Offers reliable engine for legacy needs but requires enhanced cost management and AI features
What is our primary use case?
I am not a partner of MongoDB; I am just a customer.
I do not use MongoDB in AI projects; only CosmoDB is used for AI projects, as MongoDB is an old pattern for us, and the new workload in AI is for a new pattern, which is CosmoDB for AI apps.
I would recommend MongoDB because it is a good pattern and a good product for legacy; for us, MongoDB is for legacy databases and legacy apps, and in this scope, it is a good pattern and a stable database engine; however, for new deployments and new applications, CosmoDB is a better engine.
What is most valuable?
My experience as a partner with Microsoft is very good because we have been a partner for three or four years, and it has been a very good experience.
MongoDB may have advantages over Cosmos DB perhaps in metrics because you can make some dashboards with database metrics, and there are many tools in MongoDB for dashboarding that are perhaps better than CosmoDB.
The dashboards in MongoDB have more functionalities; for example, you can create a dashboard with MongoDB database data, and it is simple to create, such as some sales dashboards, while I do not see this functionality to rapidly create such dashboards in CosmoDB.
What needs improvement?
While MongoDB is a good product, it is also an expensive product for support, and its scalability is acceptable, but the big problem with MongoDB is the cost.
For security in MongoDB, we work with encrypted databases by default, but we have not contracted the security options in our contract because it is too expensive, so we only implement encrypted databases without the security pack, which is very expensive for us; in security, we are at the first steps, just using encrypted databases.
I think additional features needed in MongoDB include perhaps vector databases, as I think they are not supported right now.
For how long have I used the solution?
I have been working with MongoDB for five years.
What do I think about the scalability of the solution?
The scalability in MongoDB is limited because we only work with ReplicaSet with two servers, and in comparison, the scalability in CosmoDB is much better than the MongoDB ReplicaSet models; although you can set the auto-provisioning of a node in ReplicaSet, it is very expensive, and we have to work with manual scalability in MongoDB.
The performance of MongoDB is good, especially in a ReplicaSet model, but if you want to pass on to another model, for example, Sharding models, it is very complicated; in ReplicaSet, it is acceptable, but if your workload needs more performance, and you must pass to a Sharding model, it is complicated in MongoDB, whereas in CosmoDB, it is simple.
What was our ROI?
We have seen a little ROI, and we want to target CosmoDB for this return on investment because it is the better model for this feature; however, with MongoDB, it is difficult to calculate the return on investment, as it is too expensive for our use.
What's my experience with pricing, setup cost, and licensing?
We pay approximately 2,000 euros per month for MongoDB.
What other advice do I have?
This solution receives a rating of 7 out of 10.
Leverages public cloud and ease to use but support response time requires improvement
What is our primary use case?
We used MongoDB on AWS for a specific project.
What is most valuable?
We put MongoDB on AWS for a specific project. It's easy to use.
What needs improvement?
If something is wrong on the cluster, then you need to contact the support team. The stability could be better.
For how long have I used the solution?
I used MongoDB for about a year.
What do I think about the stability of the solution?
It's okay. It's acceptable. The stability could be better.
How are customer service and support?
If something is wrong on the cluster, you need to contact the support team. At first, when we were trying to build a cluster.
How would you rate customer service and support?
What other advice do I have?
We rated MongoDB a seven out of ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Simple to learn and implement, but data consistency could be more efficient than traditional SQL
What is our primary use case?
I have used the product to store and manage data operations.
What is most valuable?
MongoDB is simpler to learn and implement than traditional SQL solutions like MySQL.
What needs improvement?
The product's data consistency could be more efficient than traditional SQLs.
For how long have I used the solution?
I have used MongoDB for a year while working on a project. I was using the latest version.
What do I think about the stability of the solution?
MongoDB was stable and much faster than traditional SQL.
What do I think about the scalability of the solution?
There were five MongoDB users in our organization working in different teams.
Which solution did I use previously and why did I switch?
I was working with MySQL before. I decided to use MongoDB rather than other products to learn something new. It is easier to learn and implement than other databases.
How was the initial setup?
The learning process for initial setup is easier compared to traditional SQL. Someone without prior experience working with it can learn the process quickly.
What's my experience with pricing, setup cost, and licensing?
MongoDB is an open-source product. We don't have to pay for the licenses.
What other advice do I have?
I advise others to evaluate a lot of other databases. MongoDB worked fine for my project. However, I would have selected a product besides MongoDB to improve my skills and learn something new.
I rate it a six out of ten.
Which deployment model are you using for this solution?
On-premises
An easy-to-use solution with reasonable pricing
What is most valuable?
What needs improvement?
It isn't easy to recognize entities with MongoDB.
How was the initial setup?
The tool's installation is easy for anyone with experience in databases.
What's my experience with pricing, setup cost, and licensing?
MongoDB's pricing is reasonable.
What other advice do I have?
I rate the solution a six out of ten.
Seamless Integration
What do you like best about the product?
MongoDB Charts seamlessly integrates with the MongoDB database, offering a unified experience for data storage and visualization. This integration eliminates the need for complex data transfers or additional tools, streamlining the process and saving valuable time for businesses.
What do you dislike about the product?
Setting up MongoDB Charts can be challenging, especially for users with limited technical expertise. The initial configuration and integration process may require additional documentation or guidance to streamline the setup and ensure a smooth onboarding experience.
What problems is the product solving and how is that benefiting you?
With MongoDB Charts, users can dive deeper into their data by leveraging interactive features and drill-down capabilities. This enables users to explore granular details, identify trends, and uncover hidden insights. The interactive nature of MongoDB Charts promotes data exploration and empowers users to gain a comprehensive understanding of their data.
One of the best visual representation tool
What do you like best about the product?
MongoDb is really helping us to find insights through great visual representation of data easily from our mongoDB atlas data and it's also able to handle complex objects in our datasource enabling so getting better and meaningful insights from the raw data.
What do you dislike about the product?
There isn't anything much to dislike about mongoDb as it has all the ingredients to help us get better insights from the data through our downstream steams. But Dashboard UI can get improved more.
What problems is the product solving and how is that benefiting you?
Currently in our organization data is flowing from multiple systems to our mongo db cluster before we had to manually export data and import in some tool to get data insights but now it's never been easier before.its really helping us to grow our product in the right direction.
Data analytics
What do you like best about the product?
Easy-to-use and powerful tool for creating your favorite reports
What do you dislike about the product?
No issue till now, it is very very useful
What problems is the product solving and how is that benefiting you?
Easy reports
Easy to use visualization maker for mongoDB
What do you like best about the product?
-MongoDB charts are very easy to use and straightforward to configure
-Allows creation of thorough charts of multiple data sources on top of MongoDB
-Free to try in Atlas
-Works out of the box in Atlas allows making visualization on top of the database cluster
-Easy to make charts using drag and drop
What do you dislike about the product?
-More charts type should be added
-Free version should have more options
-Does not work on on-premise databases, only works in cloud
What problems is the product solving and how is that benefiting you?
When data is coming in huge size it becomes very hard to keep track of what's happening. to overcome this MongoDB charts helps greatly to make sense of data in MongoDB
Simple to use within mongodb compass
What do you like best about the product?
Simple and easy to use. Being a non tech guy it saves me a lot of time to visualise data. The time consuming also saved drastically.
What do you dislike about the product?
The initial limitation of 1000 rows/files. Less options, charts.
What problems is the product solving and how is that benefiting you?
As a founder it helps me visualise data easily within DB.
Best way to visualize your mongo DB data
What do you like best about the product?
The best thing about these are built into my mongo db cluster and I don't need to integrate any 3rd party library to get my data in chart form. Also, it's not at any additional cost.
What do you dislike about the product?
Nothing so far I am satisfied so far. The chart solution is pretty awesome.
What problems is the product solving and how is that benefiting you?
We have to use third-party libraries or tools to visualize our data. Data visualization s very much needed for the DB data. We primarily use Mongo DB and built support for charts is pretty good to have.
