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.
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Fast, fast, fast, and agile
Commentaires : Very positive. I will likely use MongoDB on every future project of moderate to extreme complexity.
One of the most difficult parts of software development, especially with complex projects, is keeping the software maintained. As business requirement change, the effort required to make those changes grows over time. MongoDB opened up a whole new world for me. I can make structural changes to my underlying data with ease without too much modification the data access layer. It reduces initial development significantly, and allows my team to pivot to new requirements with unprecedented ease. Because related data is encapsulated, queries are much faster, and our software is extremely performant. Highly recommended.
The tooling isn't great. Compass is a decent tool for accessing and lookup, but it lacks polish. It's slow to start up and sometimes difficult to pull up the data I'm seeking
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.
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.
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.
Mongo allows you to take off easily, but makes it harder to do more advanced analysis.
-Easy Setup -Getting simple data in/out is painless & straightforward -Basic analytics are easy, as is managing multi-server clusters
-Working with complex data is a difficult. -Many original features or design choices were incorrect and slow to be corrected. For example, timezone support is minimal and days/dates/months use a custom numbering rather than ISO. Mongo is only now adding ISO versions of aggregation commands
Maybe my new favourite way to store data
Commentaires : Very positive, allowed me to run a website with many many thousands of data entries, and all the usual features like relations and performance management that you would come to expect from a tool like MongoDB
Object oriented data storage is quickly becoming more popular and MongoDB makes it very easy to dip your toes into, and its blazing fast.
Adoption while fast, is still not there globally which means often resources on the web can be a bit scarce when compared to other database types.
MongoDB Compass is a good entrypoint to using MongoDB
Commentaires : Generally positive, but if I run into issues, I just fall back to the command line.
It's a very pretty interface, and it's easy to connect to the Database instances that are available on my workstation. There are lots of wizards and buttons that make it easy to structure queries and get to the data I'm looking for. There's a lot of community docs around the tool.
It's difficult to execute a console script, or import data if it came from another install. There are some things you'd expect to be able to do, that don't work they advertise them. Deep data objects often cause problems while importing them, and I usu. just get frustrated and get Robo3T and move on.I don't like how they're kind of obfuscating what's going on underneath the query. I wish there were more verbose output on what's happening during execution.