MongoDB Atlas (pay-as-you-go)
MongoDB, IncExternal reviews
499 reviews
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NO SQL at its finest
What do you like best about the product?
MongoDB has been my go-to NOSQL database for years in my daily usage. It has a lot of very good feature sets combined while not being complicated to use. It has a very good community and can be integrated with all tools, frameworks, and languages with ease. There is Mongoose which further makes its implementation very swift. It is a fast, versatile, well-maintained service.
What do you dislike about the product?
In my everyday use of MongoDB the only thing I find lacking is its ability to connect data. It's no relational sql database but querying should be made easier for users. In recent times it has moved more company-centric but that's fine as it has a very good self-hosting option.
What problems is the product solving and how is that benefiting you?
To a company of our usage, it's difficult to run and maintain traditional SQL databases that are far more complex than Mongo. We need a faster easy to use and integrated database and Mongo ticks all those boxes perfectly. Although it needed improvement to its offerings like a compass. Its atlas service is also so easy to plug and play with a lot of abilities up its sleeve.
Best Non RDBMS for better debugs for Data storage
What do you like best about the product?
Many clusters available to practice and get the output based on indexes and queries
What do you dislike about the product?
Altas connection is not much seured and not much scope of usage for free cluster
What problems is the product solving and how is that benefiting you?
Platform available to test the Database and use it in hybrid platforms.
Also microservices can be integrated with the azure platform with the database integration
Also microservices can be integrated with the azure platform with the database integration
Best Open Source NoSQL database able to store large volume data effeciently.
What do you like best about the product?
Many popular SQL-based database technologies can help us to store structured data, however, when it comes to storing a huge volume of semi-structured, MongoDB which is a NoSQL-based database is one of the best in the business. It gives us the flexibility to store the less structures business application data seamlessly.
What do you dislike about the product?
Though MongoDB can store our data in large volumes smoothly It is less flexible when it comes to retrieving that data stored in multiple collections, As MongoDB doesn't support the Join feature amongst multiple collections for data retrieval. This causes data duplication and intervention of ad-hoc back-end code to perform join manually.
What problems is the product solving and how is that benefiting you?
Nowadays, we have humongous unstructured application data being generated daily which we want to store for various business purposes. MongoDB proves useful to do this for us, It is flexible enough to store our unstructured data, Also its open-source verbose documentation really benefited me to easily start using this from day one and learn at a faster pace, Moreover, Its auto-scaling and replication features strongly enables me to have high availability of my business data across the multiple users.
Review - MongoDB best NoSQL
What do you like best about the product?
1. Its document-based system
2. queries we can use, like using APIs
3. built-in shell for Mongosh
4. It supports complex queries, aggregations and indexing.
5. Easy to establish connections; also, it keeps a history of connections by saving them.
6. It provides a theme, so it's good for a person like me who prefers dark mode.
2. queries we can use, like using APIs
3. built-in shell for Mongosh
4. It supports complex queries, aggregations and indexing.
5. Easy to establish connections; also, it keeps a history of connections by saving them.
6. It provides a theme, so it's good for a person like me who prefers dark mode.
What do you dislike about the product?
1. setting replication and high availability becomes complex as compared to sql.
What problems is the product solving and how is that benefiting you?
It basically uses documents-based JSON format, and in MongoDB, we can easily format our documents, so that's the best part.
We can easily create collections, keep many docs, and share them with other team members.
We can easily create collections, keep many docs, and share them with other team members.
The best database solution for production workloads
What do you like best about the product?
As a cloud engineer, it is challenging to recommend a database to the client without understanding their requirements and goals. However, MongoDB has made providing solutions a breeze as it is compatible with most of the use cases without significant changes to the application.
What do you dislike about the product?
The schema-less design supported by MongoDB can lead to challenges for beginners as moving from a schema-based design to a schema-less design involves many complexities.
What problems is the product solving and how is that benefiting you?
Clients having monolithic applications and schema-based database designs come up with requirements to modernize their workloads. The modernization process involves several challenges of which a major one is recommending a database that is highly scalable and available. MongoDB supports an optional schema-based design while working with a schema-less design. Thus migrating workloads becomes very easy as MongoDB is compatible with all modern languages and can be easily integrated with the applications.
Implemented mongoDB which reduced latency
What do you like best about the product?
MongoDB follows a document-oriented data model, which allows for storing and retrieving complex data structures as JSON-like documents. This flexibility makes it well-suited for handling unstructured and semi-structured data.
It provides high-performance data operations, thanks to its support for indexes, sharding, and in-memory computing. It can efficiently handle large volumes of data and perform fast read and write operations.
It provides high-performance data operations, thanks to its support for indexes, sharding, and in-memory computing. It can efficiently handle large volumes of data and perform fast read and write operations.
What do you dislike about the product?
MongoDB's memory usage can be relatively high compared to other database systems. This is due to its in-memory caching and indexing mechanisms, which aim to optimize performance but may require more system resources.
What problems is the product solving and how is that benefiting you?
We used to save order transaction for any user, this would involve multiple documents for a single order like offer application, credit application, payment initiation, order creation, payment completion, order confirmation. All these events had json strings which would be stored in MongoDB.
MongoDB: Flexible and Scalable NoSQL Database
What do you like best about the product?
One of the aspects I appreciate the most about MongoDB is its flexibility. The document-oriented data model allows me to work with JSON-like documents, making it easy to handle and manipulate data in a way that aligns with the structure of my Node.js applications.
What do you dislike about the product?
Compared to relational databases, MongoDB requires more careful planning for certain types of queries or complex relationships. Join operations, for example, are not as straightforward in MongoDB due to its denormalized approach, which can sometimes result in more complex code.
What problems is the product solving and how is that benefiting you?
MongoDB solves several problems that benefit me as a backend developer.
Firstly, it offers a flexible data model that eliminates the constraints of rigid schemas.
MongoDB's scalability and performance capabilities enable me to handle large volumes of data and high-traffic workloads efficiently.
MongoDB's integration with Node.js and its rich ecosystem of libraries streamline the development process.
Overall, MongoDB's solutions enhance my productivity, flexibility, and scalability resulting in faster development cycles.
Firstly, it offers a flexible data model that eliminates the constraints of rigid schemas.
MongoDB's scalability and performance capabilities enable me to handle large volumes of data and high-traffic workloads efficiently.
MongoDB's integration with Node.js and its rich ecosystem of libraries streamline the development process.
Overall, MongoDB's solutions enhance my productivity, flexibility, and scalability resulting in faster development cycles.
One of the greatest NoSql Open Source Databases
What do you like best about the product?
It's flexibility, MongoDB was my first NoSQL database years ago, and it keeps being as relevant as the day it came out; with its set of ever-expanding features, it's easy to integrate with many technologies, and it's flexible enough for most projects!
What do you dislike about the product?
Although it is available to deploy in cloud providers like Azure and AWS a better integration with the services of other cloud providers would be nice, in some projects I had to go for Dynamo or CosmoDB because the integration was easier with the rest of Cloud technologies from the provider
What problems is the product solving and how is that benefiting you?
Used MongoDB as a transactional database for a microservice oriented system where I integrate the DB with Nodejs, expressjs and Angular to create a MEAN stack architecture
the go-to-way for NoSQL implementation ✨
What do you like best about the product?
Simplicity & maturity of the platform. It provides decadent suites of service for many tiers and provides flexibility to grow out of restrictive database constraints.
What do you dislike about the product?
It doesn't support joins, which is a lifesaver in SQL. moreover it doesn't support foreign key as well. so its good for small project workload where quick delivery is the primary goal
What problems is the product solving and how is that benefiting you?
storing unrelated data and horizontally scalling is best handled by MongoB. you can quickly run through you POC without first defining database schema. allows fail fast recover fast mentality.
Store your data with MongoDB
What do you like best about the product?
The best thing about this DB is it can store objects and arrays, unlike mysql.
What do you dislike about the product?
Not sure why they have '__v' in every document. Also, it needs more storage than other dbs.
What problems is the product solving and how is that benefiting you?
I don't want to be restricted to structured schemas; with easy packages available and good documentation on integrating with different frameworks, I had used mongoDB.
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