I am impressed with the tool's integrations.
MongoDB Atlas (pay-as-you-go)
MongoDB, IncExternal reviews
515 reviews
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External reviews are not included in the AWS star rating for the product.
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.
An open-source product with good integration capabilities
What is most valuable?
What needs improvement?
The tool's implementation should be made easier.
For how long have I used the solution?
I have been working with the product for two years.
What do I think about the stability of the solution?
The solution is stable.
What do I think about the scalability of the solution?
The tool is scalable. My company has more than 40 users for the solution.
How are customer service and support?
We had mailed tech support whenever we encountered issues and they had responded to us.
What about the implementation team?
The solution's deployment can be done in-house.
What's my experience with pricing, setup cost, and licensing?
The tool is free since it's an open-source product.
What other advice do I have?
I would rate the product an eight out of ten.
A highly scalable solution with an intuitive user interface
What is our primary use case?
I use the solution for our document databases, cloud databases, e-commerce databases, and invoices.
What is most valuable?
The solution has a very intuitive user interface. It is very simple to use.
What needs improvement?
The product should introduce database mapping between SQL queries and document queries.
The product does not have ORM.
For how long have I used the solution?
I have been using the solution for the last eight years.
What do I think about the stability of the solution?
I rate the solution’s stability a ten out of ten.
What do I think about the scalability of the solution?
I rate the solution’s scalability a ten out of ten.
How was the initial setup?
The initial setup was very straightforward.
What about the implementation team?
Deployment can take anywhere between one month to six months.
What's my experience with pricing, setup cost, and licensing?
The solution is fairly priced.
What other advice do I have?
The product is cloud-based. Overall, I rate the product a nine out of ten.
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.
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.
Free to use, NoSQL :)
What do you like best about the product?
Actually, I have more experience with Relational DB(s), but I used Mongo in a few projects. And I was happy with the usage of this in these projects. Free, lightweight and doesn't have strict structures.
What do you dislike about the product?
I don't have too much experience with it. For now I don't worst case with it yet.
What problems is the product solving and how is that benefiting you?
Lightweight, free and easy to implementation
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