MongoDB Atlas Reviews

We create a MongoDB database or clusters. Then, we connect it to the application in a normal simple way.

The dynamic structures are the most valuable. The SQL is fast but requires a different structure.

The speed when combining two documents is concerning. In SQL, there are Joins. You can define relationships between two tables and go for complicated structures, but you can't do that for MongoDB Atlas. You can have logical structures that do the same thing, but they are really slow compared to the Joins in SQL. Combining two separate documents within a database is not recommended because it affects performance. So if they can make it faster and more efficient, it would be amazing.

We have been using this solution for 15 months. I believe it is deployed on public cloud, AWS.

It is a stable solution. 

It is scalable, and they provide different options. We have about 20 people using the solution in our organization, and they are mostly developers.

The initial setup was straightforward.

I believe when it is deployed publicly, it is pretty cheap. But the costs are high if it is deployed on-premises or you're using a private database.

We decided to use MongoDB Atlas because we required some dynamic data structures. We never wanted to stick with a well-defined one. When there were questions about using well-defined ones, PostgreSQL turned out to be one of the choices, but we chose MongoDB Atlas.

I rate the solution an eight out of ten because it's a good product. It supports many functionalities, is easier to implement, and the only issue is speed. It also doesn't have a lot of features that could support Joins. So if they fix that, I could scale my rating as high as nine or ten. I would recommend the solution. It is very developer-friendly, and the learning curve is not that high.

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.

We restore our golden data from various sources and then push it to MongoDB. We make our CDP from MongoDB, which serves as a device-centric system.

There is a built-in feature called Autoscaling In MongoDB Atlas. This feature automatically adjusts the configuration of MongoDB based on the volume of users we ingest daily. Autoscaling dynamically scales the resources to accommodate the load when our data flow increases.

The real-time data visible within MongoDB Atlas is not accurate. If they can improve the UI that monitors real-time data. It's more impressive and more attractive. It could be more user-friendly.

I have been using MongoDB Atlas for two years.

The product is pretty stable.

The solution is scalable. Autoscaling supports it.

50 users are using this solution

Whenever we have doubts during configuration, we reach out for assistance. We must upgrade certain parameters in our MongoDB setup, prompting us to contact their support team. They resolve such issues within four to five hours.

The initial setup is not very complex. It is easy to use. It's easy to deploy on MongoDB. We push from GitHub. From there, we specify where the data is restored in MongoDB. We continue to connect. It puts the data and delivers it to Argo City.

The product has a yearly subscription.

We have assigned DevOps for security.

The overview and monitoring part will address this issue, and then we will use it to observe any increasing traffic on our website. We also monitor the rising number of connections due to this traffic. It's quite easy to oversee everything in one place. However, the UI isn't particularly user-friendly.

I've also used it in my previous company and found it handy and easy to configure, including easy capabilities.

We are establishing SLAs that are directly tied to MongoDB. All are interconnected with MongoDB. If MongoDB experiences downtime or RAM or CPU usage spikes significantly, users may encounter difficulties logging in. This reliance on MongoDB can pose challenges for user accessibility, particularly when considering the conferencing tools we use.

Overall, I rate the solution an eight out of ten.

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.  

We use the solution to build applications online.

I would like to have better performance for user experience with the solution.

I have been using the solution for one and a half years.

The initial setup is straightforward.

I give the solution an eight out of ten.

We have eight to ten people using the solution in our organization.

I recommend the solution. There are no problems with MongoDB Atlas

We store a lot of raw data in MongoDB and all our relational data is in RDS Aurora. We are still evaluating Aurora, however, primarily, most raw data is in MariaDB.

The solution is easy. It's just not the solution for every use case, however, it's very nice if you don't have structured data or you don't really worry about the structure all the time.

The integration capabilities are fine.

The dashboards are good.

The product is user-friendly.

The solution can scale. 

We don't have any issues with the solution at this time. It does what we need it to do. 

If it could be cheaper, that would make us happy.

I've used the solution for over five years. 

We don't have any problems with it. There are no bugs or glitches. It doesn't crash and freeze. 

The solution is scalable. If a company needs to expand it, it can do so.

We are a processing engine for financial transactions, therefore, we don't have a lot of users per se, however, we've got a lot of customers out there that use the functionality, the payment functionality that uses the system. While we don't have a user frontend all the time interacting with our database, it's basically systems talking to your database.

We've never had to deal with technical support yet, therefore, I can't speak to how helpful or responsive they might be.

Currently, I'm using Spring Boot on top of it and that's all I'm really worried about.

The initial setup is very simple and straightforward. It's not overly complex or difficult. You just create the database from the user's perspective, it's as easy as that. With AWS, it's not an issue anymore in terms of implementation. 

We have quite a big team of over 100 people and we're able to handle deployment and maintenance. 

We have a DevOps team that was able to handle the installation. 

You do get what you pay for. The solution isn't overly expensive. 

We don't have any subscriptions that I know of. We are paying for document DB, which is a clone of MongoDB. That's part of our whole solution.

Before choosing this solution we did not evaluate other options. 

I'd rate the solution at a nine out of ten. It's brilliant for what we are using it for.

I'd recommend the solution to others.

We use this solution for database-managed services.

The solution is easy to use, the console is user-friendly, and overall a well-designed solution. It takes a complex system and makes it easy to understand. Additionally, the solution is always advancing and they provide a roadmap into what is coming in the future.

I have been using the solution for approximately two years.

The solution is very stable.

When we use managed service it provides scalability automatically, it is a good option for us.

We purchased the license for the solution to allow us to use the support and it was very high-level support we received. We had technicians advising us for the migration and it was really helpful.

The installation was straightforward except for the network hardware because it was a little complicated to make the connection with our VPC on AWS.

The implementation was done by our two-person DevOps team and it took approximately one week.

The solution is expensive overall. It does not require a license but if you want the support then you will need to purchase the license. They use a pay-as-you-go model and you are able to receive some discounts by making longer usage commitments.

I rate MongoDB Atlas a ten out of ten.

MongoDB can be used for many things. It's a document store, so you can add whatever collection you need to it. We use it for an application that we've built.

My team is not using it at this time, although other teams in the company may be.

The cloud-based nature of this solution makes it flexible and scalable. I like the fact that you can make the deployment bigger, as needed.

Not having to maintain it yourself is good.

Querying a dataset is not very intuitive, so I think that it can be improved.

I have been using MongoDB Atlas for approximately two years, although I am not using it for my current project.

This is a stable product and we plan to continue using it.

This is a very scalable product. There are approximately five users.

I have not had experience with technical support.

Prior to this solution, we have used PostgreSQL, which is a database. As a document store, MongoDB is fine.

You don't have to maintain it yourself.

We pay for licensing on a monthly basis and we are fine with the cost.

I would rate this solution an eight out of ten.