17 ans à aider les entreprises françaises
à choisir le meilleur logiciel
MongoDB
Description de MongoDB
En offrant le meilleur des bases de données traditionnelles ainsi que la flexibilité, l'évolutivité et les performances dont les applications d'aujourd'hui ont besoin, la solution permet aux innovateurs de déployer des applications aussi vastes que possible. Des start-up aux grandes entreprises, pour les systèmes modernes et critiques, MongoDB est la base de données des idées géantes. Pour plus d'informations, rendez-vous à l'adresse suivante : www.offerslook.com.
Qui utilise MongoDB ?
MongoDB est destinée à la fois aux start-up et aux entreprises leaders du secteur, aux sociétés du Fortune 500 et aux agences gouvernementales.
MongoDB ne vous convainc pas tout à fait ?
Comparer avec une alternative populaire
MongoDB
Avis sur MongoDB
Un excellent SGBD No-SQL
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
Avis - Mongo DB
Avantages :
Mongo permet le stockage des objets JSON, contrairement à MySQL.
Inconvénients :
Impossible de faire de base de données relationnelles avec Mongo.
Agrxis Review on MongoDB
Commentaires : My time using MongoDB has been excellent. MongoDB has become my go-to database choice because I work with data a lot. I have been able to handle a variety of rapidly changing data requirements with ease thanks to its flexibility and scalability. I like the document-based paradigm since it fits my data's dynamic nature nicely. I've been able to swiftly adapt and iterate thanks to the ability to store and query data in a schema-less manner. It has never been easier to obtain and analyze data effectively because to MongoDB's robust query language and indexing capabilities. My development process has been sped up by the easy connection with well-known programming languages and frameworks, allowing me to concentrate on creating strong and feature-rich applications. Along the road, any problems I met into were also greatly helped by the active community and thorough documentation. As a result, MongoDB has significantly changed the way I work with data by giving me access to a dependable, scalable, and adaptable database solution that meets all of my requirements.
Avantages :
MongoDB's unmatched flexibility and scalability are what I liked best about it. MongoDB has changed the game for me as someone who deals with continually evolving data formats and requirements. The document-based architecture enables me to store data in a manner that closely resembles the entities and connections seen in the real world, making it highly intuitive and simple to use. The dynamic schema gives me the flexibility I need to iterate quickly by allowing me to modify and develop my data model without being constrained. MongoDB's extraordinary capacity to scale has proven invaluable in helping me manage increasing data volumes and high-performance applications with ease. With MongoDB, I have the flexibility to scale horizontally with sharding or vertically with replica sets to match my changing demands. Additionally, data retrieval and analysis are now a snap because to the robust query language, numerous indexing options, and aggregation architecture.
Inconvénients :
If I had to pick one thing about MongoDB that I disliked the least, it would be the steep learning curve that comes with its sophisticated capabilities and intricate setups. MongoDB is a strong and feature-rich database that offers a variety of capabilities that may take some time and work to completely understand and efficiently use.
Alternatives envisagées précédemment :
Great data storage solution with space for improvement
Commentaires : Using MongoDB for years, mostly as local storage in docker containers. Latest project is based on cloud solution.
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 précédemment :
Cheap Mongo DB
Commentaires : Built several multi-node clusters for data warehousing for ETL tools. Had a lot of issues early on to get it working. Documentation 2 years ago + was spotty but now its a lot better. Not to mention the software has evolved to include features sorely missing awhile back. We moved away from thsi product as it doesnt allow backups as robust as MSSQL and oracle but its great for certain types of data needs.
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