We are using MongoDB Atlas for our log storage, transactional log storage, and we are into CPaaS business, communication platform as a service.
We are also using PostgresSQL in some of the applications, alongside MongoDB Atlas.
External reviews are not included in the AWS star rating for the product.
We are using MongoDB Atlas for our log storage, transactional log storage, and we are into CPaaS business, communication platform as a service.
We are also using PostgresSQL in some of the applications, alongside MongoDB Atlas.
The most valuable features of MongoDB Atlas in handling large data volumes include collection size and its NoSQL database capabilities.
The security features of MongoDB Atlas support our organization very well.
My company has seen financial benefits from using MongoDB Atlas because we are using open source.
There is nothing about MongoDB Atlas I would like to improve or any weak points at this time.
I have not thought through what other features I would like to see included in future updates.
MongoDB Atlas should support containerization.
I have been using this product for the past 5 years.
I find the installation process easy to deploy as it wasn't difficult to implement.
The stability of the product is very high, and I would rate it a nine out of ten for stability.
It's very much scalable, and I would rate scalability a nine.
For premium support, I would rate the support of MongoDB Atlas a nine.
Premium support requires additional payment; otherwise, you can manage whatever you can yourself.
Though I am currently not using support, I would rate it a nine.
Positive
I personally took part in the installation process.
I can deploy MongoDB Atlas in 2-3 hours.
When we make changes, responsibilities are always distributed. It will be a team whenever a production deployment comes.
My company has seen financial benefits from using MongoDB Atlas through savings because we are using open source.
Postgres is another option that is available for us. I have considered alternatives for MongoDB Atlas.
The database team consists of five to six people.
We are not currently using the AI functionality in MongoDB Atlas, though AI-driven projects are available in their vector search.
Based on my experience, I would recommend MongoDB Atlas to other users looking for NoSQL databases.
We do everything on our own and are not using third-party services for maintenance.
I am involved in the maintenance process.
We are using MongoDB Atlas for commercial purposes.
The number of people currently using this product in my organization is related to my platform hosted on MongoDB Atlas.
I think it's a competitive solution compared to others, though I cannot comment on pricing as I haven't seen pricing for other products.
I rate MongoDB Atlas a nine out of ten.
It's good for performance and stability if you need a non-SQL database to store data.
We use it as a database for some of our microservices. We use it as a database for a few of our microservices.
The stability and performance are great. The high availability feature is great.
Moreover, I am happy with the automated backup and restore functionality.
In the past, MongoDB offered more features for free, but now it's quite limited. The free version is limited, and you need to pay extra to fully utilize it.
The pricing could be improved.
I have experience with this solution. I've been with this product for a couple of years.
It is a stable solution. I would rate the stability a nine out of ten.
It is a scalable product, but only if you use the paid features. And if you enable sharded cluster functionality, it scales very well.
The initial setup is very straightforward.
The ease of setting up and maintaining your database clusters with MongoDB depends on the features you need. If you only need basic functionality, setup can be simple. But for additional features like reliability and backups, it might require a more complex configuration.
We did it in-house.
Overall, I would rate the solution a nine out of ten. I would recommend using this product.
If you need a no-SQL database, then MongoDB is a good choice.
The product is simple to use and enterprise-ready. It is also open-source.
I rate the product's stability a nine out of ten.
The tool's deployment is easy. We used Amazon EC2 Containers to deploy it.
MongoDB Atlas is a convenient database that you need to start using. I rate it a nine 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.
Positive
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.