MongoDB

Avantages

L'interface de MongoDB Compass est vraiment très pratique et très design pour ce genre d'outil. La rapidité de MongoDB est clairement sa force première

Inconvénients

La gestion des indexes est bien plus compliquée à prendre en main que sur les SGBD relationnels

Avantages

Mongo permet le stockage des objets JSON, contrairement à MySQL.

Inconvénients

Impossible de faire de base de données relationnelles avec Mongo.

Avantages

Best part that i like in mongodb was It's speed and large number of build in functions. So i don't need to add each and every time custom function for searching or filter. Also they store the database best cloud platfoms(AWS, Google Cloud, Microsoft Azure). that makes my data were are safe. It beginner friendly also.

Inconvénients

There are not that much i don't dislike about the mongodb.

Avantages

easy to use, with a few steps you can integrate it into a backend and it's very reliable

Inconvénients

at the moment I have no complaints about the product

Avantages

It's capacity to store data in JSON like documents and ability to handle large volumes of unstructured and semi-structured data.

Inconvénients

It's interface can be improved little bit for easier and faster access.

Avantages

Can use a free version of it. And does allow clustering of it inclusive.

Inconvénients

Compass client tool is useless versus other DB software tools. Pretty much all cli based access ot the collections within

Alternatives envisagées 

Pourquoi passer à MongoDB

Avantages

Data storage, organization and maintenance.

Inconvénients

Due to memory issues, I’ve seen duplicate data being created most times.

Avantages

It is ideal for environments with few computing resources
Any server or any personal computer can be used to set up MongoDB and have a server for your projects.

It has very good documentation, very extensive and detailed compared to other NoSQL databases.

Inconvénients

Not a suitable database for applications with complex transactions.

Despite being widely used today, it is still a young technology.

It does not allow Joins for queries, that is, queries in which different tables are combined or related.

Avantages

The flexible schema and document-based data model reduced the need for complex schema migrations. It also has innovative indexing features which enable high performance for queries.

Inconvénients

The accompanying GUI tool - Compass - is not very intuitive and needs some getting used to

Avantages

While developing application using Node.js, using Mongo helps a lot since the JSON like data is really easy to query.

Inconvénients

Since the data is non-tabular, sometimes applying joins using aggregation becomes complex.

Avantages

I think the most impactful thing about MongoDB is the freedom you have when working with a non-relational database, performing at high speeds whenever you need it the most. It's incredibly useful and complete, making it one of the best at what it does.

Inconvénients

I think some features could be improved, like filtering accesibility or some helping-tools for non-technological users, the learning curve is too steep I feel, that you need to support and encourage those users to fill that gap.

Avantages

I fell in love with the ease of use and simplicity of software

Inconvénients

I have no negatives with MongoDB. I just feel a lot more publicity is needed where I come from

Avantages

Ease of use.
Customer support and documentation.
Speed and functionalities.
Flexibility.

Inconvénients

May be hard to maintain if the structure is created in the wrong way.
Beginners may get lost in more complicated queries

Avantages

I like the Atlas Cloud solution. It enables various tricks and cross-integrations of single database between multiple apps (containers) with simple user management - for a reasonable price.

Inconvénients

I cannot get over this Atlas Compass UX issue - I want to open at least two "tabs" with collections at the same time. This is not possible and even worse, when you switch between collections, thee state is completely reset.

So I'm compiling the search query carefully with all the commas, brackets and identifiers, I often need to search for ID from another collection or maybe from the same collection. When i change collection scope -> BAM! The whole query is gone :( The input should retain its actual value...

Second "issue": When it comes to schema changes in living DB, sometimes it behaves unexpectedly (no error, no data). Maybe I'm doing something wrong, but I would like to know it...

Alternatives envisagées 

Pourquoi choisir MongoDB 

Logiciel antérieur 

Pourquoi passer à MongoDB

Avantages

Store large amount of data using NoSQL.
I've seen it as the best for big data.
It is flexible and helps to store data in document format.
It is providing high performance and better solution of storing data.

Inconvénients

Although it can store large data seamlessly but it is less flexible when it comes to retrieving that data stored in multiple batches.

Avantages

-Been using it from more than years now, very much quick and easy to use product.

Inconvénients

Nothing much to specify. Everything is good.

Avantages

Mongo db is a document oriented database and we can store unstructured data like json data as documents in the db. Syntax is not that difficult to learn and we can write powerful queries to retrieve data. This make sure the data is available even in a scenario like network failure. Even though we are dealing with huge amount of data, still the database performance is high.

Inconvénients

The only concern I saw was that the database highly rely on the RAM.

Avantages

MongoDB is great for handling lots of changing data and growing bigger when you need it to.

Inconvénients

Sometimes, it might not save data safely, and it can have trouble handling complex data operations. Also, it uses up a lot of memory

Avantages

I see lots of benefits in mongo db over relational databases in the market. The main thing is the rich querying capability where we can write very complex queries without degrading the performance of the application. Mongo db is somewhat new to the industry and it is updating day by day and whenever I have a doubt, there is a strong community to ask from.

Inconvénients

When I was learning mongo db, what I felt was the complexity of understanding things mainly theories.

Avantages

I love how MongoDB integrates with code in such a way that queries look just like any other code. I also love how the documents from MongoDB are returned natively to Node.JS as objects without any mapping at all. MongoDB is an intuitive and very performant database, I recommend trying it if you haven't.

Inconvénients

The big thing with MongoDB you have to get your head around is the whole redundant data thing - it is usually recommended that you store a lot of redundant data in your documents instead of having data normalised with relationships as you would in a relational DB. Have redundant data can make your query code really simple, but it can make your update code very complex / cumbersome. However, you can opt out of this approach and use MongoDB with relationships - I would recommend using Mongoose (an npm package) that will handle a lot of the work with relationships for you.

Avantages

I don't usually rave about products, but I do about MongoDB.
* MongoDB's schemaless document-centric approach to database makes it easy to store any kind of data I need to, even subdocuments and array fields with minimal fuss within code or tools. This allows for a lot of flexibility and makes it easy to upgrade or refactor existing software.
* MongoDB's indexes provide amazing performance even in a schemaless world. Simple and compound indexes, as found in the relational database world, are just the start. Add to that multikey indexes (indexes over array fields), string and geolocation indexes, and indexes where entries expire documents with time. Mongo has it all.
* MongoDB's approach to scalability - using replica sets for high availability and fault-tolerant failover and sharding databases over a potentially large number of servers - makes it easy to scale huge amounts of data without overly expensive hardware and failover complexity.
* MongoDB driver support is available for a variety of languages.
* Mongo University, free graded courses covering various aspects of MongoDB from development to administrative activities to security, etc., offers a solid path to learning.

Inconvénients

I'm a huge proponent of MongoDB but because of the nature of schemaless document-oriented databases, there are still some problems for which a relational database is still the answer. There are some applications and technical domains where relational databases still have a huge lead over Mongo for performance.

Avantages

Mongo DB is non relational database (NoSQL). It is a document database. it has good query capacity. Very easy to install and setup Mongo DB. Also Mongo DB is schema-free, there fore our software (code) defines the schema. It support BSON data format, there fore no complex to write code with mongo db (most of programming languages support BSON data format. We can index the mongo collections and increase the query performance

Inconvénients

When we need to query using two mongo collections (join two collection), we can use lookup feature. but the problem is Mongo DB lookup feature is slow. Also we have no option to run query among two or three collections like as Elastic Search. When we using Elastic Search we can run query among two or three indexes(collections). There for in Elastic Search we can move historical data to separate collections and improve query performance. if we need query with historical, Elastic Search support it. But using Mongo DB we have to handle it in programming side.

Avantages

The interface of the application is simple and user-friendly. The application is easy to use. You can perform all your operations regarding the database.

Inconvénients

There is nothing wrong with the app. It's nice to have the visualization feature added.

Avantages

MongoDB is a great and fresh database server that allows you to create and use non-relational databases, that means; you can store the data in JSON format object. Being an amazing and handy tool that will be compatible with almost every type of development.

Moreover, MongoDB features cloud services, allowing you to create and use cluster and triggers, also a tool for monitoring. Furthermore, Mongo uses hooks systems that offer you the option of use CRUD requests and customize the behavior of your database and the way that your models interact.

Inconvénients

For novices or junior developers, the setup of mongo and its services will be hardy, being essential have some basic knowledge about how MongoDB and the non-relational databases work. For this scenario, MongoDB has a complete, and handy Documentation that explains every service and gives you examples about using the databases and its services.

Avantages

The most liked part about MongoDB is that it is free to use a tool for databases and suitable tools for developers. MongoDB is a good tool for developers to run the query.

Inconvénients

The least liked part about MongoDB is that it does not use a relational database. It is straightforward to understand the database and flow.