.

The only thing I can find to dislike would be MongoDB's flexible document modal which allows schema-less data, its good for some cases but at time causes some complexity when a lot of relations are required between documents.

I have been using MondoDB to store data that I have migrated from other SASS platforms and I retrieve those data frequently because of this I prefer MongoDb since this is one of the best things about it. MongoDB allows fast query fetching and data retrieval. It pairs easily with my backend application built on node with its packages like Mongoose and makes my development process hassle-free. Also importing data with mongo import is very handy.

modern database and easy coding for devloper json based db native failover

not good for oltp slow backup and taking long

document database and easy

MongoDB is open source and easy to use, so we don't need to configure more.

In Mongodb, It is hard to understand the mapping between SQL and NoSQL.

Chat based application can be solved using mongodb.

I am using mongoDB to build available and scalable internet applications. Being a student it is really helping me to do software realated things easier and in quicker way.

There is nothing to dislike about this organization as it is providing reasonable quality service to its customers and i hope no one dislikes it .Thank u mongoDB

MongoDB allows me to store data in a flexible and dynamic way, making it easier to adapt to changes in my application's data model over time.It is designed to scale horizontally across multiple servers.

The fastness with which I can manage my unstructured data is the best. And no restrictions towards the schema, which enables me to create and manage my data very easily. Constructing complex queries, even with aggregation, is very simple. Finally, appreciate the compass for beginners

One of the advantages may become a disadvantage i.e. schema-less design for creating a collection may lead to chaos, once the data grows in leaps and bounds

We are using it for managing all our unstructured data, especially huge number of logs generated in our projects, by various applications and servers