For MongoDB as a service, there are two distinct ways to use it: as a personal user, where one can register on Atlas and experiment with its features; and as a professional, where one can use it for backup management, environment management, and creating figures. Additionally, MongoDB Atlas has features such as data lake capability, the ability to create charts from queries without using other BI tools, and Apache Lucene for text search. I have experimented with these features, but I have not used them professionally. The most relevant use for me is managing backups. Atlas MongoDB also allows for making REST calls and creating applications with triggers, although I have not used it for programming applications much.
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Reviewing MongoDB
What do you like best about the product?
MongoDB provides a flexible data schema that makes it simple for developers to store and manage unstructured data. It is an excellent fit for applications with constantly changing data because of this property.
Scalability: When the amount of data in a cluster increases, new servers can be added because MongoDB is horizontally scalable. This makes it simple to scale programmes as data needs increase.
High Performance: MongoDB can deliver high read and write throughput and is built to manage large volumes of data. As a result, it works well for applications that need high performance.
Scalability: When the amount of data in a cluster increases, new servers can be added because MongoDB is horizontally scalable. This makes it simple to scale programmes as data needs increase.
High Performance: MongoDB can deliver high read and write throughput and is built to manage large volumes of data. As a result, it works well for applications that need high performance.
What do you dislike about the product?
Absence of Transactions: Before to version 4.0, MongoDB did not enable multi-document transactions. Earlier versions of MongoDB had limited support for transactions, however, this is no longer a problem.
Data durability: Although MongoDB's write performance can be extremely quick, the system depends on an in-memory write operation, which could result in partial data loss if a failure happens before the data is written to the disc. MongoDB features a write concern option that enables developers to specify how many servers must approve a write operation before it is considered complete in order to ensure data durability.
Restricted Aggregation Functionality: MongoDB has a robust query language, but it has some restrictions on the ability to do complex analytics and aggregations. The application layer may need to perform additional processing on some complex aggregations.
Data durability: Although MongoDB's write performance can be extremely quick, the system depends on an in-memory write operation, which could result in partial data loss if a failure happens before the data is written to the disc. MongoDB features a write concern option that enables developers to specify how many servers must approve a write operation before it is considered complete in order to ensure data durability.
Restricted Aggregation Functionality: MongoDB has a robust query language, but it has some restrictions on the ability to do complex analytics and aggregations. The application layer may need to perform additional processing on some complex aggregations.
What problems is the product solving and how is that benefiting you?
Scalability: MongoDB's ability to expand horizontally across numerous servers, enabling the processing of huge datasets and high-volume workloads, is one of the main advantages of adopting MongoDB. Without having to make large changes to the underlying database architecture, this is especially helpful for applications that need to scale dynamically with changing data needs.
Versatile Data Model: The document-oriented data model used by MongoDB is very flexible and enables the storing of unstructured and semi-structured data, which can be difficult to manage in typical relational database systems. For modern, data-intensive applications that need the capacity to store and retrieve data in a flexible and dynamic way, this makes it the perfect option.
Versatile Data Model: The document-oriented data model used by MongoDB is very flexible and enables the storing of unstructured and semi-structured data, which can be difficult to manage in typical relational database systems. For modern, data-intensive applications that need the capacity to store and retrieve data in a flexible and dynamic way, this makes it the perfect option.
Easy to deploy, scalable, and has great technical support
What is our primary use case?
How has it helped my organization?
It has a good easy to use gui and the ability to do most of the management operations under automation
What is most valuable?
The most useful feature is the management of the backup. I use a managed tool offered by MongoDB to manage an on-prem environment and compare it with the SaaS service and software. The solution is very ready-to-use and it is much simpler to manage backups, which cuts down on the amount of work and stress. However, at least two other features should be mentioned in the current versions. Search integrated with Lucene and the possibility of storing vector data.
What needs improvement?
There are some Mongo new features that could be useful for the customers I work with, which are related to migration from on-prem to the cloud. MongoDB is currently working on these features. With the latest version of Mongo, there are new tools that help with migrating. However, currently, only Mongo can use these new features. Soon these migration tools should be released to the public and could really assist with migration also from SQL on-prem environment to Atlas.
For how long have I used the solution?
I have been using the solution for four years.
What do I think about the stability of the solution?
The solution is very stable.
What do I think about the scalability of the solution?
I give the scalability a nine out of ten. MongoDB is very easy to scale and with Atlas, it is possible with a few clicks and configurations.
How are customer service and support?
The technical support team is skilled, prepared, and really helpful.
How would you rate customer service and support?
Positive
How was the initial setup?
The initial setup is straightforward. Only one person is required for deployment.
What's my experience with pricing, setup cost, and licensing?
For me, MongoDB Atlas could be expensive as every cloud service because I don't have many other terms of comparison, but I think it is not so expensive for customers. In the end, they may be able to save money rather than buy it on-premise however, on-premise, they do not have access to all the features that Atlas exposes. The costs are similar to having a cloud provider and if we look at the short-term, there is a real saving of money investing in their service instead of making it on-prem in the same scenario.
What other advice do I have?
I give the solution an eight out of ten. I am not familiar with other SQL databases on the cloud. I know that Atlas is quite stable and the service is good, providing customers with all the necessary features to use it as a service. MongoDB Atlas is integrated and available on Google, AWS, and Azure.
I advise people to take advantage of the free courses from MongoDB University that are very well done to gain a general knowledge of MongoDB. Therefore, if someone has no experience with Mongo, they can get great preparation for the MongoDB University course without spending any money.
Which deployment model are you using for this solution?
Public Cloud
MongoDB a high-level database
What do you like best about the product?
We like Mongo DB because it is open source and can integrate with multiple data sources, making it scalable, reliable and easier than ever to handle large amounts of sparse data.
What do you dislike about the product?
The only drawback of using a MongoDB cluster is that you cannot directly download a copy of all the information stored there or you do not know how to do it.
What problems is the product solving and how is that benefiting you?
We are impressed by the fact that MongoDB is extremely scalable and fast compared to other databases and can store data in a dynamic format.
Easy To Use
What do you like best about the product?
Easy to use and perform queries. Faster data export and import
What do you dislike about the product?
Aggeration, and join operations takes too much time
What problems is the product solving and how is that benefiting you?
Saving the client's medical history and reports, providing updates to every system on any changes
Best NoSQL Database
What do you like best about the product?
MongoDB is faster, safer and easy to query compared to normal SQL databases. We are using MongoDB for more than 3 years now never faced any big issues with security or data storage!
What do you dislike about the product?
Auto-scaling in MongoDB is slower compared to other databases so sometimes we face a downtime while loading heavy task wish the auto-scaling feature gets improved in the future version of MongoDB
What problems is the product solving and how is that benefiting you?
We use MongoDB to store everything in our panel it's been over 3 years we never looked back. MongoDB increases our security as well as data storage options. The customer support of MongoDB is also awesome!
MongoDB Review
What do you like best about the product?
It is a fully documented DB where there are no relationships and can insert data in JSON format with n number of fields.
What do you dislike about the product?
As there are no relationships, sometimes it is difficult to search a particular data and that is time-consuming.
What problems is the product solving and how is that benefiting you?
It is data base where we can store the bulk of data in JSON format.
MongoDb : Meilleure base de données disponible sur le marché
Qu'aimez-vous le plus à propos de the product?
MongoDb est une base de données NO SQL et est un outil open source.
Que n’aimez-vous pas à propos de the product?
La consommation de mémoire est trop importante dans le cas de MongoDB par rapport aux autres bases de données.
Quels sont les problèmes que the product résout, et en quoi cela vous est-il bénéfique?
MongoDb est une base de données très flexible et rapide, et elle est facile à utiliser.
Examen de MongoDb
Qu'aimez-vous le plus à propos de the product?
La meilleure chose à propos de MongoDb est que nous pouvons stocker n'importe quel type de données en créant notre propre type de données. La connexion avec d'autres outils en utilisant l'API est également simple. Les syntaxes sont faciles à apprendre.
Que n’aimez-vous pas à propos de the product?
Les requêtes d'agrégation complexes sont difficiles par rapport à SQL. Sur une collection partagée, la transaction n'est pas prise en charge. La documentation n'est pas conviviale, elle sera déroutante.
Quels sont les problèmes que the product résout, et en quoi cela vous est-il bénéfique?
Il a un rythme de développement rapide car il est sans schéma. Il simplifie également la modélisation de jeux de données complexes et non relationnels. La réplication des données est également rapide et facile.
Mongo DB for Software Developers
What do you like best about the product?
When I used the MongoDB, the thing which I liked the most about it is that it provides the charts that shows database operations, queues, network traffic, connections and memory over time and it also provides an option to see system load on each collection.
What do you dislike about the product?
The thing which I disliked the most is there is no support for the join tables and it is expensive to use for the small scale projects.
What problems is the product solving and how is that benefiting you?
With the help of MongoDB we are able to use it for the storage of data, retrieve it easier and it also gives us support to view the performance charts.
Superbe base de données noSql
Qu'aimez-vous le plus à propos de the product?
Grande communauté pour l'aide
Tutoriels gratuits partout
Performant pour les transactions en temps réel et sans repos
Tutoriels gratuits partout
Performant pour les transactions en temps réel et sans repos
Que n’aimez-vous pas à propos de the product?
Il n'y a rien à ne pas aimer à propos de MongoDB, l'une des meilleures bases de données NoSQL.
Quels sont les problèmes que the product résout, et en quoi cela vous est-il bénéfique?
traitement en temps réel
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