I use the solution for Web Application creation.

The solution is easily scalable and manageable. Tools can be easily added to the solution.

Customer support needs improvement knowledge-wise.

I have been using the solution for two years.

It is a stable solution. I rate the stability a ten out of ten.

It is a scalable solution. I rate it ten out of ten.

I rate the support an eight out of ten.

The initial setup is straightforward. The deployment takes three hours. I rate the initial setup a ten out of ten.

I have seen a 10% return on investment.

The solution is fairly priced. I rate the pricing a seven out of ten.

I rate the overall solution an eight out of ten.

MongoDB Atlas can be used to store data, migrate data from SQL to NoSQL, and collect data from websites.

Object-based data storing capability and managing non-structured data capability are the most valuable features of MongoDB Atlas.

MongoDB Atlas should add more APIs in their Terraform module because sometimes I find it difficult to find the resources in their Terraform model.

I have been using MongoDB Atlas for two to four years.

I rate MongoDB Atlas a nine out of ten for stability.

I rate MongoDB Atlas ten out of ten for scalability.

MongoDB Atlas’ initial setup was straightforward.

We use Terraform to deploy MongoDB Atlas. The deployment is easy if you have the code, and can be done within five minutes.

MongoDB Atlas has a good partnership with AWS, and there is no hassle in integrating the solution with any tool. I recommend users go ahead with MongoDB Atlas if they prefer to have NoSQL in their organization.

Overall, I rate MongoDB Atlas ten out of ten.

I am impressed with the tool's integrations.

The tool's implementation should be made easier.

I have been working with the product for two years.

The solution is stable.

The tool is scalable. My company has more than 40 users for the solution.

We had mailed tech support whenever we encountered issues and they had responded to us.

The solution's deployment can be done in-house.

The tool is free since it's an open-source product.

I would rate the product an eight out of ten.

I use the solution for our document databases, cloud databases, e-commerce databases, and invoices.

The solution has a very intuitive user interface. It is very simple to use.

The product should introduce database mapping between SQL queries and document queries.

The product does not have ORM.

I have been using the solution for the last eight years.

I rate the solution’s stability a ten out of ten.

I rate the solution’s scalability a ten out of ten.

The initial setup was very straightforward.

Deployment can take anywhere between one month to six months.

The solution is fairly priced.

The product is cloud-based. Overall, I rate the product a nine out of ten.

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.

It has a good easy to use gui and the ability to do most of the management operations under automation

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.

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.

I have been using the solution for four years.

The solution is very stable.

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.

The technical support team is skilled, prepared, and really helpful.

The initial setup is straightforward. Only one person is required for deployment.

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.

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.