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

The ease of use and the community behind the product. It’s always growing and there are a ton of resources on the web.

Inconvénients

The ACL handling is not as easy as it should be, but this could be a subjective point of view.

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

MongoDB provides several useful features, the search/filter feature is really fast and optimized, it's good for small and big databases.

Inconvénients

The interface of MongoDB is quite confusing when set up.

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

MongoDB has integrations with almost all computer languages used today, with even having an integration with Erlang (a very rarely used language). The drivers are easily available from open source contributors and works amazingly well. For a No-SQL database, it is amazingly well managed and easier to use in almost all other languages.

Inconvénients

Its sort of confusing to manage the access control levels of the users, as it is all stored in json file. If there was a way to sort of make this process graphical or interactive, it would have reduced many access threats in a database.

Alternatives envisagées 

Pourquoi choisir MongoDB 

Pourquoi passer à MongoDB

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 known for its high-performance capabilities. It can handle large amounts of data with ease and is highly scalable, making it an ideal choice for enterprise applications.MongoDB offers a comprehensive set of APIs and drivers for popular programming languages, making it easy for developers to work with. It also has a powerful query language and supports a variety of data types.

Inconvénients

MongoDB can be memory-intensive, especially for large datasets. This can make it challenging to scale horizontally without significant hardware investments.Some advanced features, such as backup and recovery, are only available in MongoDB's enterprise edition. This can be a limitation for organizations that cannot afford the cost of enterprise licensing.

Avantages

Scalability is one of the primary and most useful feature of MongoDB, MQL (MongoDb Query Language ) is widely supported by different programming langauages.

Inconvénients

Does not support Transaction feature like MySQL.

Avantages

MongoDB provides flexibility to use any kind of JSON data. It is highly reliable and offers unique scalability.

Inconvénients

Even though MongoDB is a power tool, It is back-breaking to setup and the learning curve could be sharp.

Avantages

I have been using MongoDB for several years now and I have to say, I am impressed with its flexibility and scalability. The query language is also quite simple and easy to use. I also appreciate the support for multiple programming languages, which allows me to interact with MongoDB using my preferred language. Overall, I highly recommend MongoDB for anyone in need of a flexible, high-performance, non-relational database management system.

Inconvénients

I have been using MongoDB for some time and I have to say, it has a few limitations. The lack of support for transactions across multiple documents can be an issue for some use cases. Also, the process of setting up indexing and querying can be a bit complicated, it requires a good understanding of the data and access patterns. And the lack of native joins can be a limitation in certain scenarios where data is highly relational

Avantages

MongoDB gives us a simple and intuitive API, which makes it easy to work with the data. allows for easy and intuitive data manipulation and querying, making it a great choice for projects that involve large amounts of unstructured or semi-structured data.

Inconvénients

if the indexes are not properly set up or maintained, it can lead to errors or poor performance.

Avantages

I switched to MongoDB and I'm so glad I did! I used to dread managing my databases, but now it's a breeze. MongoDB is incredibly efficient and user-friendly, making it easy for anyone to use. It's also highly reliable and secure, which is very important for me. I can now easily store, manage, and query data without any hassle or confusion.

Inconvénients

No hiccups: MongoDB has been working without any issues for me.

Avantages

I am utilizing MongoDB for deploying and storing document database which is one of the most significant categories of the NoSQL DB. Indeed, it encapsulates the data in BSON which is similar to JSON but with a BSON id. Moreover, MongoDB offers a very significant functionality, it supports the file storage. Unlike the relational database, it exempts the data from having a required schema. It provides libraries in numerous languages (i.e., java, python...) to connect with it.

Inconvénients

I have not experienced any difficulties when working with MongoDB, however when building a sophisticated query with multiple joins it takes more times and it is normal as it is not a relational database.

Avantages

Features like load balancing and distribution are great. Implementation is easier for a data model that is not relational

Inconvénients

There are limitations when it comes to querying and transforming data with consistent speed

Avantages

Are the restrictive features of all classical databases hindering your goals? Then I suggest you try MongoDB. We get much more efficient and faster results in my personal projects that I started for social support projects. You can see the results when you compare the performances you get in the trial version. Multi-language support and programming solution are also extremely important. Being open source also makes it scalable.

Inconvénients

You will need a lot of query techniques and software for relational databases or your queries. Data duplication can be multiple.

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.