Powerful Document Database with Good Flexibility
What do you like best about the product?
MongoDB is very flexible and easy to work with, especially when dealing with semi-structured or evolving data models. The document-based structure makes development faster since you’re not locked into rigid schemas like traditional relational databases. It integrates well with modern applications and works smoothly with various programming languages and frameworks.
I also appreciate how easy it is to scale horizontally, particularly when using MongoDB Atlas. Features like built-in replication, backups, and monitoring simplify operational management. The query language is powerful yet intuitive, and indexing options allow you to optimize performance effectively. Overall, it’s a solid database for modern, cloud-native applications.
What do you dislike about the product?
While flexibility is a strength, it can also lead to inconsistencies if schema validation isn’t enforced properly. Without clear structure and governance, data models can become messy over time. Performance tuning can require careful indexing and query optimization, especially at scale. Additionally, costs in managed environments like Atlas can grow quickly depending on storage size, backups, and cluster configuration.
What problems is the product solving and how is that benefiting you?
MongoDB allows us to handle dynamic and evolving data structures without constantly modifying rigid schemas. This speeds up development cycles and makes it easier to adapt applications as requirements change. It also supports high availability and scalability, ensuring our applications remain stable as usage grows. The ability to quickly store and retrieve large volumes of data in a flexible format has significantly reduced development overhead and improved time to market.
Effortless Setup, Perfect for Schema-Less Storage
What do you like best about the product?
I really like MongoDB for its ability to store schema-less data documents, which lets me easily store JSON objects with arrays of objects internally. I appreciate the feature to perform aggregation-based queries where I can add stages for different types of queries like match, project, group, and sort. The initial setup was very easy and smooth, which made getting started a breeze.
What do you dislike about the product?
I won't say it doesn't work, but the transactions and ability to handle the joins within different databases can be handled more effectively.
What problems is the product solving and how is that benefiting you?
MongoDB allows me to store information without defining any schema, solving the problem of storing data in a relational format. I like its ability to store schema-less data and perform complex aggregation queries to extract precise information for my app.
Flexible Schema-Less Documents That Make Node.js Development Faster
What do you like best about the product?
The flexible, schema-less document model is a real game changer. It comes with a lot of automated functions, and the auto-creation of collections is very convenient. The simplicity of Mongoose is also excellent. It lets me iterate quickly and adjust data structures without the headache of complex SQL migrations. Overall, it feels natural to store data as JSON-like documents that map directly to my application objects. As a node.js developer i like the seamless integration of node.js and mongodb
What do you dislike about the product?
mind tricking aggregation framework has too steep learning curve. Handling complex queries is not as intutive as sql. while lookup works but it not traditional as joins. Sometimes nested data can be messy to manage.
What problems is the product solving and how is that benefiting you?
The biggest benefit for me is development speed. As a MERN stack developer, being able to pass JSON-like documents from the React frontend through Node, Express and straight into the database without a lot of heavy mapping is a huge time-saver. On top of that, MongoDB Atlas takes care of the heavy lifting around scaling and backups, so I can stay focused on building features instead of spending time managing database infrastructure.
Effortless Setup, Powerful Data Handling
What do you like best about the product?
I really appreciate MongoDB's ability to support multiple data structures and document-based storage. The partition tolerance and its high availability make it extremely powerful. The integration and setup with our microservices are super easy, and there is really good documentation available to get started with it. MongoDB Atlas cloud database is extremely great, and we're shifting our focus from on-premise hosting to a cloud-hosted database. Also, it's easy to make changes in the schema because of its document-based modeling.
What do you dislike about the product?
Nothing to dislike about MongoDB. Everything works well with this powerful noSQL database.
What problems is the product solving and how is that benefiting you?
MongoDB solves the problem of saving complex data structures with document-based modeling, making schema changes easy. MongoDB Atlas cloud database is excellent, shifting our focus from on-premise to cloud hosted solutions.
Database with Strong Performance
What do you like best about the product?
MongoDB provides ease and flexibility when working with massive and unstructured data. MongoDB has a document structure that enables the complex data to be stored without schemas. The MongoDB platform scales smoothly and handles both small and big applications. The platform integrates easily with programming languages and environments. It promotes fast development. It offers a scalable and flexible means to manage database operations.
What do you dislike about the product?
The more complex queries will sometimes be less intuitive than what one would find in a traditional SQL database. Certain aspects of the system require further setup or the use of a paying account. Dealing with very large datasets might require a good amount of indexing and optimization. Aggregation pipelines will occasionally be a problem for the new user. It’s a good system, but these small problems occur.
What problems is the product solving and how is that benefiting you?
MongoDB tackles the challenge of handling unstructured and large-scale data with efficiency. It allows for flexible data modeling, fast development, and scaling without hassle. There's built-in replication and sharding for enhanced reliability and performance. All in all, this has saved time, simplified database administration, and supported application development in a scalable fashion.
Effortless Setup, Needs Better Vectorization Support
What do you like best about the product?
I like the basic architecture of MongoDB and how easy it is to find my JSON with Python libraries. It provides a good score with Python libraries, making data export, encryption, and decryption very easy. The latest feature about vector databases is just amazing for me as an AI engineer and has changed the landscape for me. I no longer need to use any other vector database, and I'm really comfortable using MongoDB. The initial setup was very easy, especially with the Mongo Compass and the resources provided for Python, which make it easier than any other setup.
What do you dislike about the product?
The major thing with the record databases is that you need to set them up manually most of the time. I would prefer if there's a setup to define everything from Python code rather than having to go into the Mongo interface and change it there. They don't provide automatic integration of vectorized databases from the Python code, which is a bit of a setback for me.
What problems is the product solving and how is that benefiting you?
I use MongoDB to easily store non-SQL data like JSON objects. It streamlines storing embeddings and integrates well with Python, saving me time and effort. MongoDB's ease of use and vector database feature are game-changers for my AI work.
Perfect for Developers: Flexible Schemas and Powerful Aggregation
What do you like best about the product?
Basically being as a developer i used it for making my schemas for backend in database and it have advantages of bson type structure which helps me to store the values of realtime type data and it helps me to implement aggregation pipeline as well as use the free tier of database of 512 mb which can be used in mongodb compass
What do you dislike about the product?
Nothing everything is fine just vpc connection is quite harder for new person
What problems is the product solving and how is that benefiting you?
Basically we are having chatting software as well as run time key addtion requirement at that time we have implement it for saving the data of different key as well as json type structure and it gives us benefits on pipeline of that schemas as. well
Flexible and scalable documental database system!
What do you like best about the product?
MongoDB is a highly flexible database system that brings several benefits, including support for document nesting and partial indexing across various fields. It continues to allow for robust aggregations, enabling the use of filters and regex operations. At the same time, MongoDB offers a more developer-friendly approach to viewing and modifying any JSON-type documents.
We have choose MongoDB for its inherit flexible and because it scales very well, which is exactly what we need.
What do you dislike about the product?
At times, it can be difficult to determine exactly how much data is being retrieved during an aggregation. Having this information readily available while performing such actions—whether in MongoDB Compass or similar tools—would be a significant advantage for assessing performance concerns and overall efficiency.
What problems is the product solving and how is that benefiting you?
MongoDB serves as the primary database system for our team, handling both the storage and retrieval of business data. We rely on it across all our microservices, organizing different areas of concern by using separate namespaces.
Effortless Document Storage, Steep Learning Curve with C#
What do you like best about the product?
I love how fast and easy it is to spin up a new cluster with MongoDB and store data. The ability to handle unstructured JSON data quickly and provide fast retrieval is incredibly valuable, especially for my AI-based application that utilizes data from web scraping. I find the document store feature of MongoDB particularly beneficial because it allows me to store any type of data without needing to create structures, which simplifies my development process significantly. The simplicity and ease of initial setup in MongoDB make it an ideal first choice for my database needs. Overall, my experience with MongoDB has been very positive, and I am likely to recommend it to others.
What do you dislike about the product?
I find it challenging to learn MongoDB with non-popular tech stacks like C# Dotnet Core Web API. There aren't enough resources available on the internet to facilitate learning how to effectively use MongoDB with Dotnet Core.
What problems is the product solving and how is that benefiting you?
I use MongoDB for fast storage and quick retrieval of unstructured JSON data, which simplifies managing data from my AI-based application without needing predefined structures.
Developers have benefited from flexibility and performance but pricing has needed further attention
What is our primary use case?
I still have recent experience with MongoDB Atlas as I have a contact with a representative for Brazil.
Azure and OCI are what we use as our main cloud providers.
I have hands-on experience with OCI, although I don't have a cloud for MongoDB Atlas; I have a cloud for databases and DevOps.
I don't develop directly with only MongoDB Atlas. However, I know the organization has a license with the product.
What is most valuable?
It's a very elastic solution for the purposes of our systems and the developers appreciate it for software development.
MongoDB Atlas's encryption capabilities help ensure data confidentiality and integrity.
I believe the software has performed well for us regarding data confidentiality and integrity.
What needs improvement?
I would say pricing is an area where MongoDB Atlas could improve.
For how long have I used the solution?
I don't have extensive experience with Linux products since it's not my area in my organization.
What do I think about the stability of the solution?
I believe the support is very good because I don't have a problem with the availability of the software.
What do I think about the scalability of the solution?
I am aware of the horizontal scaling capability.
How are customer service and support?
I would be willing to provide a review for one of the Oracle solutions or other solutions such as Linux as we have a Linux server, X8H56. OCI is the server name I remember, it's OCP.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
Our main cloud provider is Azure, not AWS.
We have MongoDB Atlas; MongoDB Atlas is what we use.
How was the initial setup?
I have tried to use Coherence, but it was a bad experience for us.
I didn't purchase MongoDB Atlas through AWS Marketplace; I only have a MongoDB Atlas license, not AWS.
What about the implementation team?
I have no idea about the pricing or setup cost with MongoDB Atlas.
What was our ROI?
I find it easy to use.
I think it's a good product.
What's my experience with pricing, setup cost, and licensing?
I have no idea about the pricing or setup cost with MongoDB Atlas.
Which other solutions did I evaluate?
We have MongoDB Atlas; MongoDB Atlas is what we use.
What other advice do I have?
I am only familiar with databases and applications. I am from the development team and I am a user of database and cloud but I don't know the infrastructure.
As a user, I deal with the Oracle Database.
I know the organization has a license with the product.
We don't utilize real-time analytics with MongoDB Atlas.
I don't use MongoDB Atlas directly, so I don't know how it can be improved.
I would place MongoDB Atlas at a medium level. I would rate it at a six or seven. I believe MongoDB Atlas can improve a little. My overall review rating for this product is six out of ten.
